Name: Data Analytics, FinTech and Cryptocurrency Course
Price: 21 GBP
Availability: InStock

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
								<div>
				<p><span>Register on the Excel for Data Analytics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion.</span></p><p><span>The Excel for Data Analytics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p><h5><b>What You Get With The Excel for Data Analytics </b></h5><ul><li><span>Receive a e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Course Design</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Certification</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
				</div>
				<div>
				<div>
			<h2>Who Is This Course For:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Requirements:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The online training is open to all students and has no formal entry requirements. To study the Excel for Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

Online Course Marketing

Business Analytics & Intelligence

Excel Analytics

Excel for Data Analytics

General Admission

<p><strong>24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now!<br />This </strong><strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </strong><strong> course is endorsed by The Quality Licence Scheme and accredited by CPDQS</strong><strong> (with 150 CPD points</strong><strong>) </strong><strong>to make your skill development &amp; career progression more accessible than ever!</strong></p><p>Are you looking to improve your current abilities or make a career move? If yes, our unique Data Analytics with Tableau at QLS Level 6 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Data Analytics with Tableau at QLS Level 6 course.</p><p>Due to Data Analytics with Tableau at QLS Level 6's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Data Analytics with Tableau at QLS Level 6 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career.</p><p>The Data Analytics with Tableau at QLS Level 6 course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Data Analytics with Tableau at QLS Level 6 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Data Analytics with Tableau at QLS Level 6 course.</p><p>This Data Analytics with Tableau at QLS Level 6 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p><p><strong>Why Prefer This Data Analytics with Tableau at QLS Level 6 Course?</strong></p><ul><li>Opportunity to earn a certificate endorsed by <strong>the Quality Licence Scheme</strong> &amp; another accredited by <strong>CPDQS </strong>which is completely free.</li><li>Get a <strong>free student ID card!</strong> (£10 postal charge will be applicable for international delivery)</li><li>Innovative and engaging content.</li><li>Free assessments</li><li>24/7 tutor support.</li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of the Data Analytics with Tableau at QLS Level 6 course:</p><ul><li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul><p><strong>Assessment Process</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the <strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </strong> exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Data Analytics with Tableau at QLS Level 6 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want!</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior background or expertise is required.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The Data Analytics with Tableau at QLS Level 6 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p><strong>Show off Your New Skills with a Certificate of Completion</strong></p><p>After successfully completing the <strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </strong>, you can order an original hardcopy certificate of achievement endorsed by <strong>the Quality Licence Scheme</strong> andalso you can order <strong>CPDQS</strong><strong>Accredited Certificate </strong>that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.</p> </div>
        <h4>CPDQS Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Academy for Health and Fitness

Data Analytics with Tableau at QLS Level 6

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
								<div>
				<p><span>Get detailed customer behaviour insights and know-how to measure the return on investment across various retail business aspects by enrolling in our Retail and Data Analytics course. Based on a set of Retail Management principles, this exclusive learning package mentors you to excel in Retail and Data Analytics to convey its benefits to your retail business and prepare yourself for future opportunities and challenges.</span></p><p><span>Retail and Data Analytics training focuses on sales, inventory, productivity, customers, and many crucial business operation aspects. After your successful completion, you'll be far more capable of dealing with product efficiency complications, communicating with the reputed Retail Organizations, delivering improved customer service to lure more people on the door and much more. Enrol today and find smart ways to make your prospects feel comfortable.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h3><b>Learning outcomes</b></h3>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Get introduced to retail and data analytics</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn to convert insights into profits</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn how actually to use reusable bags and seats.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Read up on compromise price effect</span>
									</li>
								<li>
											<span>
													</span>
										<span>Understand the left digit effect</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn the concept of treasure hunt</span>
									</li>
								<li>
											<span>
													</span>
										<span>Use data to find new micro-markets</span>
									</li>
								<li>
											<span>
													</span>
										<span>Gain the knowledge on competitor threat analytics</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know the hardcore terms</span>
									</li>
								<li>
											<span>
													</span>
										<span>Know the tracking effectiveness of celebrity marketing.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Recognize the benefits of real analytics</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					<div>
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
					</div>
			</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h3>Certificate of Achievement</h3>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><b>Endorsed Certificate of Achievement from the Quality Licence Scheme</b></p><p><span>Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage.</span></p><p><b>CPD Certificate of Achievement from Janets</b></p><p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h3>Endorsement</h3>		</div>
				</div>
				<div>
				<div>
								<div>
				<p>This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.</p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h3>Method of Assessment</h3>		</div>
				</div>
				<div>
				<div>
								<div>
				<p>In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate.</p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h3><b>Who is This Course for?</b></h3>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>This course is intended to teach individuals all the required aspects of Retail and Data Analytics and the ability to provide contingency and recovery plans for a high-performing organisation or business.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h3><b>Requirements</b></h3>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The Retail and Data Analytics is open to all students and has no formal entry requirements. To study the Retail and Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h3><b>Career Path</b></h3>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>This course is intended for those wanting to work in an operational or support area and take responsibility for identifying risk-related issues. As such, it covers the following careers and roles:</span></p><ul><li><span>Retail Financial Analyst</span></li><li><span>Insights Analyst Retail</span></li><li><span>Junior Retail Sales Analyst</span></li><li><span>Retail Category Finance Analyst</span></li><li><span>Test Analyst- eCommerce Transformation-Retail</span></li><li><span>Insight Analyst</span></li><li><span>Application Support Analyst</span></li><li><span>Contract Business Analyst</span></li></ul>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 1: Introduction to Retail Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Retail Analytics</td>
					<td> </td>
					<td><span><i></i> 00:50:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 2: Retail Psychology</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Retail Psychology</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"> Module 3: Retail and Data Analytics </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Retail and Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 4: Benefits of Retail Analytics </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Benefits of Retail Analytics</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 5: Retail Strategy</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Retail Strategy</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 6: Retail Buying and Merchandising</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Retail Buying and Merchandising</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td colspan="4"> Module 7: Forecasting</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forecasting</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 8: Retail Pricing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Retail Pricing</td>
					<td> </td>
					<td><span><i></i> 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 9: Analytics Software</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Analytics Software</td>
					<td> </td>
					<td><span><i></i> 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Supply Chain Management in Retailing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Supply Chain Management in Retailing</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: The Sales Process and Dealing with Customers at the Checkout</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Sales Process and Dealing with Customers at the Checkout</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4"> Module 12: Selling in Multiple Channels</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Selling in Multiple Channels</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td colspan="4"> Module 13: Taking Trends and Targeting Customers Effectively</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Taking Trends and Targeting Customers Effectively</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Retail And Data Analytics</td>
					<td> </td>
					<td><span><i></i> 2 weeks, 1 day</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order your Certificate QLS</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Retail Management

Predictive Analytics

Marketing Analytics

Trainers Course

Data Analyst

Retail and Data Analytics

<p><strong>Data Analyst (Data Analytics) - CPD Certified</strong></p><p>Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analytics Course.</p><p>This Data Analytics Course describes the fundamentals of data, statistics, and an introduction to data analytics. How to get data and where to find it is explained in the Data Analytics Course. Moreover, this Data Analytics Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analytics Course provides an introduction to Python and Excel for data analytics. This thorough Data Analytics Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python).</p><p>Enrol in our Data Analytics Course to study the fundamentals of statistical analysis and machine learning.</p><p><strong>Special Offers of this Data Analyst (Data Analytics) Course</strong></p><ul><li>Data Analyst (Data Analytics) Course includes a FREE PDF Certificate.</li><li>Lifetime access to this Data Analyst (Data Analytics) Course</li><li>Instant access to this Data Analyst (Data Analytics) Course</li><li>Get FREE Tutor Support from Monday to Friday in this Data Analyst (Data Analytics) Course</li></ul><p><strong>Courses are included in this Data Analyst (Data Analytics) Course</strong></p><ul><li><strong>Course 01: </strong>Cyber Security</li><li><strong>Course 02:</strong> GDPR</li><li><strong>Course 03:</strong> Business Administration</li></ul><p><strong>[ Note: Free PDF certificate as soon as completing the Data Analyst (Data Analytics) Course]</strong></p> <p><em><strong>Course Curriculum of Data Analyst (Data Analytics) - CPD Certified</strong></em></p><ul><li>Module 1: Introduction to Data Analytics</li><li>Module 2: Basics of Data and Statistics</li><li>Module 3: Data Collection and Sources</li><li>Module 4: Data Cleaning and Preprocessing</li><li>Module 5: Exploratory Data Analysis (EDA)</li><li>Module 6: Introduction to Excel for Data Analytics</li><li>Module 7: Introduction to Python for Data Analytics</li><li>Module 8: Data Wrangling with Pandas (Python)</li><li>Module 9: Data visualisation with Matplotlib and Seaborn (Python)</li><li>Module 10: Introduction to Basic Statistical Analysis</li><li>Module 11: Introduction to Machine Learning</li><li>Module 12: Capstone Project - Exploratory Data Analysis</li></ul><p><strong>Assessment Method</strong></p><p>After completing each module of the Data Analyst (Data Analytics) Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks.</p><p><strong>Certification</strong></p><p>After completing the MCQ/Assignment assessment for this Data Analyst (Data Analytics) course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99.</p> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>Data Analyst (Data Analytics) - CPD Certified</strong></p><p>For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analytics Course is ideal.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are <strong>no specific</strong> requirements for <strong>Data Analyst (Data Analytics) </strong>Course because it does not require any advanced knowledge or skills.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Data Analyst (Data Analytics) - CPD Certified</strong></p><p>This Data Analytics Course will assist you in obtaining positions as a business analyst, marketing analyst, data analyst, and in related fields.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Training Tale

Data Engineering

Big Data Analytics

Data Science

Certified in Data Protection (CDP)

Data Analyst (Data Analytics) - CPD Certified

Data Analyst (Data Analytics) Training

<p><strong>Data Analyst (Data Analytics) Training - CPD Certified - Free Certificate - Free Microsoft Excel &amp; PowerBI for Data Analyst (Data Analytics)</strong></p><p><strong>[Updated 2024]</strong></p><p><strong>Introducing the Revolutionary Data Analyst Training Course: Unleash the Power of Data Analytics!</strong></p><p>Are you ready to unlock the secrets hidden within the vast ocean of data? Do you aspire to become a sought-after data analyst with the power to transform businesses, drive informed decisions, and create unparalleled value?</p><p>Presenting our exclusive Data Analyst (Data Analytics) Training Course, designed to catapult you to success in the high-demand world of Data Analytics. Our Data Analyst (Data Analytics) Training program combines theoretical knowledge, cutting-edge Data Analyst (Data Analytics) techniques, and immersive experiences that will set you apart in the data-driven world.</p><p><strong>Key Features of Data Analyst (Data Analytics) Training</strong></p><ul><li>CPD Accredited Data Analyst (Data Analytics) Training</li><li>An instant PDF certificate</li><li>Fully online, interactive Data Analyst (Data Analytics) training course with audio voiceover</li></ul><p><strong>Free Course</strong></p><ul><li><strong>Course 01: </strong>Microsoft Excel for Data Analyst (Data Analytics)</li><li><strong>Course 02: </strong>PowerBI</li></ul><p><strong>Data Analyst (Data Analytics) Course Curriculum</strong></p><ul><li><strong>Module 01</strong>: Introduction to Data Analyst (Data Analytics)</li><li><strong>Module 02:</strong> Agenda and Principles of Process Management</li><li><strong>Module 03:</strong> The Voice of the Process</li><li><strong>Module 04</strong>: Working as One Team for Improvement</li><li><strong>Module 05:</strong> Exercise: The Voice of the Customer</li><li><strong>Module 06</strong>: Tools for Data Analysis - Data Analyst (Data Analytics) Tools</li><li><strong>Module 07</strong>: The Pareto Chart</li><li><strong>Module 08</strong>: The Histogram</li><li><strong>Module 09:</strong> The Run Chart</li><li><strong>Module 10</strong>: Exercise: Presenting Performance Data</li><li><strong>Module 11</strong>: Understanding Variation</li><li><strong>Module 12:</strong> The Control Chart</li><li><strong>Module 13</strong>: Control Chart Example</li><li><strong>Module 14:</strong> Control Chart Special Cases</li><li><strong>Module 15:</strong> Interpreting the Control Chart</li><li><strong>Module 16:</strong> Control Chart Exercise</li><li><strong>Module 17:</strong> Strategies to Deal with Variation</li><li><strong>Module 18</strong>: Using Data to Drive Improvement</li><li><strong>Module 19</strong>: A Structure for Performance Measurement</li><li><strong>Module 20:</strong> Data Analysis Exercise for Data Analyst (Data Analytics)</li><li><strong>Module 21</strong>: Data Analyst (Data Analytics) Course Project</li><li><strong>Module 22:</strong> Test Data Analyst (Data Analytics) Understanding</li></ul><p><strong>Certification</strong></p><p>Once you've successfully completed your Data Analyst (Data Analytics) course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><p><strong>Assessment</strong></p><p>At the end of the Data Analyst (Data Analytics) course, there will be an online assessment, which you will need to pass to complete the course.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Data Analyst (Data Analytics) course is suitable for:</p><ol><li>Aspiring Data Analysts</li><li>College Students &amp; Graduates</li><li>IT Professionals</li><li>Business Professionals</li><li>Entrepreneurs &amp; Small Business Owners</li><li>Researchers &amp; Academics</li><li>Career Changers</li></ol><p>Please note: This Data Analyst (Data Analytics) course doesn't provide professional qualifications. TO get qualified, you may like to choose:</p><ul><li>Certified Data Analysis Professional</li><li>Certified Data Visualization Professional</li><li>MCSE Data Management &amp; Analytics</li><li>Big data</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst</li><li>Business Intelligence Analyst</li><li>Data Scientist</li><li>Research Analyst</li><li>Data Visualization Specialist</li><li>Database Administrator</li><li>Marketing Analyst</li><li>Financial Analyst</li><li>Operations Analyst</li><li>Healthcare Data Analyst</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p></div>

                        </div>

Training Express

Data Analyst (Data Analytics) Course

<p><strong>Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now</strong></p> <p>Data analytics is a rapidly expanding discipline, and talented analysts are highly sought after in all industries. The UK and multinational organizations will undoubtedly see an increase in demand for skilled analysts in the coming years. We have created an 11-in-1 bundle course with a distinctive design to help you stand out in the related job market. It will guide you on how to read, evaluate, and display data in a way that is clear to all users and helps guide decisions.</p> <p>Along with this IT and Analytics course, you will get <strong>10 premium courses, an original </strong><strong>Hardcopy</strong>, <strong>11 PDF Certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p><strong>This Bundle Consists of the following Premium IT and Analytics courses: </strong></p> <ul> <li><strong> Course 01: </strong>Introduction to Data Analysis</li><li><strong> Course 02: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 03: </strong>Excel Pivot Tables</li><li><strong> Course 04: </strong>Google Data Studio: Data Analytics</li><li><strong> Course 05: </strong>Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li><strong> Course 06: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 07: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 08: </strong>RCA: Root Cause Analysis</li><li><strong> Course 09: </strong>Master JavaScript with Data Visualization</li><li><strong> Course 10: </strong>CompTIA CySA+ Cybersecurity Analyst (CS0-002)</li><li><strong> Course 11: </strong>Electronic Document Management System Step</li></ul> <p><strong>Learning Outcomes</strong></p> <ul> <li>Get an overview of data analysis.</li><li>Familiarise yourself with the data science approach from the ground up.</li><li>Learn the link between google data studio and data analytics.</li><li>Explore various Excel data tools and management.</li><li>Gain a better understanding of statistics and probability in terms of data science.</li><li>Learn the fundamentals of Root cause analysis.</li><li>Learn javascript and data visualization.</li><li>Get introduced to the CSO-002.</li><li>Get insight into electronic document management systems.</li></ul><p><strong>Curriculum</strong></p> <p><strong> Course 01: Introduction to Data Analysis</strong></p> <ul> <li>Introduction</li><li>Agenda and Principles of Process Management</li><li>The Voice of the Process</li><li>Working as One Team for Improvement</li><li>Exercise: The Voice of the Customer</li><li>Tools for Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting the Control Chart</li><li>Control Chart Exercise</li><li>Strategies to Deal with Variation</li><li>Using Data to Drive Improvement</li><li>A Structure for Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test your Understanding</li></ul> <p><strong>---------- Other Courses Are ----------</strong></p> <p><strong> Course 02: Quick Data Science Approach from Scratch</strong></p> <p><strong> Course 03: Excel Pivot Tables</strong></p> <p><strong> Course 04: Google Data Studio: Data Analytics</strong></p> <p><strong> Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</strong></p> <p><strong> Course 06: Business Intelligence and Data Mining Masterclass</strong></p> <p><strong> Course 07: Statistics &amp; Probability for Data Science &amp; Machine Learning</strong></p> <p><strong> Course 08: RCA: Root Cause Analysis</strong></p> <p><strong> Course 09: Master JavaScript with Data Visualization</strong></p> <p><strong> Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002)</strong></p> <p><strong> Course 11: Electronic Document Management System Step</strong></p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        120 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <ul> <li>Anyone trying to get into the IT industry.</li><li>Anyone who wants to better comprehend the role of IT and business analytics.</li><li>Professionals who are looking to optimize business processes.</li></ul> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>This course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>This bundle course is a very engaging course and is proven to be beneficial to the many careers</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>Certificate of completion is included in course price.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Introduction to Data Analysis</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p> </div>

                        </div>

Apex Learning

IT and Data Analytics

<p>Data Analytics in Practice course teaches you everything on the topic thoroughly from scratch so you can achieve a certificate for free to showcase your achievement in professional life.</p> <p>This Data Analytics in Practice course is a comprehensive course designed to provide a detailed understanding of the nature of the related sector and your key roles within it.</p> <p>The training materials of this Data Analytics in Practice course are available online for you to learn at your own pace and fast-track your career with ease.</p> <p><strong>Key Features </strong></p> <ul> <li>Accredited by CPD</li><li>Instant e-certificate</li><li>Fully online, interactive Data Analytics in Practice course with audio voiceover</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul> <p><strong>Free Gifts</strong></p> <ul> <li>Life Coaching Course</li></ul> <p><strong>Enrol now in this </strong><strong>Data Analytics in Practice</strong><strong> course to excel! </strong></p><p>To become successful in your profession, you must have a specific set of skills to succeed in today's competitive world. In this in-depth Data Analytics in Practice training course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge &amp; skills.</p> <p>The curriculum of the Data Analytics in Practice course has been designed by experts with years of experience behind them which is extremely dynamic and well-paced to help you understand the subject matter with ease.</p> <p><strong>Curriculum</strong></p> <ul> <li>Module 01: Introduction to the World of Data</li><li>Module 02: Basics of Data Analytics</li><li>Module 03: Statistics for Data Analytics</li><li>Module 04: Actions Taken in the Data Analysis Process</li><li>Module 05: Gathering the Right Information</li><li>Module 06: Storing Data</li><li>Module 07: Data Mining</li><li>Module 08: Excel for Data Analytics</li><li>Module 09: Tools for Data Analytics</li><li>Module 10: Data-Analytic Thinking</li><li>Module 11: Data Visualisation That Clearly Describes Insights</li><li>Module 12: Data Visualisation Tools</li></ul> <p><strong>Accreditation</strong></p> <p>All of our courses are fully accredited, including this Data Analytics in Practice course, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p> <p><strong>Certification</strong></p> <p>Once you've successfully completed your Data Analytics in Practice course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        15 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <p>This course is ideal for all employees or anyone who genuinely wishes to learn more about Data Analytics in Practice basics.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>No prior degree or experience is required to enrol in this course.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p> </div>

                        </div>

Data Analytics in Practice Course

<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Overview</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p><span>By enroling in FinTech and Big Data Analytics, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.</span></p><p><span>The FinTech and Big Data Analytics course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent FinTech and Big Data Analytics course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our FinTech and Big Data Analytics Program.</span></p><p><span>So enrol in our FinTech and Big Data Analytics course right away if you're keen to envision yourself in a rewarding career.</span></p>						</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Description</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p><span>Enroling in this FinTech and Big Data Analytics course can improve your FinTech and Big Data Analytics perspective, regardless of your skill levels in the FinTech and Big Data Analytics topics you want to master. If you're already a FinTech and Big Data Analytics expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced FinTech and Big Data Analytics insights that will help you make the most of your time. This FinTech and Big Data Analytics course will act as a guide for you if you've ever wished to excel at FinTech and Big Data Analytics.</span></p>						</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Why Choose Us?</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>This course is accredited by the CPD Quality Standards.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Lifetime access to the whole collection of the learning materials.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Online test with immediate results.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Enroling in the course has no additional cost.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You can study and complete the course at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.</span>
									</li>
						</ul>
				</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Will I Receive A Certificate Of Completion?</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p>Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.</p>						</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Who Is This Course For?</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p><span>This FinTech and Big Data Analytics course is a great place to start if you're looking to start a new career in FinTech and Big Data Analytics field. This training is for anyone interested in gaining in-demand FinTech and Big Data Analytics proficiency to help launch a career or their business aptitude. </span></p>						</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Requirements</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p><span>The FinTech and Big Data Analytics course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of FinTech and Big Data Analytics, without any fuss.</span></p>						</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Career Path</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<p><span>This FinTech and Big Data Analytics training will assist you develop your FinTech and Big Data Analytics ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  FinTech and Big Data Analytics professional story and personalise your path to a new career. Furthermore, developing this FinTech and Big Data Analytics skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.</span></p>						</div>
				</div>
				</div>
					</div>
				</div>
		<div>
					<div>
		<div>
				<div>
				<div>
					<div>
			<div>
						</div>
		</div>
				</div>
				</div>
				</div>
		<div>
				<div>
				<div>
			<h4>Order Your Certificate</h4>		</div>
				</div>
				</div>
		<div>
				<div>
				<div>
							<div><div><div><div id="1693981461.590199"><div><div><div><div><div><div><div><div><div><div><div>To order CPD Quality Standard Certificate, we kindly invite you to visit the following link:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>						</div>
				</div>
				<div>
				<div>
					<div>
			
						<span>
						
		</span>
					
		</div>
				</div>
				</div>
				</div>
					</div>
				</div> <div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table>				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Financial Technology - FinTech</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Financial Technology - FinTech</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Exploring Cryptocurrencies</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exploring Cryptocurrencies</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: RegTech</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>RegTech</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Rise of InsurTechs</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Rise of InsurTechs</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Big Data Basics: Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Big Data Basics Understanding Big Data</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: The Future of Fintech</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Future of Fintech</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificate</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

NextGen Learning

FinTech and Big Data Analytics Course

<p>Data Analytics, FinTech and Cryptocurrency bundle course teaches you everything on the Data Analytics, FinTech and Cryptocurrency topic thoroughly from scratch so you can achieve a certificate for free to showcase your achievement in professional life. </p><p>This Data Analytics, FinTech and Cryptocurrency bundle course is a comprehensive course designed to provide a detailed understanding of the nature of the Data Analytics, FinTech and Cryptocurrency related sector and your key roles within it.</p><p>The training materials of this Data Analytics, FinTech and Cryptocurrency course are available online for you to learn at your own pace and fast-track your career with ease.</p><p><strong>Key Features of </strong><strong>Data Analytics, FinTech and Cryptocurrency </strong><strong>Bundle</strong></p><ul><li>CPD Accredited Data Analytics, FinTech and Cryptocurrency Course</li><li>Instant PDF certificate</li><li>Fully online, interactive Data Analytics, FinTech and Cryptocurrencycourse</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Enrol now in this </strong><strong>Data Analytics, FinTech and Cryptocurrency</strong><strong> Bundle course to excel! </strong></p><p>To become successful in your profession, you must have a specific set of Data Analytics, FinTech and Cryptocurrency skills to succeed in today's competitive world. In this in-depth Data Analytics, FinTech and Cryptocurrencytraining course, you will develop the most in-demand Data Analytics, FinTech and Cryptocurrency skills to kickstart your career, as well as upgrade your existing knowledge &amp; skills.</p><p><strong>Data Analytics, FinTech and Cryptocurrency </strong><strong>Curriculum</strong></p><ul><li><strong>Course 01: </strong>Data Analytics<strong><br /></strong></li></ul><ul><li><strong>Course 02: </strong>FinTech<strong><br /></strong></li></ul><ul><li><strong>Course 03: </strong>Cryptocurrency<strong><br /></strong></li></ul><p><strong>Accreditation</strong></p><p>This Data Analytics, FinTech and Cryptocurrency bundle courses are CPD accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your Data Analytics, FinTech and Cryptocurrency course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        35 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is ideal for all employees or anyone who genuinely wishes to learn more about Data Analytics, FinTech and Cryptocurrency basics.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior degree or experience is required to enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Analytics, FinTech and Cryptocurrency Course will help you to explore avariety of career paths in the related industry. </p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hardcopy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p><strong>Hardcopy Certificate (UK Delivery):</strong></p><p>For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only <strong>£3.99</strong>.</p><p><strong>Hardcopy Certificate (International Delivery):</strong></p><p>For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only <strong>£10</strong>.</p></div>

                        </div>

Data Analytics, FinTech and Cryptocurrency Course

London

<article>
<div>
<h5>Python Data Analytics Course</h5>
</div>
<div></div>
<p>  						 
	</p><div>
	<ul>
		
<div>
    <div id="widget-reviews"><div><h3>Python Beginners Course</h3><div><span></span><span></span><span></span><span></span><span></span><div>(4.6)</div></div><span></span><br /><div>Based on 5 reviews</div><div><div><div id="previous"><i></i></div><div id="currentReview"><div> Excellent course, led by a knowledg</div><div> Excellent course, led by a knowledgeable and engaging instructor. I attended ...</div><div> Helen S</div></div><div id="next"><i></i></div></div></div></div></div>
    <div id="widget-link">
        Powered by findcourses.co.uk
    </div>
</div>

		<p>
		<b>Python Data Course. </b>Data Analytics with Python using Numpy, Pandas, Dataframes. 
		<br />Most attendees are in-work Data Professional.
		<br />Private individuals are very welcome. 
		<br /><b>Our Style: </b>Hands-on, Practical  
		<br /><b>Location:  </b>Online, Instructor-led  
		<br /><b>Download:  </b>anaconda.com
		<br /><b>Duration:  </b>2 consecutive days, 10am - 5pm
		<br /><b>Times: </b>arrange a time for your time zone
	    </p>
	</ul>	

<p></p>
</div></article>

<div>
	  <div>
			<h5>Python Data Analytics Course </h5>
	  </div>
	  <div></div>
	  <p>  
	  <br /> 
	  </p>
	<div>
	<h5>Session 1: Database: </h5>
	</div>
	<div></div>
	<div> 
					<p>  <strong>SQLite3:</strong>  
					<br /> Linking with SQL Database.
					<br /> Create, Amend and Drop Tables.
					<br /> Insert, Update and delete records.
					<br /> Select queries.
					<br /> Traverse and display query results.
					<br /> Using parameters in queries.
					<br /> Get metadata about tables and columns. 
					</p> 
			</div>
	<div>
	<h5>Session 2: Data Structures</h5>
	</div> <div></div>
	<div> 
				<p> <strong>Data Structures:</strong>  
					<br />Tuples.
					<br />Sets.
					<br />Dictionary. Nested Dictionary.
					<br />Json Files.
				</p>
			</div>
	<div>
	<h5>Session 3: Python Numpy</h5>
	</div> <div></div>
	<div> 
				<p>  <strong>Numpy:</strong>  
				<br />The Python NumPy Module:
				<br />Working with arrays, create data using arrays.
				<br />Array manipulation.
				<br />String functions on arrays. 
				<br />Math, arithmetic and statistical functions.
				
				</p>
			</div>
	<div>
	<h5>Session 4: Python Pandas Dataframes and data importing</h5>
	</div> <div></div>
	<div>
		<p>  <strong>Python Dataframes</strong>  
		<br /> Data Series. Date/ Time Functionality. Time series.
		<br /> Creating Dataframes, Indexing. 
		<br />Dict to Dataframe, Dataframe to Dict.
		<br />Csv to Dataframe, Dataframe to csv.
		<br />Excel to Dataframe, Dataframe to Excel.
		</p>
	</div>

	<div>
	<h5>Session 5: Data Cleaning and preparation</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Cleaning and preparation</strong>  
		<br />Finding, replacing and filtering missing data.
		<br />Remove Duplicates.
		<br />Replacing values.
		<br />Renaming Axis Indexes.
		</p>
	</div>
	
	<div>
	<h5>Session 6: Pandas Data Wrangling</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Wrangling:</strong>   
		
		<br />Indexing, Re-indexing, 
		<br />Reorder, 
		<br />Sorting, Stastitics, 
			<br />Transforming data using  
		<br />Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
		 
		</p>
	</div>
	
	<div>
	<h5>Week 6: Pandas Data Analysis</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Analysis:</strong>   
		<br /> Sorting. 
		<br /> Analysing and finding data using filter, slicing and dataframe queries. 
		<br /> Finding data by Iteration.
		<br /> Find statistics: Functions, Aggregate functions. 
		<br /> Unique values.
		<br />String objects, Regex. 
		</p>
	</div>
</div>
 

<div>   

	   <div id="cincluded">
		  <div>
			 <h5>Included with the Python Course</h5>
		  </div>

		  <article>
		  <div>
			 <ul>
				<li>PCWorkshops Course Certificate on completion  </li>
									   
				<li>Python Course Notes</li>
				<li>Python Code Examples</li>
				<li>Practical Python Course exercises and Code Samples</li>
				<li>After the course: 1-Hour personalised online revision session</li>
			 </ul>
		  </div>
		  </article>
	   </div>
				    
<div>
	                  <div>
	                     <h5 id="cincluded2">Book the Python Course</h5>
	                  </div>
 
	 
		<div id="eventbrite-widget-container-48025096356"></div>
		
		  		
					
					 
</div>
				   <div id="caboutus">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
									 </ul>
					    		</div>
					    		<div>
					    			
					    				
					    			
					    		</div>
					    	</div>
	                     
					    </div>
					    </article>						
	               </div>
				   
				   
	        </div>

Python Data Analytics Course

Python Data Analytics with Python using 
Numpy, 
Pandas, Dataframes. 

Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 1 consecutive day, 11am-5pm
Dates Times: You may let us know which dates your would prefer, or attend as scheduled

Python Data Analytics Course Description
  
Session 1: Database:
 SQLite3: 
 Linking with SQL Database. 
 Create, Amend and Drop Tables. 
 Insert, Update and delete records. 
 Select queries. 
 Traverse and display query results. 
 Using parameters in queries. 
 Get metadata about tables and columns. 
Session 2: Data Structures
 Data Structures: 
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files. 
Session 3: Python Numpy
 Numpy: 
The Python NumPy Module: 
Working with arrays, create data using arrays. 
Array manipulation. 
String functions on arrays. 
Math, arithmetic and statistical functions. 
Session 4: Python Pandas Dataframes and data importing
 Python Dataframes 
 Data Series. Date/ Time Functionality. Time series. 
 Creating Dataframes, Indexing. 
Dict to Dataframe, Dataframe to Dict. 
Csv to Dataframe, Dataframe to csv. 
Excel to Dataframe, Dataframe to Excel. 
Session 5: Data Cleaning and preparation
 Data Cleaning and preparation 
Finding, replacing and filtering missing data. 
Remove Duplicates. 
Replacing values. 
Renaming Axis Indexes. 
Session 6: Pandas Data Wrangling
 Data Wrangling: 
Indexing, Re-indexing, 
Reorder, 
Sorting, Stastitics, 
Transforming data using 
Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
Week 6: Pandas Data Analysis
 Data Analysis: 
 Sorting. 
 Analysing and finding data using filter, slicing and dataframe queries. 
 Finding data by Iteration. 
 Find statistics: Functions, Aggregate functions. 
 Unique values. 
String objects, Regex. 
Included with the Python Course
PCWorkshops Course Certificate on completion
Python Course Notes
Python Code Examples
Practical Python Course exercises and Code Samples
After the course: 1-Hour personalised online revision session
 

PCWorkshops

Python

Pandas

Python Data Analytics with Python using 



Numpy, 




Pandas, Dataframes. 





Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 



Python Data Analytics Course

General admission

<h3><b>Overview</b></h3><p><span>With the ever-increasing demand for </span><span>Big Data Analytics</span><span> in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Big Data Analytics  may be.</span></p><p><span>Learning about Big Data Analytics  or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Big Data Analytics . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Big Data Analytics  is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</span></p><p><span>The self-paced online learning methodology by compete high in this Big Data Analytics  course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</span></p><p><span>Instead of searching for hours, enrol right away on this Big Data Analytics  course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</span></p><h3></h3><h3><b>Who is this course for?</b></h3><p><span>While we refrain from discouraging anyone wanting to do this Big Data Analytics  course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</span></p><ol><li><span>Anyone looking for the basics of Big Data Analytics ,</span></li><li><span>Jobseekers in the relevant domains,</span></li><li><span>Anyone with a ground knowledge/intermediate expertise in Big Data Analytics ,</span></li><li><span>Anyone looking for a certificate of completion on doing an online training on this topic,</span></li><li><span>Students of Big Data Analytics , or anyone with an academic knowledge gap to bridge,</span></li><li><span>Anyone with a general interest/curiosity</span></li></ol><h3></h3><h3><b>Career Path</b></h3><p><span>This Big Data Analytics  course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.</span></p><p><span> </span></p><p> </p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module 1_ Introduction to Big Data.</h4><div><div><ul><li><div>
<span></span><h5>
Introduction to Big Data.</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 2_ Hadoop and MapReduce.</h4><div><div><ul><li><div>
<span></span><h5>
Hadoop and MapReduce.</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 3_ NoSQL Databases.</h4><div><div><ul><li><div>
<span></span><h5>
NoSQL Databases.</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 4_ Data Storage and Retrieval.</h4><div><div><ul><li><div>
<span></span><h5>
Data Storage and Retrieval.</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 5_ Data Processing with Spark.</h4><div><div><ul><li><div>
<span></span><h5>
Data Processing with Spark.</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 6_ Data Analysis with Hadoop and Pig.</h4><div><div><ul><li><div>
<span></span><h5>
Data Analysis with Hadoop and Pig.</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

Overview
With the ever-increasing demand for Big Data Analytics in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Big Data Analytics may be.
Learning about Big Data Analytics or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Big Data Analytics . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Big Data Analytics is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.
The self-paced online learning methodology by compete high in this Big Data Analytics course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!
Instead of searching for hours, enrol right away on this Big Data Analytics course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.

Who is this course for?
While we refrain from discouraging anyone wanting to do this Big Data Analytics course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:
Anyone looking for the basics of Big Data Analytics ,
Jobseekers in the relevant domains,
Anyone with a ground knowledge/intermediate expertise in Big Data Analytics ,
Anyone looking for a certificate of completion on doing an online training on this topic,
Students of Big Data Analytics , or anyone with an academic knowledge gap to bridge,
Anyone with a general interest/curiosity

Career Path
This Big Data Analytics course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.
 
 

Course Curriculum
Module 1_ Introduction to Big Data.
Introduction to Big Data.

00:00
Module 2_ Hadoop and MapReduce.
Hadoop and MapReduce.

00:00
Module 3_ NoSQL Databases.
NoSQL Databases.

00:00
Module 4_ Data Storage and Retrieval.
Data Storage and Retrieval.

00:00
Module 5_ Data Processing with Spark.
Data Processing with Spark.

00:00
Module 6_ Data Analysis with Hadoop and Pig.
Data Analysis with Hadoop and Pig.

00:00

Compete High

Data Skills

Big Data

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!</strong></p><p>Gain the essential skills for a<strong> Data Analyst </strong>role through this <strong>TWENTY-in-One career-oriented </strong>Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a <strong>20% growth by 2028</strong> (U.K. Bureau of Labor Statistics).</p><p>Power your<strong> Data Analyst </strong>career by learning the <strong>core principles</strong> of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including <strong>Excel</strong>, <strong>Power BI</strong>, <strong>SQL</strong>, <strong> Python</strong>, <strong>Google Data Studio</strong>,<strong> Tableau</strong> and <strong>SAS</strong>, gaining practical experience with data manipulation and applying analytical techniques.</p><p>Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.</p><p><strong>This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:</strong></p><ul><li><strong>Course 01:</strong> Introduction to Data Analysis</li><li><strong>Course 02:</strong> Data Analytics with Tableau</li><li><strong>Course 03:</strong> Python for Data Analysis</li><li><strong>Course 04:</strong> Basic Google Data Studio</li><li><strong>Course 05:</strong> SQL NoSQL Big Data and Hadoop</li><li><strong>Course 06:</strong> Complete Microsoft Power BI 2021</li><li><strong>Course 07:</strong> Fundamentals of Business Analysis</li><li><strong>Course 08:</strong> Complete Introduction to Business Data Analysis Level 3</li><li><strong>Course 09:</strong> Business Intelligence and Data Mining Masterclass</li><li><strong>Course 10:</strong> Research Methods in Business</li><li><strong>Course 11:</strong> Statistical Analysis</li><li><strong>Course 12:</strong> Graph Theory Algorithms</li><li><strong>Course 13:</strong> Clinical Data Analysis with SAS</li><li><strong>Course 14:</strong> Data Analysis in Excel Level 3 Course</li><li><strong>Course 15:</strong> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 16:</strong> PowerPoint Diploma</li><li><strong>Course 17:</strong> Data Protection and Data Security Level 2</li><li><strong>Course 18:</strong> Functional Skills IT</li><li><strong>Course 19:</strong> Decision Making and Critical Thinking</li></ul><p>So, enrol in this Data Analyst : Data Analytics Training now to advance your career!</p><p>This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.</p><p>The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><p><strong>H</strong><strong>ow will I get my Certificate?</strong></p><p>After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        125 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Data Analyst : Data Analytics Training<strong>: </strong></p><p>This <strong>Data Analyst (Data Analytics) </strong>Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Machine learning engineer</li><li>Data analytics consultant</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!
Gain the essential skills for a Data Analyst role through this TWENTY-in-One career-oriented Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth by 2028 (U.K. Bureau of Labor Statistics).
Power your Data Analyst career by learning the core principles of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including Excel, Power BI, SQL,  Python, Google Data Studio, Tableau and SAS, gaining practical experience with data manipulation and applying analytical techniques.
Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.
This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Data Analytics with Tableau
Course 03: Python for Data Analysis
Course 04: Basic Google Data Studio
Course 05: SQL NoSQL Big Data and Hadoop
Course 06: Complete Microsoft Power BI 2021
Course 07: Fundamentals of Business Analysis
Course 08: Complete Introduction to Business Data Analysis Level 3
Course 09: Business Intelligence and Data Mining Masterclass
Course 10: Research Methods in Business
Course 11: Statistical Analysis
Course 12: Graph Theory Algorithms
Course 13: Clinical Data Analysis with SAS
Course 14: Data Analysis in Excel Level 3 Course
Course 15: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 16: PowerPoint Diploma
Course 17: Data Protection and Data Security Level 2
Course 18: Functional Skills IT
Course 19: Decision Making and Critical Thinking
So, enrol in this Data Analyst : Data Analytics Training now to advance your career!
This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.
The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
How will I get my Certificate?
After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (For The Title Course)
Hard Copy Certificate: Free (For The Title Course)
P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.
 CPD 
125 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.
 Requirements 
This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.
 Career path 
Data Analyst : Data Analytics Training: 
This Data Analyst (Data Analytics) Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b
Data analytics manager
Financial analyst
Marketing analyst
Systems analyst
Data scientist
Machine learning engineer
Data analytics consultant
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (Data Analysis) absolutely Free! 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Data Analyst : Data Analytics Training

<p><strong></strong><strong> Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! </strong><strong></strong></p><p><strong>Are you looking to improve your current abilities or make a career move? Our unique</strong><strong> Data Analytics with Tableau</strong><strong> course might help you get there! Expand your expertise with high-quality training - study the</strong><strong> Data Analytics with Tableau </strong><strong>course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the</strong><strong>online training course.</strong></p><p>The Data Analytics with Tableau course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Data Analytics with Tableau course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course.</p><p>This Data Analytics with Tableau training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p><p><strong>Why Prefer Us? </strong></p><ul><li>Opportunity to earn a certificate accredited by <strong>CPDQS.</strong></li><li><strong>Get a free student ID </strong>card!(£10 postal charge will be applicable for international delivery)</li><li>Innovative and Engaging Content.</li><li>Free Assessments</li><li>24/7 Tutor Support.</li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of the Data Analytics with Tableau course:</p><p><strong> Data Analytics with Tableau <br /></strong></p><ul><li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul><p><strong>Assessment Process</strong></p><p>Once you have completed all the modules in the Data Analytics with Tableau course, you can assess your skills and knowledge with an optional assignment.</p><p><strong>Certificate of Completion</strong></p><p>The learners have to complete the assessment of this Data Analytics with Tableau course to achieve the <strong>CPDQS accredited certificate</strong>.</p><ul><li><strong>Digital Certificate: £10</strong></li><li><strong>Hard Copy Certificate: £29 (Inside UK)</strong></li><li><strong>Hard Copy Certificate: £39 (for international students)</strong></li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in learning more about the topic is advised to take this Data Analytics with Tableau course. This course is open to everybody.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this course.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this course, you are to start your career or begin the next phase of your career.</p>
                        </div>

 Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! 
Are you looking to improve your current abilities or make a career move? Our unique Data Analytics with Tableau course might help you get there! Expand your expertise with high-quality training - study the Data Analytics with Tableau course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through theonline training course.
The Data Analytics with Tableau course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Data Analytics with Tableau course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course.
This Data Analytics with Tableau training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!
Why Prefer Us? 
Opportunity to earn a certificate accredited by CPDQS.
Get a free student ID card!(£10 postal charge will be applicable for international delivery)
Innovative and Engaging Content.
Free Assessments
24/7 Tutor Support.
Take a step toward a brighter future!
*** Course Curriculum ***
Here is the curriculum breakdown of the Data Analytics with Tableau course:
 Data Analytics with Tableau 

Module 01: Introduction to the Course
Module 02: Project 1: Discount Mart (Sales and Profit Analytics)
Module 03: Project 2: Green Destinations (HR Analytics)
Module 04: Project 3: Superstore (Sales Agent Tracker)
Module 05: Northwind Trade (Shipping Analytics)
Module 06: Project 5: Tesla (Stock Price Analytics)
Module 07: Bonus: Introduction to Database Concepts
Module 08: Tableau Stories
Assessment Process
Once you have completed all the modules in the Data Analytics with Tableau course, you can assess your skills and knowledge with an optional assignment.
Certificate of Completion
The learners have to complete the assessment of this Data Analytics with Tableau course to achieve the CPDQS accredited certificate.
Digital Certificate: £10
Hard Copy Certificate: £29 (Inside UK)
Hard Copy Certificate: £39 (for international students)
 CPD 
150 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone interested in learning more about the topic is advised to take this Data Analytics with Tableau course. This course is open to everybody.
 Requirements 
You will not need any prior background or expertise to enrol in this course.
 Career path 
After completing this course, you are to start your career or begin the next phase of your career.

Tableau Desktop Specialist

Data Analytics with Tableau

<h3><b>Overview</b></h3><p> </p><p><span>With the ever-increasing demand for Tableau in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Tableau may be.</span></p><p> </p><p><span>Learning about Tableau or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Tableau. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Tableau is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</span></p><p> </p><p><span>The self-paced online learning methodology by Compete High in this Diploma in Data Analytics In Tableau course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</span></p><p> </p><p><span>Instead of searching for hours, enrol right away on this Diploma in Data Analytics In Tableau course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</span></p><p> </p><h3><b>Who is this course for?</b></h3><p> </p><p><span>While we refrain from discouraging anyone wanting to do this Diploma in Data Analytics In Tableau course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</span></p><ol><li><span>Anyone looking for the basics of Tableau,</span></li><li><span>Jobseekers in the relevant domains,</span></li><li><span>Anyone with a ground knowledge/intermediate expertise in Tableau,</span></li><li><span>Anyone looking for a certificate of completion on doing an online training on this topic,</span></li><li><span>Students of Tableau, or anyone with an academic knowledge gap to bridge,</span></li><li><span>Anyone with a general interest/curiosity</span></li></ol><p> </p><h3><b>Career Path</b></h3><p> </p><p><span>This Diploma in Data Analytics In Tableau course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. </span></p><p> </p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module 01_ Data Analytics</h4><div><div><ul><li><div>
<span></span><h5>
Data Analytics</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 02_ Why Use Tableau for Data Analytics</h4><div><div><ul><li><div>
<span></span><h5>
Why Use Tableau for Data Analytics</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 03_ Getting Started With Tableau</h4><div><div><ul><li><div>
<span></span><h5>
Getting Started With Tableau</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 04_ Tableau Data Source (TDS)</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Data Source (TDS)</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 05_ Tableau Worksheets</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Worksheets</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 06_ Tableau Calculations</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Calculations</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 07_ Tableau Sort _ Filters</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Sort _ Filters</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 08_ Tableau Charts</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Charts</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module 09_ Tableau Advanced</h4><div><div><ul><li><div>
<span></span><h5>
Tableau Advanced</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

Overview
 
With the ever-increasing demand for Tableau in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Tableau may be.
 
Learning about Tableau or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Tableau. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Tableau is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.
 
The self-paced online learning methodology by Compete High in this Diploma in Data Analytics In Tableau course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!
 
Instead of searching for hours, enrol right away on this Diploma in Data Analytics In Tableau course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.
 
Who is this course for?
 
While we refrain from discouraging anyone wanting to do this Diploma in Data Analytics In Tableau course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:
Anyone looking for the basics of Tableau,
Jobseekers in the relevant domains,
Anyone with a ground knowledge/intermediate expertise in Tableau,
Anyone looking for a certificate of completion on doing an online training on this topic,
Students of Tableau, or anyone with an academic knowledge gap to bridge,
Anyone with a general interest/curiosity
 
Career Path
 
This Diploma in Data Analytics In Tableau course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. 
 

Course Curriculum
Module 01_ Data Analytics
Data Analytics

00:00
Module 02_ Why Use Tableau for Data Analytics
Why Use Tableau for Data Analytics

00:00
Module 03_ Getting Started With Tableau
Getting Started With Tableau

00:00
Module 04_ Tableau Data Source (TDS)
Tableau Data Source (TDS)

00:00
Module 05_ Tableau Worksheets
Tableau Worksheets

00:00
Module 06_ Tableau Calculations
Tableau Calculations

00:00
Module 07_ Tableau Sort _ Filters
Tableau Sort _ Filters

00:00
Module 08_ Tableau Charts
Tableau Charts

00:00
Module 09_ Tableau Advanced
Tableau Advanced

00:00

Diploma in Education & Training (DET)

Tableau

Diploma in Data Analytics In Tableau

<div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Python BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.</strong></p></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PYTHON BOOTCAMP:</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This 12-week Python Boot Camp is a practical, instructor-lead program, covering Python from start to in-depth. You will be fully fluent and confident as a Python programmer.</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">If you have more questions goto&nbsp;<a href="http://pcworkshopslondon.co.uk/contact.html" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="66" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">https://pcworkshopslondon.co.uk/contact.html&nbsp;</a>,</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Or&nbsp;<a href="https://pcworkshopslondon.co.uk/" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="67" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">contact us on training@pcworkshopslondon.co.uk</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><a href="https://pcworkshopslondon.co.uk/contact.htm" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="68" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">C﻿ustomise dates, course outline, arrange installments</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course will give you enough&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">practical experience and practical projects</strong>&nbsp;to code, to give you full confidence to enter into the coding profession. &nbsp;&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration:&nbsp;</strong>3 months:</p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">1 Python class per week,</li><li fr-original-style="" style="box-sizing: border-box;">Plus pratical work,</li><li fr-original-style="" style="box-sizing: border-box;">Plus personal trainer-mentor for 1-1 training,</li><li fr-original-style="" style="box-sizing: border-box;">Plus e-learning materials.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Final project :&nbsp;</strong>Practical to upload to&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">GitHub&nbsp;</strong>and show-case</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Date and times, choose:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fridays in London or Online&nbsp;</strong>, 10am - 5pm,</li><li fr-original-style="" style="box-sizing: border-box;">or&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Saturdays in London or Online&nbsp;</strong>, 12noon-6pm,</li><li fr-original-style="" style="box-sizing: border-box;">o﻿r negotiate your date</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study level:</strong> Start from beginners level to in-depth, ready to work professionally.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Virtual attendance: &nbsp;</strong>online instructor-led&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>: Anaconda.com</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pre-requisites:&nbsp;</strong>General computer literacy.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Oracle Qualification:&nbsp;</strong>PCWorkshops Python Programmer Certificate</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Payments:</strong>&nbsp; You may apply to pay in installments for this Python Training course</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE OUTLINE</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 1 - 4: Essentials</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Coding Basics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Object Oriented programming:&nbsp;</strong>Python Object Orientated programming (OOP)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UX Principles:&nbsp;</strong>UX Principles and applying it on Front-ends with TKinter</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Specialised topics:&nbsp;</strong>Dates, Localization, Strings, Maths Operation , Random Number,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lambdas</strong></li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 5 - 10 : All about data</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Structures:</strong>&nbsp;Lists, Tuples, Sets,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exceptions</strong>, I/O Fundamentals , Reading and Writing file</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database:&nbsp;</strong>Database principles and SQL.&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database Project:&nbsp;</strong>Python database connections and creating a database driven project</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Numpy. Pandas for data analytics and data queries.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data visualisation:&nbsp;</strong>MatPlotLib</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prediction:&nbsp;</strong>Machine Learning Basics</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 11 and 12: The final touch</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Concurrency and Multi-threading:</strong>&nbsp;Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Unit Testing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">O﻿ptional&nbsp;</strong>: Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">I﻿NCLUDED:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">PCWorkshops Python Course Certificate on completion.</li><li fr-original-style="" style="box-sizing: border-box;">Python Course notes.</li><li fr-original-style="" style="box-sizing: border-box;">Practical Course exercises, Code Examples, Online Materials.</li><li fr-original-style="" style="box-sizing: border-box;">After the course, continuous assistance with practical and preparation for exams</li><li fr-original-style="" style="box-sizing: border-box;">Max group size on this is 4.</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: Post your Python project online.</li><li fr-original-style="" style="box-sizing: border-box;">Exam preparation and interview questions</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">MORE ABOUT THE ONLINE CLASSROOM</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Attend from your internet connection</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Instructor-led, get instant answers to your questions</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Fully interactive</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Work clearly explained with demonstrations and examples</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Practical exercises to be tried out by delegate</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">WHAT YOU WILL GAIN:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Skills &amp; knowledge: Python coding knowledge and understanding with good practical application &nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Certification:&nbsp;Internal PCWorkshops Python certificate</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: You will have an online portfolio of Python projects&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Experience:&nbsp;Our comprehensive practical makes you job ready</li></ul></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F444528299%2F44980801875%2F1%2Foriginal.20230212-111230?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=bc03bf9766e6c9ca0436ac60d0be83d6" alt="" data-airgap-id="88" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588336959%2F44980801875%2F1%2Foriginal.20230901-170557?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=e4036ff76e1af36cfba9452461b16c48" alt="" data-airgap-id="87" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337149%2F44980801875%2F1%2Foriginal.20230901-170614?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=cdf1fcea5ad47abc354df67b458d5237" alt="" data-airgap-id="89" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337349%2F44980801875%2F1%2Foriginal.20230901-170630?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=839d02fa3087d55ac858bcbb697972f5" alt="" data-airgap-id="86" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><div style="color: rgb(30, 10, 60); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(30, 10, 60);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Refund Policy</h2></div><div style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">No Refunds</div>

This Python Data Analytics BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.



PYTHON BOOTCAMP:
This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .
You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.
From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards
The course is a practical, instructor-lead program.

If you have more questions goto https://pcworkshopslondon.co.uk/contact.html,
Or contact us on training@pcworkshopslondon.co.uk
C﻿ustomise dates, course outline, arrange installments
This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession. 
Duration: 3 months, 12 weeks:
1 Python class per week,
Plus practical work,
Plus personal trainer-mentor for 1-1 training,
Plus e-learning materials.
Final project : Practical to upload to GitHub and show-case
Date and times, choose:
Fridays in London or Online , 10am - 5pm,
or Saturdays in London or Online , 12noon-6pm,
o﻿r negotiate your date
Study level: Start from beginners level to in-depth, ready to work professionally.
Virtual attendance: online instructor-led 
Download: Anaconda.com
Pre-requisites: General computer literacy.
Oracle Qualification: PCWorkshops Python Programmer Certificate
Payments: You may apply to pay in installments for this Python Training course
COURSE OUTLINE
W﻿eek 1 - 4: Essentials
Python Coding Basics
Object Oriented programming: Python Object Orientated programming (OOP)
UX Principles: UX Principles and applying it on Front-ends with TKinter
Specialised topics: Dates, Localization, Strings, Maths Operation , Random Number, Lambdas
W﻿eek 5 - 10 : All about data
Python Data Structures: Lists, Tuples, Sets, Exceptions, I/O Fundamentals , Reading and Writing file
Database: Database principles and SQL. Database Project: Python database connections and creating a database driven project
Data Analytics: Numpy. Pandas for data analytics and data queries.
Data Analytics: Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.
Data visualisation: MatPlotLib
Prediction: Machine Learning Basics
W﻿eek 11 and 12: The final touch
Python Concurrency and Multi-threading: Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks
Python Unit Testing
O﻿ptional : Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends
I﻿NCLUDED:
PCWorkshops Python Course Certificate on completion.
Python Course notes.
Practical Course exercises, Code Examples, Online Materials.
After the course, continuous assistance with practical and preparation for exams
Max group size on this is 4.
Portfolio: Post your Python project online.
Exam preparation and interview questions
MORE ABOUT THE ONLINE CLASSROOM
Attend from your internet connection
Instructor-led, get instant answers to your questions
Fully interactive
Work clearly explained with demonstrations and examples
Practical exercises to be tried out by delegate
WHAT YOU WILL GAIN:
Skills & knowledge: Python coding knowledge and understanding with good practical application
Certification: Internal PCWorkshops Python certificate
Portfolio: You will have an online portfolio of Python projects
Experience: Our comprehensive practical makes you job ready






Refund Policy
No Refunds

PYTHON BOOTCAMP:



This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .



You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.



From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards



The course is a practical, instructor-lead program.



Python Data Analytics BootCamp, 12-weeks, Online Instructor-led

Python Bootcamp Saturdays, Online

Demand for data analysts, data scientists and data engineers tripled over the past five years, rising 231%. That's much faster than job postings overall in the UK, which grew 36%. Hence, the demand for skilled data analysts has skyrocketed in the UK and worldwide! On average, salaries for these data analysts' roles are £64,376 and keep rising.
With a broader overview of the data analyst's responsibility, data chart, and presentation tools, the bundle describes how to filter, improve and handle data to present various information. You'll learn process management, how to analyse data and how to make vital business decisions. The data analyst bundle will buckle you up to perform simple to complex business analysis tasks effectively and efficiently.
Furthermore, the data analyst course accentuates developing your programming skills for a data analyst, such as Python, SQL, and R. What's more? Besides strengthening Microsoft Excel skills for a data analyst, you can improve your expertise in Tableau, Google Data Studio and business analysis ability from this Data Analyst (Data Analytics) Bundle course. Hence, you can be an efficient data analyst and a competent candidate for a challenging position.
Learning Outcomes of Data Analyst (Data Analytics)
Upon completion of the Data Analyst (Data Analytics) program, you will have acquired:
Acquire a big-picture understanding of the data analyst role
Fundamentals of data analysis (data analysis), including process management, tools for data analysis, various charts
Ability to conduct thorough research and turn raw data into presentable information
Perform many data operations in Python's famous "pandas" library, including grouping, pivoting, joining and more!
Learn about NLP, Machine Learning (ML), data visualisation using Matplotlib, Seaborn and much more
Knowledge of all the essential SQL commands and become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn general cloud computing concepts and gain a solid understanding of the fundamental systems on which the cloud is based
Learn how to use the R programming language for data science, machine learning, and data visualisation
Learn data analytics with Tableau, business intelligence and data mining masterclass, basic Google Data studio
This Data Analyst (Data Analytics) Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Python for Data Analysis
Course 03: SQL Programming Masterclass
Course 04: Data Science & Machine Learning with R
Course 05: Data Analytics with Tableau
Course 06: Basic Google Data Studio
Course 07: Business Intelligence and Data Mining Masterclass
Course 08: Business Analysis Level 3
Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002)
Course 11: GDPR Data Protection Level 5
Course 12: ChatGPT Crash Course
Upon finishing this 12-course Data Analyst (Data Analytics) bundle, you will acquire the necessary skills for a thriving career in this rapidly expanding industry. Waste no more time - enrol today and commence your path towards a promising future!
The Curriculum of the Data Analyst Bundle:
Course 1: Introduction to Data Analysis
Introduction
Agenda and Principles of Process Management
The Voice of the Process
Working as One Team for Improvement
Exercise: The Voice of the Customer
Tools for Data Analysis
The Pareto Chart
The Histogram
The Run Chart
Exercise: Presenting Performance Data
Understanding Variation
The Control Chart
Control Chart Example
Control Chart Special Cases
Interpreting the Control Chart
Control Chart Exercise
Strategies to Deal with Variation
Using Data to Drive Improvement
A Structure for Performance Measurement
Exercise
Course Project
Test your Understanding
Course 2: Python for Data Analysis
Welcome, Course Introduction & overview, and
Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using mat plotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly
and Cufflinks
Capstone Project - Python for Data Analysis &
Visualisation
Python for Machine Learning (ML) - sci-kit-learn - Linear
Regression Model
Python for Machine Learning - scikit-learn - Logistic
Regression Model
Python for Machine Learning - scikit-learn - K Nearest
Neighbours
Python for Machine Learning - scikit-learn - Decision Tree
and Random Forests
Python for Machine Learning - scikit-learn -Support Vector
Machines (SVMs)
Python for Machine Learning - scikit-learn - K Means
Clustering
Python for Machine Learning - scikit-learn - Principal
Component Analysis (PCA)
Recommender Systems with Python - (Additional Topic)
Python for Natural Language Processing (NLP) - NLTK -
(Additional Topic)
Course 3: SQL Programming Masterclass
Introduction
Setting up Course Tools
Browsing & Filtering Data
Filter Data with AND, OR, NOT Operators
Math Operations
String Concatenation
Tidy Up Your Results: Sorting, Alias Names, Limit
Records
NULL, DISTINCT & CASE Statements
Functions in SQL: Multiple-Row Functions
Functions in SQL: Single-Row Functions
Nested Queries
Casting & Data Conversion
Combination Relationships
Joins in SQL
Data Manipulation (DML)
SQL Data Definition Language (DDL)
Course 4: Data Science & Machine Learning with R
Data Science and Machine Learning Course Intro
Data Types and Structures in R
Data Types and Structures in R
Intermediate R
Data Manipulation in R
Data Visualisation in R
Creating Reports with R Markdown
Building WebApps with R Shiny
Introduction to Machine Learning
Starting A Career in Data Science
Course 5: Data Analytics with Tableau
Introduction to the Course
Project 1: Discount Mart (Sales and Profit Analytics)
Project 2: Green Destinations (HR Analytics)
Project 3: Superstore (Sales Agent Tracker)
Northwind Trade (Shipping Analytics)
Project 5: Tesla (Stock Price Analytics)
Bonus: Introduction to Database Concepts
Tableau Stories
Course 6: Basic Google Data Studio
Introduction to GDS
Data Visualisation
Geo-visualisation
A Socio-Economic Case Study
Course 7: Business Intelligence and Data Mining Masterclass
What is Business Intelligence?
Starting Case in understanding BI needs in diff phases
of business
Decision-Making Process and Need for IT Systems
Problem Structure and Decision Support System
Introduction to BI Applications
Dashboard presentation systems
Different Types of Charts used in 131 Dashboards
Good Dashboard and BSC
Examples of Bad Dashboards
Process of KPI Development
Overview of Data Warehouse
More explanation of the data warehouse and steps in
processing
Data Warehouse Architecture -Tiers
Data Warehouse - components
Approach to developing data structure and Models of
database
Basics of Data Mining - Meaning
Basics of Data Mining - Stages of DM
Data Mining Technique - Classification
Data mining - Clustering
Data Mining - Association Rules
Data Mining Applications - Banking
Data Mining Applications - CRM
Data Mining Applications - other industries
Course 8: Business Analysis Level 3
Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis & Management
Process Improvement with Gap Analysis
Documenting & Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 9: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Introduction
Prepaid Expenses Models: Resources Download
Accounting for Prepaid Expenses
Excel Formulas Detailed: Introduction to three Excel
Models
Formula-Based Prepaid Expenses Model
Calculate Prepaid Expenses Amortisation from Exact
Start Date
Prepaid Expenses Summary with Power Query & Pivot
Table
Advanced VBA Prepaid Expenses Amortisation Model
BONUS: Dynamic Dashboard for Divisional Profit &
Loss statements: Easy Way
Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic
Course 10: Cloud Computing CompTIA Cloud+ (CV0-002)
What You Need to Know
Introducing the Cloud
System Requirements for Cloud Deployments
Cloud Storage
Cloud Compute
Cloud Networking
Cloud Security
Migrating to the Cloud
Maintaining Cloud Solutions
Troubleshooting Cloud Solutions
Course 11: GDPR Data Protection
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Course 12: ChatGPT Crash Course
Sign up for an OpenAI Account
What can ChatGPT do for you?
ChatGPT for Business
ChatGPT for Teaching
ChatGPT for Research
Limitations of ChatGPT
Additional Videos
 CPD 
130 CPD hours/points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst (Data Analytics) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this Data Analyst (Data Analytics) bundle course. Students can take this course to gather professional knowledge besides their studies or for the future. 
Aspiring data analysts
Business analyst professionals who want to improve their skills
Anyone who desires to develop their data analysis skills
 
 Career path 
This Data Analyst (Data Analytics) Bundle is ideal for those who want to take their development to the next level and fast-track their career in any of the following roles:
Data Analyst: £30,000 - £50,000
Senior Data Analyst: £50,000 - £70,000
Data Scientist: £70,000 - £100,000
Business Intelligence Manager: £60,000 - £80,000
Machine Learning Engineer: £60,000 - £90,000
 Certificates 
Certificate of Completion
Digital certificate - Included
PDF certificate - Free (Previously, it was £6*12 = £72)
Certificate of Completion
Hard Copy certificate - Included
Hard Copy Certificate - Free (For The Title Course: Previously, it was £10)
Other Hard Copy certificates are available for £10 each
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Google Data Studio

GDPR

Data Mining

Business Intelligence (BI)

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>The world runs on data, and it's those who can decipher its secrets that hold the key to success. Enter the realm of data analytics course. Raw numbers transform into powerful insights, driving informed decisions and shaping the future. Starting a data analytics journey can unlock thrilling possibilities. It doesn't matter whether you're a seasoned professional or a curious newcomer. You'll master statistical models and predictive analytics. You'll also learn data visualization. This will help you transform complex numbers into compelling narratives.<br />The beauty of data analytics lies in its adaptability. You might want a data analytics course certificate for a career boost. Or a deep dive with a data analytics boot camp. Or a master's in data analytics for specialized expertise. The options are endless.<br />The world of data awaits your exploration. You can choose an online master's in data analytics. You can also start an advanced data analytics program. Or join a data analytics course for beginners. Each step unlocks new opportunities. Take the first step. Embrace the world of data. Become a champion of insights, ready to shape the future with the power of analysis.<br />Remember, the data analytics journey is an ongoing adventure. With each new dataset and each mastered skill, you unlock new doors and expand your impact. So, dive in, explore, and become a master decoder of the world's most valuable resource-data.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Learn how to collect, clean, and organize data  </span>
									</li>
								<li>
											<span>
													</span>
										<span>Grasp Analytical Data </span>
									</li>
								<li>
											<span>
													</span>
										<span>Know the basics of Business Data Analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Get an idea of AI data analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Equip yourself with the statistical tools </span>
									</li>
								<li>
											<span>
													</span>
										<span>Delve into the world of predictive analytics</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>High demand across industries</span>
									</li>
								<li>
											<span>
													</span>
										<span>Diverse Career Opportunities</span>
									</li>
								<li>
											<span>
													</span>
										<span>Be able to make an impact on business analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analytics Bootcamp</span>
									</li>
								<li>
											<span>
													</span>
										<span>Certificate in Data Analytics</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>AI data analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business Data Analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Scientist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Statistical Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Quantitative Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Market Research Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Operations Analyst</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Bachelor's degree in  Statistics, Mathematics, or Analytics</span>
									</li>
								<li>
											<span>
													</span>
										<span>Strong analytical and problem-solving skills </span>
									</li>
								<li>
											<span>
													</span>
										<span>Familiarity with database management systems</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong> Module 01: Introduction to the World of Data</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to the World of Data</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Basics of Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Basics of Data Analytics</td><td><span>🕐 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Statistics for Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Statistics for Data Analytics</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Actions Taken in the Data Analysis Process</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Actions Taken in the Data Analysis Process</td><td><span>🕐 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Gathering the Right Information</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Gathering the Right Information</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: Storing Data</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Storing Data</td><td><span>🕐 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 07: Data Mining</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Mining</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 08: Excel for Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Excel for Data Analytics</td><td><span>🕐 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 09: Tools for Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Tools for Data Analytics</td><td><span>🕐 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 10: Data-Analytic Thinking</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data-Analytic Thinking</td><td><span>🕐 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 11: Data Visualisation That Clearly Describes Insights</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Visualisation That Clearly Describes Insights</td><td><span>🕐 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 12: Data Visualisation Tools</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Visualisation Tools</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Assignment</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Boost your advanced analytics skills by choosing our excellent course. We are providing one of the best online data analytics programs!

Data Analytics

<p><span>Embark on a transformative journey into data analytics with our comprehensive course. Discover the power of data &amp; analytics through engaging modules designed to equip you with skills and knowledge. Whether you're a novice or a seasoned professional, this data analytics course is your gateway to unlocking the potential of big data analytics.</span></p>
<p><span>From understanding the basics like what is data analytics and harnessing the power of statistics to mastering data visualisation tools, each step is crafted to empower you with the tools necessary to navigate the world of data analytics confidently.</span></p>
<p><span>With the Google Data Analytics Professional Certificate, you'll gain invaluable insights and practical experience that can catapult you into lucrative data analytics jobs. From enhancing your employability to boosting your earning potential, this course opens doors to a myriad of opportunities in this field.</span></p>
<h4><span>Learning Outcomes:</span></h4>
<ol>
<li><span>Acquire a solid foundation in data analytics principles and techniques.</span></li>
<li><span>Develop proficiency in using various data analytics tools and software.</span></li>
<li><span>Gain skills in data mining, storage, and visualisation.</span></li>
<li><span>Cultivate a data-analytic mindset to tackle complex problems effectively.</span></li>
<li><span>Explore career pathways in data science with confidence and clarity.</span></li>
</ol>
<h3><b>Why buy this Data Analytics Course?</b></h3>
<ol>
<li><span>Unlimited access to the course for a lifetime.</span></li>
<li><span>Opportunity to earn a certificate accredited by the </span><strong><span>CPD Quality Standards</span></strong><span> and </span><strong><span>CIQ </span></strong><span>after completing this course.</span></li>
<li><span>Structured lesson planning in line with industry standards.</span></li>
<li><span>Immerse yourself in innovative and captivating course materials and activities.</span></li>
<li><span>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</span></li>
<li><span>Flexibility to complete the Course at your own pace, on your own schedule.</span></li>
<li><span>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</span></li>
<li><span>Unlock career resources for CV improvement, interview readiness, and job success.</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Data Analytics</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this Data Analytics course for?</b></h3>
<ul>
<li><span>Aspiring data analysts seeking to kickstart their careers.</span></li>
<li><span>Professionals looking to enhance their skillset in this field.</span></li>
<li><span>Students interested in exploring the fascinating world of data science.</span></li>
<li><span>Entrepreneurs aiming to leverage analytics for business growth.</span></li>
<li><span>Individuals seeking to transition into lucrative data analytics jobs.</span></li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Data Analytics</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Data Analytics</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong><span>Data Analyst:</span></strong><span> £25,000 - £50,000 Per Annum</span></li>
<li><strong><span>Data Scientist:</span></strong><span> £30,000 - £70,000 Per Annum</span></li>
<li><strong><span>Business Intelligence Analyst:</span></strong><span> £28,000 - £55,000 Per Annum</span></li>
<li><strong><span>Data Engineer:</span></strong><span> £35,000 - £65,000 Per Annum</span></li>
<li><strong><span>Database Administrator:</span></strong><span> £25,000 - £55,000 Per Annum</span></li>
<li><strong><span>Analytics Manager:</span></strong><span> £40,000 - £80,000 Per Annum</span></li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Statistics for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistics for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Actions Taken in the Data Analysis Process</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Actions Taken in the Data Analysis Process</td>
					<td> </td>
					<td><span><i></i> 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Gathering the Right Information</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gathering the Right Information</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Storing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storing Data</td>
					<td> </td>
					<td><span><i></i> 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Data Mining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Mining</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Tools for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Data-Analytic Thinking</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data-Analytic Thinking</td>
					<td> </td>
					<td><span><i></i> 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Data Visualisation That Clearly Describes Insights</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation That Clearly Describes Insights</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Data Visualisation Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation Tools</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Google Data Analytics

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
								<div>
				<p><span>Register on the Data Analytics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion.</span></p><p><span>The Data Analytics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p><h5><b>What You Get With The Data Analytics </b></h5><ul><li><span>Receive a e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					<div>
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
							
					<div></div>
											<div></div>
														
					</div>
			</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Course Design</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Certification</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
				</div>
				<div>
				<div>
			<h2>Who Is This Course For:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Requirements:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The online training is open to all students and has no formal entry requirements. To study the Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Statistics for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistics for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Actions Taken in the Data Analysis Process</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Actions Taken in the Data Analysis Process</td>
					<td> </td>
					<td><span><i></i> 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Gathering the Right Information</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gathering the Right Information</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Storing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storing Data</td>
					<td> </td>
					<td><span><i></i> 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Data Mining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Mining</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Tools for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Data-Analytic Thinking</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data-Analytic Thinking</td>
					<td> </td>
					<td><span><i></i> 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Data Visualisation That Clearly Describes Insights</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation That Clearly Describes Insights</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Data Visualisation Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation Tools</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

491 Courses

Excel for Data Analytics

By Janets

Data Analytics with Tableau at QLS Level 6

By Academy for Health and Fitness

Retail and Data Analytics

By Janets

Data Analyst (Data Analytics) - CPD Certified

By Training Tale

Data Analyst (Data Analytics) Training

By Academy for Health and Fitness

Data Analyst (Data Analytics) Course

By Training Express

IT and Data Analytics

By Apex Learning

Data Analytics in Practice Course

By Training Express

FinTech and Big Data Analytics Course

By NextGen Learning

Data Analytics, FinTech and Cryptocurrency Course

By Training Express

Search By Location