Name: Computing and Technology Course
Price: 100 GBP
Availability: InStock

<p><strong>24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now!</strong></p><p>Step into the world of digital product management and let us guide you on a journey of discovery. With our Digital Product Management bundle, you'll gain access to a wealth of knowledge that will transform the way you approach digital projects.</p><p>As you explore the courses included in this bundle, you'll find yourself delving deeper into the world of digital marketing, product development, and data analytics. Learn how to create effective marketing strategies, develop products that meet the needs of your audience, and utilise data to make informed decisions.</p><p>With the first course endorsed by the Quality Licence Scheme, you'll receive a QLS hardcopy certificate for free, which will attest to the quality of your training. And with the rest of the CPD-QS accredited courses, you can be sure that you're receiving training of the highest standard.</p><p>Take your digital product management skills to the next level and join the ranks of those who have discovered the power of our Digital Product Management bundle. Whether you're a seasoned professional or just starting out, there's something in this bundle for everyone. Don't wait any longer, unlock your potential today. Enrol right now!</p><p><strong>This </strong><strong>Digital Product Management</strong><strong> Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Digital Product Management at QLS Level 5</li></ul><p><strong>10 Premium Additional CPD QS Accredited Courses -</strong></p><ul><li><strong>Course 01:</strong> Digital Marketing</li><li><strong>Course 02:</strong> Digital Marketing - Growth Hacking Techniques</li><li><strong>Course 03:</strong> Diploma in E-Commerce Management</li><li><strong>Course 04:</strong> Production Manager</li><li><strong>Course 05:</strong> Product Development Training</li><li><strong>Course 06:</strong> Product Management</li><li><strong>Course 07:</strong> Affiliate Marketing Masterclass</li><li><strong>Course 08:</strong> Data Analytics with Tableau</li><li><strong>Course 09:</strong> Business Analytics</li><li><strong>Course 10:</strong> GDPR Training</li></ul><p><strong>Why Prefer This </strong><strong>Digital Product Management</strong><strong> Bundle?</strong></p><ul><li>You will receive a completely free certificate from the Quality Licence Scheme</li><li>Option to purchase 10 additional certificates accredited by CPD</li><li>Get a free Student ID Card - (£10 postal charges will be applicable for international delivery)</li><li>Free assessments and immediate success results</li><li>24/7 Tutor Support</li></ul> <p><strong>After taking this </strong><strong>Digital Product Management</strong><strong> bundle courses, you will be able to learn:</strong></p><ul><li>Master the art of digital marketing and develop effective marketing strategies</li><li>Learn how to create successful products and utilise data to make informed decisions</li><li>Develop skills in affiliate marketing and growth-hacking techniques</li><li>Gain a comprehensive education in product management and e-commerce management</li><li>Learn how to utilise Tableau for data analytics and business analytics</li><li>Develop a deep understanding of GDPR and its impact on businesses</li><li>Receive a QLS hardcopy certificate and CPD-QS accreditation for each course completed</li></ul><p><strong>***Curriculum breakdown of </strong><strong>Digital Product Management Skills Training</strong><strong>***</strong></p><ul><li><strong>Module 01:</strong> Basics of Digital Product Management</li><li><strong>Module 02:</strong> Understanding Market and Customers</li><li><strong>Module 03:</strong> Strategy Development</li><li><strong>Module 04:</strong> Roadmap</li><li><strong>Module 05:</strong> Development Methodologies</li><li><strong>Module 06: </strong>Analytics and Metrics</li><li><strong>Module 07: </strong>Marketing</li><li><strong>Module 08:</strong> Legal Aspects</li></ul><p><strong>How is the Digital Product Management Bundle 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 successfully pass the exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        250 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 looking to expand their skills and become a leader in the digital product management industry</li><li>Marketing professionals looking to develop their skills in digital marketing</li><li>Product development professionals looking to improve their skills in product management and e-commerce management</li><li>Data analysts looking to improve their skills in data analytics and business analytics</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This bundle will help you to develop your knowledge and skills to pursue different career paths, such as:</p><ul><li>Digital Marketing Manager (£25,000 - £70,000)</li><li>Product Manager (£30,000 - £85,000)</li><li>E-Commerce Manager (£25,000 - £75,000)</li><li>Data Analyst (£20,000 - £50,000)</li><li>Business Analyst (£25,000 - £70,000)</li><li>GDPR Officer (£25,000 - £60,000)</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Diploma in Digital Product Management at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>After successfully completing the course, you can order an original hardcopy Certificate of Achievement endorsed by the <strong>Quality Licence Scheme</strong>. This certificate will be delivered to your home, free of charge.</p><p>To obtain the additional Quality Licence Scheme Endorsed Certificate, you will need to pay the corresponding fee based on the level of the courses:</p><ul><li>Level 1: £59</li><li>Level 2: £79</li><li>Level 3: £89</li><li>Level 4: £99</li><li>Level 5: £119</li><li>Level 6: £129</li><li>Level 7: £139</li></ul> </div>
        <h4>CPD QS Accredited Certificate </h4>
        <p>
            Digital certificate -
            £10
        </p>
            <div> <p>Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS and will cost you £10 for each course. Also, the certificates are recognised throughout the UK and internationally.</p> </div>
        <h4>CPD QS Accredited Certificate </h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div> <p>International students are subject to a £10 delivery fee for their orders, based on their location.</p> </div>

                        </div>

Academy for Health and Fitness

Digital Product Management - CPD Certified

General Admission

<strong>In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.</strong>
        <p>Data preparation, data cleaning, data preprocessing (whatever you want to call it) is quite often the most tedious and time-consuming work in the data science/data analysis area. Especially if we are short of time and want to deliver crucial data analysis insights to our audience.

KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool.

In this course, we will learn the efficient ways to import multiple files into KNIME, loops, web scraping, scripting (using Python code in KNIME), hyperparameter optimization, and feature selection. Also, learn basic machine learning workflows and helpful nodes for this in KNIME.

By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code.

All the resources and support files for this course are available at https://github.com/PacktPublishing/Data-science-and-Data-preparation-with-KNIME</p>
        <h2>What You Will Learn</h2><p>Enhance your basic KNIME skills already acquired<br>Increase your productivity and save time in your data preparation tasks<br>Discover what kind of loops are available and how to use them<br>Learn how to use Python in KNIME<br>Learn how to do data science in KNIME with and without coding<br>Learn basic machine learning workflows and helpful nodes</p>
        <h2>Audience</h2><p>This course is designed for aspiring data scientists and data analysts who want to work smarter, faster, and more efficiently. This course is also for anyone who wants to learn how to effectively clean data or encounter various data issues (for example, format) in the past and is looking for a solid solution, and who is familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course. Note: Tableau Desktop and Microsoft Power BI Desktop are optional.</p>
        <h2>Approach</h2><p>This course is practical and consists of a case study where you can and should follow along to solve tasks.</p>
        <h2>Key Features</h2><p>No coding required * Solve a data cleaning example together and enhance your basic KNIME skills * Increase your productivity and save time in your data preparation tasks</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Data-science-and-Data-preparation-with-KNIME</p>
        <h2>About the Author</h2><h3>Dan We</h3><p>Dan We is a 32-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master's degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data in order to deliver long-term growth and outpace their competitors.

He is committed to supporting other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.</p>
        <h2>Course Outline</h2><h4>1. Let's get into it! Data science and Data preparation with KNIME</h4><p></p><br><h4>2. Older videos KNIME version before 4.3</h4><p></p>

Packt

Data Science

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

Data science and Data preparation with KNIME

<p><strong>24 Hours Left! Don't Let Winter Sale Slip Away - Enrol Now!</strong></p><p><strong>With over 100,000 civil engineers in the UK, the demand for data-savvy professionals is high. According to a recent study, 72% of UK civil engineering firms are investing in data analytics to enhance decision-making processes, with data engineering experiencing a 40% year-on-year growth.</strong></p><p>This surge outpaces other tech sectors, highlighting the critical role of data engineers in big data and advanced analytics. This Data Engineering bundle empowers you to capitalise on this growing trend, equipping you with the proficiency to extract valuable insights from vast datasets, optimise project planning, and enhance overall efficiency.</p><p>Embark on a transformative journey with our Data Engineering Bundle, thoroughly crafted to bridge the skill gap in one of the UK's fastest-growing job markets. Our bundle offers a comprehensive exploration into the world of data, equipping you with the analytical prowess to harness, process, and visualise data effectively. From mastering SQL programming to delving into the complexities of machine learning with R, this bundle is your gateway to becoming a data engineering maestro.</p><p>In today's data-driven landscape, possessing a robust set of analytical skills is no longer a luxury but a necessity. With an emphasis on Data engineering, our courses are designed to foster a deep understanding of data analytics, visualisation, and mining, ensuring you can convert raw data into strategic insights that propel business decisions.</p><p>Seize the opportunity to be at the helm of innovation and become the architect of tomorrow's data landscape with our Data Engineering Bundle. Join us now!</p><p><strong>Courses are Included in This Data Engineering Bundle:</strong></p><ul><li><strong> Course 01: </strong>Introduction to Data Analysis</li><li><strong> Course 02: </strong>Data Science &amp; Machine Learning with R</li><li><strong> Course 03: </strong>Data Analytics with Tableau</li><li><strong> Course 04: </strong>SQL Programming Masterclass</li><li><strong> Course 05: </strong>Excel Pivot table for Data analytics</li><li><strong> Course 06: </strong>Data analytics with Excel</li><li><strong> Course 07: </strong>Python for Data Analysis</li><li><strong> Course 08: </strong>Basic Google Data Studio</li><li><strong> Course 09: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 10: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> Course 11: </strong>JavaScript Functions for Data Analyst</li><li><strong> Course 12: </strong>GDPR Data Protection Level 5</li><li><strong> Course 13: </strong>GDPR Training</li><li><strong> Course 14: </strong>Learn Programming with Python</li><li><strong> Course 15: </strong>Data Center Training Essentials: General Introduction</li><li><strong> Course 16: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 17: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 18: </strong>Master JavaScript with Data Visualization</li><li><strong> Course 19: </strong>Excel Data Tools and Data Management</li><li><strong> Course 20: </strong>Cloud Computing Essentials for Data Analysis</li></ul><p><strong>Learning Outcomes of Data Engineering Bundle:</strong></p><ul><li>Gain proficiency in SQL for complex database management and analytics tasks.</li><li>Master R for data science and machine learning applications in various industries.</li><li>Develop advanced Excel skills, including data analytics and pivot table expertise.</li><li>Acquire hands-on experience with Tableau for effective data visualisation.</li><li>Learn Python programming essentials for data analysis and engineering solutions.</li><li>Understand Google Data Studio to create dynamic reports and dashboards.</li></ul><p><strong>Why Choose Our Data Engineering Course?</strong></p><ul><li>FREE Data Engineering certificate accredited</li><li>Get a free student ID card with Data Engineering Training</li><li>Get instant access to this Data Engineering course.</li><li>Learn Data Engineering from anywhere in the world</li><li>The Data Engineering is affordable and simple to understand</li><li>The Data Engineering is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Engineering course materials</li><li>The Data Engineering comes with 24/7 tutor support</li></ul> <p><strong>Start your learning journey straightaway with our Data Engineering Bundle!</strong></p><p>This Data Engineering bundle will equip you with the skills and knowledge to become a data-savvy civil engineer. You will learn how to collect, analyze, and interpret data to improve infrastructure projects and processes. This Data Engineering bundle includes courses on data analysis, data science, machine learning, SQL programming, Excel pivot tables, Excel data analytics, Python for data analysis, Google Data Studio, business intelligence, data mining, GDPR data protection, JavaScript functions for data analysts, and Python programming.</p><p><strong>Assessment Process of Data Engineering</strong></p><p>Once you have completed all the courses in the Data Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        200 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 Engineering bundle is suitable for everyone. Also, our Data Engineering Bundle is perfect for:</p><ul><li>Aspiring data engineers</li><li>Business intelligence analysts</li><li>Data-driven marketers</li><li>IT professionals</li><li>Statistics enthusiasts</li><li>Career changers</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise in the Data Engineering Bundle.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Engineering bundle will allow you to kickstart or take your career to the next stage in the related sector such as:</p><ul><li><strong>Data Analyst</strong></li><li><strong>BI Developer</strong></li><li><strong>ML Engineer</strong></li><li><strong>Data Scientist</strong></li><li><strong>Database Administrator</strong></li><li><strong>Data Strategist</strong></li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

                        </div>

Data Engineering - CPD Certified


Earn up to £40K or Get Your Money Back, Guaranteed!!!
Enter a booming industry of Data Analyst as an entry-level professional and potentially earn an average of £30,000-£40,000 annually, with the chance to swiftly reach six figures with experience and expertise. See yourself thriving in this competitive industry and earning a handsome salary, as our Data Analyst Job Ready Program is here to guide you until you secure your desired job.
Our Data Analyst Job Ready Program is your ONLY solution for learning in-demand skills from the ground up and securing a position in your chosen industry. We understand the hurdles of switching careers, which is why our program is carefully designed to support you from mastering core skills to securing your first job. By choosing our Data Analyst Job Ready Program, you’re not just gaining skills; you’re forming a lifelong career partnership.
Our vision is to be your reliable partner, From Education To Employment!
We don’t just stop at teaching you the technical know-how of how to be a Data Analyst, rather we offer career mentoring and support. We’ll assist you in building your resume, preparing for interviews, and landing your dream job. Our partnerships with numerous companies hiring professionals ensure we can help you find the job you want.
If you’re unsatisfied with our service, we offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and embark on your path to becoming a successful professional!
Why Choose Us?
What distinguishes us from other programs? Explore the exceptional benefits you’ll enjoy when you join our Data Analyst Job Ready Program:
Personalised 1-on-1 Mentorship: Get matched with an experienced guide in your field who will tailor a plan to your specific goals, whether you're a complete beginner or a seasoned professional. Moreover, you get to have 1-on-1 sessions with your designated mentor.
Learn from the Best: Gain exclusive access to consultations with industry veterans. Get insider tips, invaluable insights, and the chance to pick the brains of those who have made it to the top.
Unlock Hidden Opportunities: Our vast network connects you with exciting, high-potential job openings at top companies actively seeking talented individuals like you.
Master the Interview: Years of industry experience inform our comprehensive interview prep resources. Feel confident and prepared to shine when you walk into that interview room.
Guaranteed Success: We're so confident in our program that we offer a risk-free 100% money-back guarantee. Your satisfaction is our ultimate priority.
Here’s the Curriculum of the Data Analyst Job Ready Program:
⇒ Course 01: Introduction to Data Analysis
⇒ Course 02: Excel Data Analysis
⇒ Course 03: Data Analysis and Forecasting in Excel
⇒ Course 04: Top 50 Microsoft Excel Formulas in 50 Minutes!
⇒ Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines
⇒ Course 06: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
⇒ Course 07: Advanced Excel Course (Formula, VLOOKUP & Power Query)
⇒ Course 08: Python Programming: Beginner To Expert
⇒ Course 09: Intermediate Python Coding
⇒ Course 10: Python Advanced Training
⇒ Course 11: PyScript Fundamentals Training
⇒ Course 12: Spatial Data Visualization and Machine Learning in Python Level 4
⇒ Course 13: Data Analytics with Tableau
⇒ Course 14: Master Microsoft Power BI in 90 Minutes!
⇒ Course 15: Data Visualization and Reporting with Power BI
⇒ Course 16: Quick Data Science Approach from Scratch
⇒ Course 17: R Programming for Data Science
⇒ Course 18: Develop Big Data Pipelines with R & Sparklyr & Tableau
⇒ Course 19: Building Big Data Pipelines with PySpark MongoDB and Bokeh
⇒ Course 20: Statistics & Probability for Data Science & Machine Learning
⇒ Course 21: SQL Programming
⇒ Course 22: Microsoft SQL Server Development for Everyone
⇒ Course 23: PHP and MySQL Training Masterclass
⇒ Course 24: SQL NoSQL Big Data and Hadoop
⇒ Course 25: Google Analytics for Everyone
⇒ Course 26: Google Data Studio: Data Analytics
⇒ Course 27: Master JavaScript with Data Visualization
⇒ Course 28: Data Protection and Data Security Level 2
⇒ Course 29: GDPR UK Training
⇒ Course 30: Business Intelligence and Data Mining Masterclass
Here’s How We Can Offer Job Guarantees
Apex Learning offers comprehensive experience in Consulting, Professional Development, and Educational Programs to UK-based companies. Our training programs provide not only valuable industry certifications but also in-demand skills, which are critical to securing their first position in the field.
Enrol now and jumpstart your Data Analyst career. Don’t miss out on this chance to transform your professional journey with the Data Analyst Job Ready Program!

Description
The Data Analyst Job Ready Program: 8 Steps to Your Pathway to Success!
Jumpstart Your Transformation: Enrol in the Data Analyst Program and secure your spot with a safe online payment. Enjoy a 14-day money-back guarantee for peace of mind. Gain lifetime access to premium courses designed to equip you with the essential knowledge and skills to excel. Our dedicated customer service team is here to support you throughout your learning journey.
Craft Your Roadmap: Connect with your dedicated career mentor for a personalised 1-on-1 consultation. Discuss your career goals, current skills, and areas for growth. This conversation will tailor your learning path to your specific needs and maximise your potential.
Earn Your Credentials: Master the material by completing the courses. Demonstrate your knowledge by passing exams with a minimum score of 90%. Earn hardcopy certificates that validate your expertise and impress potential employers.
Get Interview-Ready: Our pros will craft a compelling CV and optimise your LinkedIn profile to showcase your skills effectively. These tailored tools will boost your confidence and prepare you to ace interviews.
Expand Your Network: We'll leverage your enhanced LinkedIn presence to strategically connect you with high-profile individuals and companies in the Data Analyst industry. This approach opens doors to exciting and unadvertised career opportunities.
Master the Interview Process: Gain access to our extensive database of interview questions and participate in mock interviews with your mentor. Refine your responses, develop interview skills, and walk into your interview feeling confident and prepared.
Land Your Dream Job: We'll leverage partnerships with leading companies to secure job interviews for you. This puts you in front of potential employers, giving you a chance to showcase your abilities and land your dream position.
Celebrate & Thrive: Congratulations on landing your dream job as a Data Analyst! Celebrate your achievement and know that our support continues. Because we'll also be providing ongoing career advice to help you flourish in your new role.
We’re thrilled to be part of your journey to success. Enrol today and embark on your path to becoming a successful Data Analyst with our comprehensive Data Analyst Job Ready Program.
Who is this course for?
The Data Analyst Job Ready Program is ideal for:
Data Analysts who are eager to enter this exciting field and secure a job.
Professionals seeking to transition their career towards Data Analyst.
Individuals looking to gain an understanding of Data Analyst tools and techniques.
Those aiming to elevate their career with advanced skills in Data Analyst.
Anyone interested in acquiring job-ready skills in Data Analyst.
Requirements
No experience is required. Just enrol & start learning.
Career path
This Data Analyst Job Ready Program will help you get a job in different roles, such as:
Data Analyst: £25,000 to £40,000 per year.
Business Intelligence Analyst: £30,000 to £50,000 per year.
Data Scientist: £35,000 to £60,000 per year.
Data Engineer: £40,000 to £65,000 per year.
Financial Analyst: £28,000 to £45,000 per year.
Market Research Analyst: £25,000 to £40,000 per year.

Apex Learning

Data Analysis

Data Skills

Data Analyst

Data Processing

Land Your Dream Job! Get Personalised Career Support & Expert Tips, Craft Your CV, Explore Top Jobs & Ace Interviews!

Data Analyst Job Ready Program with Money Back Guarantee

<p><strong>The easy way to store your data and retrieve it when you need it!</strong></p> <p>Database training is vital for success if you want to work in the technology business. Companies are looking for experts who can use databases effectively and have a solid understanding of them. Our course can assist you in developing the skills and information required to flourish in the computer business.</p> <p>This well-designed course can teach you the fundamentals of database design, including creating and managing databases, manipulating data, and developing data-driven applications. You'll gain knowledge of several database types, including relational, object-oriented, distributed, and NoSQL. Along with measures to protect data security, you will learn about database performance and optimisation.</p> <p>Our course is a fantastic method to get started in the profession or obtain expertise for a present position. Many businesses are looking for candidates with good database knowledge and effective usage skills. You may differentiate yourself from the competition by enrolling in a course and gaining the skills and knowledge you need.</p> <p>Along with this Database Course, you will get <strong>11 premium courses, an original hardcopy</strong>, <strong>11 PDF Certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p>So, don't wait up. Enrol now!</p> <p><strong>This Database Bundle Consists of the following Premium courses: </strong> </p> <p><strong>Courses are included in this Database Bundle?</strong></p> <ul> <li><strong> Course 01:</strong> Microsoft SQL Server Development for Everyone</li><li><strong> Course 02:</strong> SQL Programming Masterclass</li><li><strong> Course 03: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong> Course 04: </strong>Python Programming for Everybody</li><li><strong> Course 05: </strong>Data Science with Python</li><li><strong> Course 06:</strong> JavaScript Foundations for Everyone</li><li><strong> Course 07: </strong>C# Programming - Beginner to Advanced</li><li><strong> Course 08: </strong>R Programming for Data Science</li><li><strong> Course 09: </strong>Three.js &amp; WebGL 3D Programming Course for Beginners</li><li><strong> Course 10: </strong>Basic Google Data Studio</li><li><strong> Course 11: </strong>Data Analytics with Tableau</li></ul> <p><strong>Learning Outcomes</strong></p> <ul> <li>Have a fundamental understanding of database design, implementation, and upkeep.</li><li>Be able to query databases and learn the SQL language.</li><li>To preserve data, use security procedures and backup procedures.</li><li>Examine database performance and note any enhancements.</li><li>Be familiar with approaches for database normalisation and optimisation.</li><li>Create web services and database applications.</li><li>Use DBMS software for managing and storing data.</li><li>Identify technologies and trends in databases.</li></ul><p>These 11 courses cover programming and data science topics such as SQL, Python, JavaScript, C#, R, Three.js, WebGL, Google Data Studio, and Tableau. They teach skills in database management, data analysis, manipulation, visualization, and reporting for beginners to advanced learners. The bundle incorporates skills to shed some light on your way and boost your career. Hence, you can strengthen your Database Expertise and essential knowledge, which will assist you in reaching your goal.</p> <p><strong>Certificate:</strong></p> <ul> <li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li></ul> <ul> <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>Individuals interested in learning programming and data science skills</li><li>Professionals seeking to enhance their knowledge and skill set</li><li>Entrepreneurs or business owners wanting to understand and manage data effectively</li><li>Students or graduates in computer science, data science, or related fields</li><li>Anyone looking to start a career in programming or data science</li><li>Data analysts, data scientists, or data engineers looking to expand their skill set</li></ul> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>There is no time limit for completing this course; it can be studied in your own time at your own pace.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>People tend to pursue their careers in the following professions in the database sector</p> <ul> <li>Database Administrator</li><li>Database Developer</li><li>Database Architect</li><li>Database Analyst</li><li>Database Designer</li></ul> <p>The salary range for a Database Professional in the UK is typically between £25,000 and £50,000 per annum.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <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>Microsoft SQL Server Development for Everyone</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p> <p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Database Online Training

<p><strong>Best Price Of The Market</strong></p> <p>Give a compliment to your career and take it to the next level. This<strong> Database Administrator </strong>bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Database Administrator bundle will help you stay ahead of the pack.</p> <p>Throughout the Database Administrator programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p> <p>Along with this Database Administrator 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 Database Administrator Bundle Consists of the following Premium courses: </strong></p> <ul> <li><strong> </strong><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 02: </strong>Data Center Training Essentials: General Introduction</li><li><strong> </strong><strong>Course 03: </strong>Data Analytics with Tableau<strong><br /></strong></li><li><strong> </strong><strong>Course 04: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong> </strong><strong>Course 06: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 07: </strong>Data Analysis in Excel Level 3 Course</li><li><strong> </strong><strong>Course 08: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> </strong><strong>Course 09: </strong>GDPR Data Protection Level 5</li><li><strong> </strong><strong>Course 10: </strong>Level 3 Cyber Security</li><li><strong> </strong><strong>Course 11: </strong>Encryption</li></ul> <p>Enrol now in Database Administrator to advance your career, and use the premium study materials from Apex Learning.</p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the Database Administrator course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong></strong><strong> PDF Certificate: Free (Previously it was </strong> <strong>£</strong><strong>10 * 11 = </strong><strong>£</strong><strong>110)</strong></li><li><strong></strong><strong> Hard Copy Certificate: Free (For The Title Course)</strong></li></ul> <p>PS The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Database Administrator 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>Curriculum of Bundle</strong></p> <p><strong> Course 01: Introduction to Data Analysis</strong></p> <ul> <li>Module 01: Introduction</li><li>Module 02: Agenda and Principles of Process Management</li><li>Module 03: The Voice of the Process</li><li>Module 04: Working as One Team for Improvement</li><li>Module 05: Exercise: The Voice of the Customer</li><li>Module 06: Tools for Data Analysis</li><li>Module 07: The Pareto Chart</li><li>Module 08: The Histogram</li><li>Module 09: The Run Chart</li><li>Module 10: Exercise: Presenting Performance Data</li><li>Module 11: Understanding Variation</li><li>Module 12: The Control Chart</li><li>Module 13: Control Chart Example</li><li>Module 14: Control Chart Special Cases</li><li>Module 15: Interpreting the Control Chart</li><li>Module 16: Control Chart Exercise</li><li>Module 17: Strategies to Deal with Variation</li><li>Module 18: Using Data to Drive Improvement</li><li>Module 19: A Structure for Performance Measurement</li><li>Module 20: Data Analysis Exercise</li><li>Module 21: Course Project</li><li>Module 22: Test your Understanding</li></ul> <p><strong> Course 02: Data Center Training Essentials: General Introduction</strong></p> <ul> <li>Module 01: Data Center Introduction</li><li>Module 02: Data Center Reliability</li><li>Module 03: Data Center Equipment</li><li>Module 04: Data Center White Space</li><li>Module 05: Data Center Support Spaces</li><li>Module 06: Data Center Security, Safety, Networks and IT</li></ul> <p><strong> Course 03: Data Analytics with Tableau</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> Course 04: Basic Google Data Studio</strong></p> <ul> <li>Module 01: Introduction to GDS</li><li>Module 02: Data Visualization</li><li>Module 03: Geo-visualization</li><li>Module 04: A Socio-Economic Case Study</li></ul> <p><strong> Course 05: Complete Google Analytics Course</strong></p> <ul> <li>Module 01: Overview</li><li>Module 02: Navigation and Admin</li><li>Module 03: Creating a New Google Analytics Account</li><li>Module 04: Website Account Creation</li><li>Module 05: Connecting To WordPress Website</li><li>Module 06: Connecting To HTML Site</li><li>Module 07: Connect Custom Page and Site Builders</li><li>Module 08: Setting Up Annotations</li><li>Module 09: Setting Up Intelligence Events</li><li>Module 10: Set Up Custom Segments</li><li>Module 11: Export Data for Analysis</li><li>Module 12: Set Up Custom Reports</li><li>Module 13: Set Up Google Integrations</li><li>Module 14: Google Analytics Templates</li><li>Module 15: Real Time Reporting</li><li>Module 16: Setting Up Goals</li><li>Module 17: Third Party Integrations</li><li>Module 18: Audience Menu Overview</li><li>Module 19: Interests and Geography</li><li>Module 20: Conclusion</li></ul> <p><strong> Course 06: Python for Data Analysis</strong></p> <ul> <li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems with Python - (Additional Topic)</li><li>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul> <p><strong> Course 07: Data Analysis in Excel Level 3 Course</strong></p> <ul> <li>Modifying a Worksheet</li><li>Working with Lists</li><li>Analyzing Data</li><li>Visualizing Data with Charts</li><li>Using PivotTables and PivotCharts</li><li>Working with Multiple Worksheets and Workbooks</li><li>Using Lookup Functions and Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines and Mapping Data</li><li>Forecasting Data</li></ul> <p><strong> Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong></p> <ul> <li>Introduction</li><li>Prepaid Expenses Models: Resources Download</li><li>Accounting for Prepaid Expenses</li><li>Excel Formulas Detailed: Introduction to three Excel Models</li><li>Formula Based Prepaid Expenses Model</li><li>Calculate Prepaid Expenses Amortisation from Exact Start Date</li><li>Prepaid Expenses Summary with Power Query and Pivot Table</li><li>Advanced VBA Prepaid Expenses Amortisation Model</li><li>BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way</li><li>Power Query &amp; Pivot Tables based Dashboard without any Formulas, Fully Dynamic</li><li>Thankyou</li></ul> <p><strong> Course 09: GDPR Data Protection Level 5</strong></p> <ul> <li>Module 01: GDPR Basics</li><li>Module 02: GDPR Explained</li><li>Module 03: Lawful Basis for Preparation</li><li>Module 04: Rights and Breaches</li><li>Module 05: Responsibilities and Obligations</li></ul> <p><strong> Course 10: Level 3 Cyber Security</strong></p> <ul> <li>FUNDAMENTALS OF NETWORKING</li><li>GETTING STARTED WITH CYBER SECURITY</li><li>LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY</li><li>DIVING DEEP INTO CYBER SECURITY</li><li>TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES</li><li>FIREWALLS AND ANTIVIRUS</li><li>KEY SECURITY CONCEPTS</li></ul> <p><strong> Course 11: Encryption</strong></p> <ul> <li>Section 01: Introduction</li><li>Section 02: Basics of Common Encryption</li><li>Section 03: Technical Aspects of Encryption</li><li>Section 04: AES Basic Tech Demo</li><li>Section 05: File and System Encryption</li><li>Section 06: Conclusion</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">
                             <p>Anyone from any background can enrol in this Database Administrator bundle.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>This Database Administrator course has been designed to be fully compatible with tablets and smartphones.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</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>P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p>    </div>

                        </div>

Database Administrator

<p><strong>Package Details:</strong></p><ul><li><strong>Number of Courses: </strong>30 Courses</li><li><strong>Accreditation: </strong>CPD Quality Standards</li><li><strong>Free Certificates:</strong><ul><li>PDF: 30</li><li>Hardcopy: 30 (Delivery Charge Applicable)</li></ul></li><li><strong>Courses Access: </strong>Lifetime</li></ul><p><strong>Instalment Payment Available</strong></p><p><strong>Basic Programming (C, Java, Python, SQL)</strong></p><ul><li><strong>Course 01:</strong> Diploma in Computer Programming</li><li><strong>Course 02:</strong> C# Programming - Beginner to Advanced</li><li><strong>Course 03:</strong> Master JavaScript with Data Visualization</li><li><strong>Course 04:</strong> SQL Programming Masterclass</li><li><strong>Course 05:</strong> Python Programming for Everybody</li><li><strong>Course 06:</strong> Javascript Programming for Beginners</li><li><strong>Course 07:</strong> jQuery: JavaScript and AJAX Coding Bible</li></ul><p><strong>Structural Programming</strong></p><ul><li><strong>Course 01:</strong> Kotlin Programming : Android Coding</li><li><strong>Course 02:</strong> Sensors</li><li><strong>Course 03:</strong> Remote Sensing in ArcGIS</li><li><strong>Course 04:</strong> Linux Shell Scripting</li><li><strong>Course 05:</strong> Bash Scripting, Linux and Shell Programming</li><li><strong>Course 06:</strong> Coding with Scratch</li><li><strong>Course 07:</strong> CSS Coding</li></ul><p><strong>Data Driven Programming</strong></p><ul><li><strong>Course 01:</strong> Quick Data Science Approach from Scratch</li><li><strong>Course 02: </strong>Secure Programming of Web Applications</li><li><strong>Course 03: </strong>A-Frame Web VR Programming</li><li><strong>Course 04: </strong>Complete AutoLISP Programming</li></ul><p><strong>AutoCAD Programming</strong></p><ul><li><strong>Course 01: </strong>AutoCAD Programming using C# with Windows Forms</li><li><strong>Course 02: </strong>AutoCAD Programming using VB.NET with Windows Forms</li></ul><p><strong>Programming for Computer Building</strong></p><ul><li><strong>Course 01: </strong>Building Your Own Computer</li><li><strong>Course 02: </strong>Neuro-linguistic Programming (NLP) Diploma</li></ul><p><strong>Programming for Security</strong></p><ul><li><strong>Course 01: </strong>Cyber Security Incident Handling and Incident Response</li><li><strong>Course 02: </strong>Computer Networks Security</li><li><strong>Course 03: </strong>IT Asset Department</li></ul><p><strong>IT Soft Skills</strong></p><ul><li><strong>Course 01: </strong>Functional Skills IT</li><li><strong>Course 02: </strong>CompTIA Healthcare IT Technician</li><li><strong>Course 03: </strong>Basic Google Data Studio</li><li><strong>Course 04: </strong>Data Analytics with Tableau</li><li><strong>Course 05: </strong>Recovering from a Job Loss in Technology</li></ul><p><strong>Computer Programming Fundamental Course</strong></p><p>This Computer Programming Fundamental bundles' curriculum has been designed by Computer Programming Fundamental experts with years of Computer Programming Fundamental experience behind them. The Computer Programming Fundamental course is extremely dynamic and well-paced to help you understand Computer Programming Fundamental with ease. You'll discover how to master Computer Programming Fundamental skills while exploring relevant and essential topics.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        310 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><strong>Computer Programming Fundamental Course</strong></p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p><strong>Computer Programming Fundamental Course</strong></p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Computer Programming Fundamental Course</strong></p>
                        </div>

Computer Programming Fundamental Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Imagine a world where the vast realms of IT and analytics seem intricate, and the data emanating from every corner feels overwhelming. Now, reimagine a world where you have the power to interpret, analyse, and make that data sing a tune of actionable insights. Welcome to our "IT and Analytics" bundle, where complexity turns into simplicity.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Dive deep into the myriad elements of IT and analytics, encompassing everything from the basics of Google Analytics and Excel Pivot Tables to the advanced nuances of Windows 10 troubleshooting. This comprehensive bundle caters to both beginners and seasoned professionals, offering in-depth theoretical knowledge that is instrumental in the real world. By immersing yourself in these carefully curated courses, you are setting the foundation for deciphering data, understanding IT basics, and recruiting the right IT talent.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The purpose of this bundle is clear: to mould learners into well-rounded professionals with a keen sense for IT and analytics. Whether you&#39;re looking to streamline business processes, bolster your IT department, or simply understand the data-centric world around you, this is your golden ticket. Take the leap and embrace the future of IT and analytics today!</p><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;">Courses Included:</strong></p><ul 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;">Course 1: </strong>Google Analytics for Everyone</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 2: </strong>RCA: Root Cause Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 3: </strong>SQL for Data Science, Data Analytics and Data Visualization</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 4: </strong>Introduction to Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 5: </strong>Excel Pivot Tables</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 6: </strong>CompTIA IT Fundamentals ITF+ (FCO-U61)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 7: </strong>Recruitment: IT Basics for IT Recruiters</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 8: </strong>Advance Windows 10 Troubleshooting for IT HelpDesk</li></ul><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;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals and advanced features of popular IT and analytics platforms.</li><li fr-original-style="" style="box-sizing: border-box;">Gain theoretical insights into root cause analysis and its applications.</li><li fr-original-style="" style="box-sizing: border-box;">Enhance decision-making abilities through data visualisation techniques.</li><li fr-original-style="" style="box-sizing: border-box;">Grasp the essence of IT recruitment and selection of appropriate candidates.</li><li fr-original-style="" style="box-sizing: border-box;">Master troubleshooting methods and strategies for Windows 10.</li><li fr-original-style="" style="box-sizing: border-box;">Build foundational knowledge in IT essentials through the CompTIA IT Fundamentals ITF+ curriculum.</li></ul><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;">Google Analytics for Everyone</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Decode user behaviour and make informed decisions with Google Analytics.</li></ul><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;">RCA: Root Cause Analysis</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Uncover the underlying reasons behind complex issues through structured analysis.</li></ul><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;">SQL for Data Science, Data Analytics and Data Visualization</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Harness the power of SQL for effective data science and visualization.</li></ul><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;">Introduction to Data Analytics with Tableau</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Dive into data storytelling and visualisation with Tableau.</li></ul><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;">Excel Pivot Tables</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Master Excel&#39;s Pivot Tables for dynamic data analysis.</li></ul><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;">CompTIA IT Fundamentals ITF+ (FCO-U61)</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Establish a solid IT foundation with CompTIA IT Fundamentals.</li></ul><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;">Recruitment: IT Basics for IT Recruiters</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Learn the essentials of IT recruitment and talent selection.</li></ul><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;">Advance Windows 10 Troubleshooting for IT HelpDesk</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Elevate your troubleshooting skills for Windows 10 environments.</li></ul><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        80 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring data analysts keen on mastering theoretical aspects of IT and analytics.</li><li fr-original-style="" style="box-sizing: border-box;">IT enthusiasts looking to enhance their knowledge base.</li><li fr-original-style="" style="box-sizing: border-box;">Business professionals aiming to understand IT-related decisions better.</li><li fr-original-style="" style="box-sizing: border-box;">HR and recruitment professionals with a focus on IT hiring.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a passion for data interpretation and the world of IT.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Analyst - &pound;30K to &pound;50K/year.</li><li fr-original-style="" style="box-sizing: border-box;">IT Support Specialist - &pound;25K to &pound;45K/year.</li><li fr-original-style="" style="box-sizing: border-box;">IT Recruiter - &pound;28K to &pound;55K/year.</li><li fr-original-style="" style="box-sizing: border-box;">Database Administrator - &pound;35K to &pound;60K/year.</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst - &pound;32K to &pound;58K/year.</li><li fr-original-style="" style="box-sizing: border-box;">IT Consultant - &pound;40K to &pound;70K/year.</li><li fr-original-style="" style="box-sizing: border-box;">Systems Administrator - &pound;30K to &pound;55K/year.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div 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;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div 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;">Hardcopy Transcript - &pound;9.99</p></div>

                        </div>

NextGen Learning

Computing Skills

Business Analytics & Intelligence

IT Certifications

IT Skills

Computing & IT

Trainers Course

IT and Analytics Courses - 8 Courses Bundle

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Software and Web Development</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong> 33 </strong>course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Software and Web Development</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong>Software and Web Development</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Software and Web Development Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 1: C++ Development: The Complete Coding Guide</li><li>Course 2: Basic C# Coding</li><li>Course 3: Computer Vision: C++ and OpenCV with GPU support</li><li>Course 4: Python Basic Programming for Absolute Beginners</li><li>Course 5: Python Programming for Everybody</li><li>Course 6: Intermediate Python Coding</li><li>Course 7: Level-3 Machine Learning Course with Python</li><li>Course 8: Learn to Use Python for Spatial Analysis in ArcGIS</li><li>Course 9: Higher Order Functions in Python - Level 03</li><li>Course 10: Javascript Programming for Beginners</li><li>Course 11: Basic Asynchronous JavaScript</li><li>Course 12: JavaScript Functions</li><li>Course 13: JavaScript Promises</li><li>Course 14: JavaScript Foundations for Everyone</li><li>Course 15: JavaScript Masterclass: ES6 Modern Development</li><li>Course 16: jQuery Masterclass Course: JavaScript and AJAX Coding Bible</li><li>Course 17: Microsoft SQL Server Development for Everyone</li><li>Course 18: SQL Programming Masterclass</li><li>Course 19: SQL NoSQL Big Data and Hadoop</li><li>Course 20: Introduction to Data Analysis</li><li>Course 21: Data Science with Python</li><li>Course 22: Data Analytics with Tableau</li><li>Course 23: R Programming for Data Science</li><li>Course 24: Complete Google Analytics Course</li><li>Course 25: Quick Data Science Approach from Scratch</li><li>Course 26: Root Cause Analysis</li><li>Course 27: Google Data Studio: Data Analytics</li><li>Course 28: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 29: Business Intelligence and Data Mining Masterclass</li><li>Course 30: Need Another ONE COURSE</li></ul> <p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 1:Career Development Plan Fundamentals</li><li>Course 2:CV Writing and Job Searching</li><li>Course 3:Interview Skills: Ace the Interview</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Software and Web Development</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Software and Web Development Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        330 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>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Software and Web Development bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Software and Web Development</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p> 
                        </div>

Studyhub UK

Learning & Development

Online Course Creation

Computing & Software Development Tools

Professional Skills Course (PSC)

Continuous Professional Development (CPD)

Software and Web Development - CPD Accredited

<p><strong>Ready to unlock the next level of your digital life?</strong> This online bundle course is your ultimate power-up, equipping you with the skills and knowledge to conquer the ever-evolving world of computing and technology.</p><p><strong>Boost your stats:</strong></p><ul><li><strong>Essential IT Skills:</strong> Master basic attacks like troubleshooting and software navigation, building a solid foundation for your digital prowess. </li><li><strong>Advanced Tech Arsenal:</strong> Unlock abilities in cloud computing and data analytics, gaining powerful tools to tackle complex digital challenges. </li><li><strong>Choose Your Specialisation:</strong> Become a data analysis mage, a cyber security warrior, or a web development champion - customise your digital skillset for ultimate mastery.  </li></ul><p><br /><strong>With 15 in-depth courses, this bundle is your ultimate skill tree, empowering you to dominate the digital landscape.</strong><strong>Don't stay a noob - level up your tech skills today!</strong>  </p><p><strong>Course list:</strong></p><ol><li> Essential IT Skills</li><li>IT Administration and Networking</li><li>IT for Beginners</li><li>IT Professional 2.0 Take Your Career To The Next Level</li><li>Start an IT Asset Department</li><li>Principles of Information &amp; Digital Technology</li><li>Cloud Computing / CompTIA Cloud+ (CV0-002)</li><li>Diploma in Data Analytics with Tableau</li><li>Google Data Studio: Data Analytics</li><li>MySQL Database Development</li><li>Microsoft Access Databases Forms and Reports</li><li>Website Hacking From Scratch</li><li>Web Application Penetration Testing</li><li>Create Videos, Motion Graphics and Animation Using Canva</li><li>Computer Science With Python </li></ol><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 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>Individuals with no prior IT experience seeking to enter the tech field</li><li>Professionals looking to enhance their existing IT skillset and knowledge</li><li>Those interested in specialising in areas like data analytics, cyber security, or web development</li><li>Anyone passionate about technology who wants to unlock their digital potential</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>IT Administrator</li><li>Network Administrator</li><li>Data Analyst</li><li>Web Developer</li><li>Cyber Security Analyst</li><li>IT Project Manager</li><li>Software Developer</li><li>Database Administrator</li></ul><p>And many more!</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div><p>A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p></div>

                        </div>

One Education

Computing and Technology Course

<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

Compete High

Tableau Desktop Specialist

Data Engineering

Diploma in Education & Training (DET)

Tableau

Diploma in Data Analytics In Tableau

<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.

Big Data Analytics

Data Analytics with Tableau

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>Overview<p>Identify and configure basic functions of Tableau.     Connect to data sources, import data into Tableau, and save Tableau files     Create views and customize data in visualizations.     Manage, sort, and group data.     Save and share data sources and workbooks.     Filter data in views.     Customize visualizations with annotations, highlights, and advanced features.     Create and enhance dashboards in Tableau.     Create and enhance stories in Tableau</p><p></p><p>As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.</p>  <p>The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. TableauÂ© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.</p><p></p>Prerequisites<p>To ensure your success in this course, you should have experience managing data with MicrosoftÂ© ExcelÂ© or Google Sheets?.</p></div><div id="course-pills-2"><h3>Lesson 1: Tableau Fundamentals</h3><ul>     <li>Topic A: Overview of Tableau</li>    <li>Topic B: Navigate and Configure Tableau</li></ul>  <h3>Lesson 2: Connecting to and Preparing Data</h3><ul>    <li>Topic A: Connect to Data</li>    <li>Topic B: Build a Data Model</li>    <li>Topic C: Save Workbook Files</li>    <li>Topic D: Prepare Data for Analysis</li></ul>  <h3>Lesson 3: Exploring Data</h3><ul>    <li>Topic A: Create Views</li>    <li>Topic B: Customize Data in Visualizations</li></ul>  <h3>Lesson 4: Managing, Sorting, and Grouping Data</h3><ul>    <li>Topic A: Adjust Fields</li>    <li>Topic B: Sort Data</li>    <li>Topic C: Group Data</li></ul>  <h3>Lesson 5: Saving, Publishing, and Sharing Data</h3><ul>    <li>Topic A: Save Data Sources</li>    <li>Topic B: Publish Data Sources and Visualizations</li>    <li>Topic C: Share Workbooks for Collaboration</li></ul>  <h3>Lesson 6: Filtering Data</h3><ul>    <li>Topic A: Configure Worksheet Filters</li>    <li>Topic B: Apply Advanced Filter Options</li>    <li>Topic C: Create Interactive Filters</li></ul>  <h3>Lesson 7: Customizing Visualizations</h3><ul>    <li>Topic A: Format and Annotate Views</li>    <li>Topic B: Emphasize Data in Visualizations</li>    <li>Topic C: Create Animated Workbooks</li>    <li>Topic D: Best Practices for Visual Design</li></ul>  <h3>Lesson 8: Creating Dashboards in Tableau</h3><ul>    <li>Topic A: Create Dashboards</li>    <li>Topic B: Enhance Dashboards with Actions</li>    <li>Topic C: Create Mobile Dashboards</li></ul>  <h3>Lesson 9: Creating Stories in Tableau</h3><ul>    <li>Topic A: Create Stories</li>    <li>Topic B: Enhance Stories with Tooltips</li></ul></div>

Nexus Human

Excel Analytics

Data Visualization

Data Studio

Tableau Desktop - Part 1

<strong>Do you want to learn Tableau and crack the Tableau Certified Data Analyst Exam? Then this course is for you!

This course is designed for absolute beginners, and it is well equipped with detailed video tutorials, exam notes PDF, tips and tricks, and full practice tests in exam format along with solutions.</strong>
        <p>This course is designed considering the fact that you are an absolute beginner, and you will be taught even the most basic concepts in Tableau from scratch so that after completing this course, you will be able to create rich visualizations easily and confidently.

It will help you prepare for and clear your Tableau Certified Data Analyst Exam. In this course, you will find practice tests designed keeping the current exam format in mind; you will find similar kinds of questions in the exam. We will also show you how to solve the questions in a faster way and all the detailed solutions are provided for the hands-on questions.

This course starts with the basic concepts of Tableau to refresh your knowledge. Then, you will look at field and chart types, and how to organize and simplify data. You will then move on to execute calculations, mapping, and analytics. After that, dashboards and data connections will be covered.

Finally, you will be looking at some practice tests to reinforce your learning. The data analyst topics covered include data connections, organizing and simplifying data, field and chart types, calculations, mapping, analytics, and dashboards.

By the end of this course, you will be able to create rich visualizations easily and confidently, and you will be ready to ace your Tableau Certified Data Analyst Exam.

All the resource files are uploaded on the GitHub repository at: https://github.com/PacktPublishing/Learn-Tableau-Certified-Data-Analyst-Exam</p>
        <h2>What You Will Learn</h2><p>Learn basic concepts of Tableau to refresh your knowledge<br>Look at field and chart types along with organizing and simplifying data<br>Execute calculations, mapping, and analytics<br>Use dashboards and data connection<br>Manipulate string, date and arithmetic calculations, logic statements<br>Connect to spatial files and look at forecasting, trend lines, and model</p>
        <h2>Audience</h2><p>This course is ideal for anyone who wants to learn Tableau and an experienced individual working on Tableau can benefit from this course in order to pass the Tableau Certified Data Analyst Exam.<br>An individual with an attitude of willingness to learn is the basic requirement. Working knowledge of Tableau is a plus but not mandatory.</p>
        <h2>Approach</h2><p>A comprehensive hands-on guide with real-time exam-oriented examples. The exam pattern and structure are mapped explicitly with the actual exam so that the customer is accustomed to the exam. Practice tests with their solutions are also added in the later part of the course.</p>
        <h2>Key Features</h2><p>Learn Tableau from scratch to ace the Tableau Certified Data Analyst Exam * Study guide PDF and quizzes provided to revise and reinforce the concepts learned * Discover a dedicated section for the practice tests and their solutions</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Learn-Tableau-Certified-Data-Analyst-Exam</p>
        <h2>About the Author</h2><h3>Vivek P.</h3><p>Vivek P. is a Tableau Certified Associate with more than 12 years of IT experience with different technologies. He is enthusiastic about working with technology and strongly believes in hands-on learning. His teaching methodology is also driven by this belief.</p>
        <h2>Course Outline</h2><h4>1. Getting started with Tableau</h4><p></p><br><h4>2. Field & Chart Types</h4><p></p><br><h4>3. Organizing & Simplifying Data</h4><p></p><br><h4>4. Calculations</h4><p></p><br><h4>5. Mapping</h4><p></p><br><h4>6. Analytics</h4><p></p><br><h4>7. Dashboards</h4><p></p><br><h4>8. Data Connections</h4><p></p><br><h4>9. Exam Tips and Tricks</h4><p></p><br><h4>10. Practice Test 1</h4><p></p>

Do you want to learn Tableau and crack the Tableau Certified Data Analyst Exam? Then this course is for you!

This course is designed for absolute beginners, and it is well equipped with detailed video tutorials, exam notes PDF, tips and tricks, and full practice tests in exam format along with solutions.

Learn Tableau and Ace the Tableau Certified Data Analyst Exam

<strong>This course is designed for absolute beginners and explains even the most basic concepts in Tableau from scratch. By completing this course, you will be able to create rich visualizations easily and confidently and have the knowledge required to crack the Tableau Desktop Specialist Exam.</strong>
        <p>Do you want to learn Tableau and crack the Tableau Desktop Specialist Exam? Then this course is for you.

This course is designed considering that you are an absolute beginner; you will learn even the most fundamental concepts in Tableau so that after completing this course, you can create rich visualizations easily and confidently.

It will help you prepare for and clear your Tableau Desktop Specialist exam. In this course, you will find practice tests that are designed by keeping the current exam format in mind; you will find similar kinds of questions in the exam. We will also show you how to solve the questions faster and all the detailed solutions are provided for the hands-on questions.

In this course, we will cover the following Specialist topic areas: the four exam domains-Connecting to and Preparing Data, Exploring and Analyzing Data, Sharing Insights, and Understanding Tableau Concepts.

By the end of this course, you will be well-prepared for your Tableau Desktop Specialist Exam. All the best!

All the resources and practice tests for this course are available at:  https://github.com/PacktPublishing/Learn-Tableau-and-Ace-the-Tableau-Desktop-Specialist-Exam</p>
        <h2>What You Will Learn</h2><p>Learn Tableau concepts, create basic charts and histograms in Tableau<br>Combine data from various sources using Join, Blend, and Union<br>Optimize the data you use with Extracts and live connections<br>Discover ways to group data using hierarchies, groups, and sets<br>Improve your visualizations by adding reference and trend lines<br>Filter, sort, and apply table calculations to data in Tableau</p>
        <h2>Audience</h2><p>This course acts as preparatory material for the Tableau Desktop Specialist exam. No prior knowledge of Tableau is required for this course. It is also helpful for anyone who wants to learn how to visualize data using Tableau.<br><br>The course is updated with content changes as per the V2020.3 Tableau Desktop Specialist Exam.</p>
        <h2>Approach</h2><p>This course provides you with all the material required to ace the Tableau Specialist exam. Everything in a single course-detailed video tutorials, exam notes PDF, tips and tricks, quizzes, practice tests in exam format along with solutions.<br><br>The course has a dedicated section for exam tips and tricks.</p>
        <h2>Key Features</h2><p>Create stunning visualizations and build dashboards that help you easily access and compare data * Showcase information by providing context and narratives using the story feature * Real exam-like questions for practice with a detailed explanation of hands-on questions</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Learn-Tableau-and-Ace-the-Tableau-Desktop-Specialist-Exam</p>
        <h2>About the Author</h2><h3>Vivek P.</h3><p>Vivek P. is a Tableau Certified Associate with more than 12 years of IT experience with different technologies. He is enthusiastic about working with technology and strongly believes in hands-on learning. His teaching methodology is also driven by this belief.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Understanding Tableau Concepts</h4><p></p><br><h4>3. Exploring and Analyzing data</h4><p></p><br><h4>4. Sharing Insights</h4><p></p><br><h4>5. Connecting to & Preparing Data</h4><p></p><br><h4>6. Hands-On Quiz to test the Tableau knowledge</h4><p></p>

This course is designed for absolute beginners and explains even the most basic concepts in Tableau from scratch. By completing this course, you will be able to create rich visualizations easily and confidently and have the knowledge required to crack the Tableau Desktop Specialist Exam.

Learn Tableau and Ace the Tableau Desktop Specialist Exam

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam.</p>Overview<p>Blend data multiple sources.     Join data.     Access data in PDFs.     Refine visualizations with sets and parameters.     Analyze data with calculations.     Visualize data with advanced calculations.     Perform statistical analysis and forecasting.     Create geographic visualizations.     Get answers with Ask and Explain</p><p></p><p>The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage.</p>  <p>Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. TableauÂ© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients.</p><p></p>Prerequisites<p>Tableau Desktop: Part 1</p></div><div id="course-pills-2"><h3>Lesson 1: Blending Data from Multiple Sources</h3><ul>  <li>Topic A: Blend Data</li>  <li>Topic B: Refine Blends to Visualize Key Information</li> </ul>  <h3>Lesson 2: Joining Data</h3><ul>  <li>Topic A: Create Joins</li>  <li>Topic B: Troubleshoot Joins</li>  <li>Topic C: Merge Data with Unions</li></ul>  <h3>Lesson 3: Accessing Data in PDFs</h3><ul>  <li>Topic A: Connect to PDFs</li>  <li>Topic B: Clean Up and Organize PDF Data</li> </ul>  <h3>Lesson 4: Refining Visualizations with Sets and Parameters</h3><ul>  <li>Topic A: Create Sets</li>  <li>Topic B: Analyze Data with Sets</li>  <li>Topic C: Apply Parameters to Refine Visualizations</li>  <li>Topic D: Create Advanced Visualizations</li> </ul>  <h3>Lesson 5: Analyzing Data with Calculations</h3><ul>  <li>Topic A: Create Calculated Fields to Analyze Data</li>  <li>Topic B: Manipulate Data with Functions</li>  <li>Topic C: Analyze Data with Table Calculations</li> </ul>  <h3>Lesson 6: Visualizing Data with Advanced Calculations</h3><ul>  <li>Topic A: Create Groups and Bins with Calculations</li>  <li>Topic B: Analyze Data with LOD Expressions</li> </ul>  <h3>Lesson 7: Performing Statistical Analysis and Forecasting</h3><ul>  <li>Topic A: Perform Statistical Analysis</li>  <li>Topic B: Forecast Data Trends</li> </ul>  <h3>Lesson 8: Creating Geographic Visualizations</h3><ul>  <li>Topic A: Create Maps</li>  <li>Topic B: Customize Mapped Data</li> </ul>  <h3>Lesson 9: Getting Answers with Ask and Explain</h3><ul>  <li>Topic A: Ask Data</li>  <li>Topic B: Explain Data</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Tableau Desktop - Part 2 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Tableau Desktop - Part 2 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Tableau Desktop - Part 2

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports.</p>Overview<p>Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis</p><p>As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. TableauÂ© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings.</p>Prerequisites<p>To ensure your success in this course, you should have experience managing data with MicrosoftÂ© ExcelÂ© or Google Sheets?</p></div><div id="course-pills-2"><h3> Lesson 1: Exploring Tableau Reports</h3><ul> <li>Topic A: Data Analysis Workflow with Tableau</li> <li>Topic B: Explore Views</li> <li>Topic C: Edit Workbooks</li></ul>  <h3> Lesson 2: Analyzing Data to Get Answers and Insights</h3><ul> <li>Topic A: Configure Marks with the Marks Card</li> <li>Topic B: Ask New Questions by Changing Aggregation</li> <li>Topic C: Find Answers with Calculations</li> <li>Topic D: Answer Questions with Table Calculations</li></ul>  <h3> Lesson 3: Sorting and Grouping Data for Analysis and Reporting</h3><ul> <li>Topic A: Sort Data</li> <li>Topic B: Group Data</li></ul>  <h3> Lesson 4: Filtering Views</h3><ul> <li>Topic A: Filter Data to Refine Analysis</li> <li>Topic B: Create Interactive Filters for Reports</li></ul>  <h3> Lesson 5: Preparing Reports</h3><ul> <li>Topic A: Format and Annotate Views to Tell Your Story</li> <li>Topic B: Emphasize Data in Reports</li> <li>Topic C: Animate Visualizations for Clarity</li></ul>  <h3>Lesson 6: Troubleshooting, Sharing, and Collaborating</h3><ul> <li>Topic A: Troubleshoot Data Issues</li> <li>Topic B: Collaborate in Tableau Online </li><li>Topic C: Collaborate with Non-Tableau Users</li></ul></div>

Tableau for Data-Driven Decision Makers

<strong>This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.</strong>
        <p>Are you interested in data analytics and (self-service BI) business intelligence? Are you already using Tableau or plan to use it soon?

You might have already seen Tableau as a visual analytics tool in action. You might have created Tableau dashboards yourself. But as you know, the result of visualizing your data is only the tip of the iceberg. As data analysts spend a huge amount of their time cleaning and preparing data, this process is quite tedious. However, it is most important to get the data cleaned and in the right format.

Meet Tableau Prep Builder! A great tool that can help us in doing data preparation/data cleaning fast and efficiently.

In this Tableau Prep Builder course, you will learn all you need to know to use the power of Tableau Prep Builder for your own data cleaning tasks. The course is developed for beginners. Hence, no prior knowledge is required even though working with Tableau before would be an advantage.

This course will first explore the Tableau Prep Builder interface and then perform three case studies to understand how to use Tableau Prep Builder for data cleaning and data preparation. 

By the end of this course, you will be able to use the power of Tableau Prep Builder for data cleaning.

All the resources for this course are available at  https://github.com/PacktPublishing/Tableau-Prep-Builder-for-Beginners-Getting-Started</p>
        <h2>What You Will Learn</h2><p>Learn the fundamentals of Tableau Prep Builder<br>Learn how to get started with Tableau Prep Builder<br>Perform data cleaning with Tableau Prep Builder<br>Learn how to deal with multiple excel files<br>Work with multiple CSV files as a case study<br>Use transaction case study for data enrichment</p>
        <h2>Audience</h2><p>This course is for all Tableau users who need to do data cleaning. Aspiring data analysts or data scientists or report creators can also benefit from this course.<br><br>This course is a crash course for beginners; hence, we start from scratch so no specific knowledge is required but you should be familiar with Tableau. Tableau Prep builder 14-day Trial version could be used in case you do not have a license (yet).</p>
        <h2>Approach</h2><p>This is a practical course and consists of a case study where you can and should follow along to solve tasks.</p>
        <h2>Key Features</h2><p>Learn new ways to easily prepare data by only clicking or drag and drop with Tableau * Use different case studies to understand the power of Tableau Prep Builder * Perform data preparation and data cleaning with Tableau Prep Builder</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Tableau-Prep-Builder-for-beginners</p>
        <h2>About the Author</h2><h3>Dan We</h3><p>Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3).
He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors.

He has a passion for learning and teaching. He is committed to supporting other people by offering them educational services and helping them accomplish their goals, gain expertise in their profession, or explore new careers.</p>
        <h2>Course Outline</h2><h4>1. Tableau Prep Builder - let's get started</h4><p></p>

This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.

Tableau Prep Builder for Beginners - Getting Started

Let's build sophisticated visualizations and dashboards using Sankey diagrams and geospatial, sunburst, and circular charts and animate your visualizations. We will also cover advanced Tableau topics, such as Tableau parameters and use cases and Level of Detail (LOD) expressions, spatial functions, advanced filters, and table calculations.

Ultimate Tableau Desktop Course - Beginner to Advanced Bundle

<strong>Learn how to combine the three most important tools in data science: Python, SQL, and Tableau</strong>
        <p>Python, SQL, and Tableau are three of the most widely used tools in the world of data science. Python is the leading programming language
SQL is the most widely used means for communication with database systems
Tableau is the preferred solution for data visualization;

The course starts off by introducing software integration as a concept. We discuss some important terms such as servers, clients, requests, and responses. Moreover, you will learn about data connectivity, APIs, and endpoints. Then we continue by introducing the real-life example exercise the course is centred around: the Absenteeism at Work dataset. The preprocessing part that follows will give you a taste of what BI and data science look like in real-life, on-the-job situations. Then we continue by applying some Machine Learning to our data. You will learn how to explore the problem at hand from a machine-learning perspective, how to create targets, what kind of statistical preprocessing is necessary for this part of the exercise, how to train a Machine Learning model, and how to test it-a truly comprehensive ML exercise. Connecting Python and SQL is not immediate; we show how that's done in an entire section of the course.

By the end of that section, you will be able to transfer data from Jupyter to Workbench. And finally, as promised, Tableau will allow us to visualize the data we have been working with. We will prepare several insightful charts and will interpret the results together.

All the code files are placed at https://github.com/PacktPublishing/Python-SQL-Tableau-Integrating-Python-SQL-and-Tableau</p>
        <h2>What You Will Learn</h2><p>Create a module of the ML model for later use<br>Connect Python and SQL to transfer data from Jupyter to Workbench<br>Visualize data in Tableau<br>Analyze and interpret exercise outputs in Jupyter and Tableau</p>
        <h2>Audience</h2><p>This course is for anyone looking for a career in Business Intelligence and Data Science. Data scientists who are eagerly looking to break into the field and learn the necessary essentials of Data Science and software engineers who are interested in building intelligent applications driven by Python and Machine Learning will also benefit from this course.</p>
        <h2>Approach</h2><p>This course is designed so that each section covers a new scenario and uses a step-by-step approach to help you learn and understand each concept.</p>
        <h2>Key Features</h2><p>How to use Python, SQL, and Tableau together * Software integration * Data preprocessing techniques * Apply machine learning</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-sql-tableau-integrating-python-sql-and-tableau</p>
        <h2>About the Author</h2><h3>365 Careers Ltd.</h3><p>365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section will give you a brief introduction about the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): What Does the Course Cover?</p><p style='margin: 0'>Introduction: What Does the Course Cover?</p></td></tr></tbody></table><br><h4>2. What is software integration?</h4><p>This section will help you to understand about software integration?.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): Properties and Definitions: Data, Servers, Clients, Requests and Responses</p><p style='margin: 0'>What is software integration?: Properties and Definitions: Data, Servers, Clients, Requests and Responses</p></td></tr><tr><td style='padding: 15px;'><p>2. (Free Preview): Properties and Definitions: Data Connectivity, APIs, and Endpoints</p><p style='margin: 0'>What is software integration?: Properties and Definitions: Data Connectivity, APIs, and Endpoints</p></td></tr><tr><td style='padding: 15px;'><p>3. Further Details on APIs</p><p style='margin: 0'>What is software integration?: Further Details on APIs</p></td></tr><tr><td style='padding: 15px;'><p>4. (Free Preview): Text Files as Means of Communication</p><p style='margin: 0'>What is software integration?: Text Files as Means of Communication</p></td></tr><tr><td style='padding: 15px;'><p>5. Definitions and Applications</p><p style='margin: 0'>What is software integration?: Definitions and Applications</p></td></tr></tbody></table><br><h4>3. Setting up the working environment</h4><p>This section will help you set up the working environment.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting Up the Environment - An Introduction (Do Not Skip, Please)!</p><p style='margin: 0'>Setting up the working environment: Setting Up the Environment - An Introduction (Do Not Skip, Please)!</p></td></tr><tr><td style='padding: 15px;'><p>2. Why Python and why Jupyter?</p><p style='margin: 0'>Setting up the working environment: Why Python and why Jupyter?</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Anaconda</p><p style='margin: 0'>Setting up the working environment: Installing Anaconda</p></td></tr><tr><td style='padding: 15px;'><p>4. The Jupyter Dashboard - Part 1</p><p style='margin: 0'>Setting up the working environment: The Jupyter Dashboard - Part 1</p></td></tr><tr><td style='padding: 15px;'><p>5. The Jupyter Dashboard - Part 2</p><p style='margin: 0'>Setting up the working environment: The Jupyter Dashboard - Part 2</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing sklearn</p><p style='margin: 0'>Setting up the working environment: Installing sklearn</p></td></tr></tbody></table><br><h4>4. What's next in the course?</h4><p>This section will help you understand what this course is all about.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Up Ahead</p><p style='margin: 0'>What's next in the course?: Up Ahead</p></td></tr><tr><td style='padding: 15px;'><p>2. Real-Life Example: Absenteeism at Work</p><p style='margin: 0'>What's next in the course?: Real-Life Example: Absenteeism at Work</p></td></tr><tr><td style='padding: 15px;'><p>3. Real-Life Example: The Dataset</p><p style='margin: 0'>What's next in the course?: Real-Life Example: The Dataset</p></td></tr></tbody></table><br><h4>5. Preprocessing</h4><p>In this section, we'll learn about Preprocessing.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Sets in Python</p><p style='margin: 0'>Preprocessing: Data Sets in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Data at a Glance</p><p style='margin: 0'>Preprocessing: Data at a Glance</p></td></tr><tr><td style='padding: 15px;'><p>3. A Note on Our Usage of Terms with Multiple Meanings</p><p style='margin: 0'>Preprocessing: A Note on Our Usage of Terms with Multiple Meanings</p></td></tr><tr><td style='padding: 15px;'><p>4. Picking the Appropriate Approach for the Task at Hand</p><p style='margin: 0'>Preprocessing: Picking the Appropriate Approach for the Task at Hand</p></td></tr><tr><td style='padding: 15px;'><p>5. Removing Irrelevant Data</p><p style='margin: 0'>Preprocessing: Removing Irrelevant Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Examining the Reasons for Absence</p><p style='margin: 0'>Preprocessing: Examining the Reasons for Absence</p></td></tr><tr><td style='padding: 15px;'><p>7. Splitting a Column into Multiple Dummies</p><p style='margin: 0'>Preprocessing: Splitting a Column into Multiple Dummies</p></td></tr><tr><td style='padding: 15px;'><p>8. Dummy Variables and Their Statistical Importance</p><p style='margin: 0'>Preprocessing: Dummy Variables and Their Statistical Importance</p></td></tr><tr><td style='padding: 15px;'><p>9. Grouping - Transforming Dummy Variables into Categorical Variables</p><p style='margin: 0'>Preprocessing: Grouping - Transforming Dummy Variables into Categorical Variables</p></td></tr><tr><td style='padding: 15px;'><p>10. Concatenating Columns in Python</p><p style='margin: 0'>Preprocessing: Concatenating Columns in Python</p></td></tr><tr><td style='padding: 15px;'><p>11. Changing Column Order in Pandas DataFrame</p><p style='margin: 0'>Preprocessing: Changing Column Order in Pandas DataFrame</p></td></tr><tr><td style='padding: 15px;'><p>12. Implementing Checkpoints in Coding</p><p style='margin: 0'>Preprocessing: Implementing Checkpoints in Coding</p></td></tr><tr><td style='padding: 15px;'><p>13. Exploring the Initial "Date" Column</p><p style='margin: 0'>Preprocessing: Exploring the Initial "Date" Column</p></td></tr><tr><td style='padding: 15px;'><p>14. Using the "Date" Column to Extract the Appropriate Month Value</p><p style='margin: 0'>Preprocessing: Using the "Date" Column to Extract the Appropriate Month Value</p></td></tr><tr><td style='padding: 15px;'><p>15. Introducing "Day of the Week"</p><p style='margin: 0'>Preprocessing: Introducing "Day of the Week"</p></td></tr><tr><td style='padding: 15px;'><p>16. Further Analysis of the DataFrame: Next 5 Columns</p><p style='margin: 0'>Preprocessing: Further Analysis of the DataFrame: Next 5 Columns</p></td></tr><tr><td style='padding: 15px;'><p>17. Further Analysis of the DaraFrame: "Education", "Children", "Pets"</p><p style='margin: 0'>Preprocessing: Further Analysis of the DaraFrame: "Education", "Children", "Pets"</p></td></tr><tr><td style='padding: 15px;'><p>18. A Final Note on Preprocessing</p><p style='margin: 0'>Preprocessing: A Final Note on Preprocessing</p></td></tr></tbody></table><br><h4>6. Machine Learning</h4><p>In this section, we'll learn about Machine Learning.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. (Free Preview): Exploring the Problem from a Machine Learning Point of View</p><p style='margin: 0'>Machine Learning: Exploring the Problem from a Machine Learning Point of View</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating the Targets for the Logistic Regression</p><p style='margin: 0'>Machine Learning: Creating the Targets for the Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>3. Selecting the Inputs</p><p style='margin: 0'>Machine Learning: Selecting the Inputs</p></td></tr><tr><td style='padding: 15px;'><p>4. A Bit of Statistical Preprocessing</p><p style='margin: 0'>Machine Learning: A Bit of Statistical Preprocessing</p></td></tr><tr><td style='padding: 15px;'><p>5. Train-test Split of the Data</p><p style='margin: 0'>Machine Learning: Train-test Split of the Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Training the Model and Assessing its Accuracy</p><p style='margin: 0'>Machine Learning: Training the Model and Assessing its Accuracy</p></td></tr><tr><td style='padding: 15px;'><p>7. Extracting the Intercept and Coefficients from a Logistic Regression</p><p style='margin: 0'>Machine Learning: Extracting the Intercept and Coefficients from a Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>8. Interpreting the Logistic Regression Coefficients</p><p style='margin: 0'>Machine Learning: Interpreting the Logistic Regression Coefficients</p></td></tr><tr><td style='padding: 15px;'><p>9. Omitting the dummy variables from the Standardization</p><p style='margin: 0'>Machine Learning: Omitting the dummy variables from the Standardization</p></td></tr><tr><td style='padding: 15px;'><p>10. Interpreting the Important Predictors</p><p style='margin: 0'>Machine Learning: Interpreting the Important Predictors</p></td></tr><tr><td style='padding: 15px;'><p>11. Simplifying the Model (Backward Elimination)</p><p style='margin: 0'>Machine Learning: Simplifying the Model (Backward Elimination)</p></td></tr><tr><td style='padding: 15px;'><p>12. Testing the Machine Learning Model</p><p style='margin: 0'>Machine Learning: Testing the Machine Learning Model</p></td></tr><tr><td style='padding: 15px;'><p>13. How to Save the Machine Learning Model and Prepare it for Future Deployment</p><p style='margin: 0'>Machine Learning: How to Save the Machine Learning Model and Prepare it for Future Deployment</p></td></tr><tr><td style='padding: 15px;'><p>14. Creating a Module for Later Use of the Model</p><p style='margin: 0'>Machine Learning: Creating a Module for Later Use of the Model</p></td></tr></tbody></table><br><h4>7. Installing MySQL and Getting Acquainted with the Interface</h4><p>In this section, we'll Install MySQL and get Acquainted with the Interface.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Installing MySQL</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Installing MySQL</p></td></tr><tr><td style='padding: 15px;'><p>2. Setting Up a Connection</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Setting Up a Connection</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to the MySQL Interface</p><p style='margin: 0'>Installing MySQL and Getting Acquainted with the Interface: Introduction to the MySQL Interface</p></td></tr></tbody></table><br><h4>8. Connecting Python and SQL</h4><p>This section will help you to connect Python and SQL.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Implementing the 'absenteeism_module' - Part I</p><p style='margin: 0'>Connecting Python and SQL: Implementing the 'absenteeism_module' - Part I</p></td></tr><tr><td style='padding: 15px;'><p>2. Implementing the 'absenteeism_module' - Part II</p><p style='margin: 0'>Connecting Python and SQL: Implementing the 'absenteeism_module' - Part II</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a Database in MySQL</p><p style='margin: 0'>Connecting Python and SQL: Creating a Database in MySQL</p></td></tr><tr><td style='padding: 15px;'><p>4. Importing and Installing 'pymysql'</p><p style='margin: 0'>Connecting Python and SQL: Importing and Installing 'pymysql'</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating a Connection and Cursor</p><p style='margin: 0'>Connecting Python and SQL: Creating a Connection and Cursor</p></td></tr><tr><td style='padding: 15px;'><p>6. Creating the 'predicted_outputs' table in MySQL</p><p style='margin: 0'>Connecting Python and SQL: Creating the 'predicted_outputs' table in MySQL</p></td></tr><tr><td style='padding: 15px;'><p>7. Running an SQL SELECT Statement from Python</p><p style='margin: 0'>Connecting Python and SQL: Running an SQL SELECT Statement from Python</p></td></tr><tr><td style='padding: 15px;'><p>8. Transferring Data from Jupyter to Workbench - Part I</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part I</p></td></tr><tr><td style='padding: 15px;'><p>9. Transferring Data from Jupyter to Workbench - Part II</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part II</p></td></tr><tr><td style='padding: 15px;'><p>10. Transferring Data from Jupyter to Workbench - Part III</p><p style='margin: 0'>Connecting Python and SQL: Transferring Data from Jupyter to Workbench - Part III</p></td></tr></tbody></table><br><h4>9. Analyzing the Obtained data in Tableau</h4><p>In this section, we'll analyze the Obtained data.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Analysis in Tableau: Age vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Age vs Probability</p></td></tr><tr><td style='padding: 15px;'><p>2. Analysis in Tableau: Reasons vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Reasons vs Probability</p></td></tr><tr><td style='padding: 15px;'><p>3. Analysis in Tableau: Transportation Expense vs Probability</p><p style='margin: 0'>Analyzing the Obtained data in Tableau: Analysis in Tableau: Transportation Expense vs Probability</p></td></tr></tbody></table>

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