Name: Cloud Computing for Beginners - Database Technologies and Infrastructure as a Service
Price: 202.99 GBP
Availability: InStock

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

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: The Realm of Statistics</td>
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					<td>The Realm Of Statistics</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
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					<td colspan="4">Module 02: Basic Statistical Terms</td>
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					<td>Basic Statistical Terms</td>
					<td> </td>
					<td><span><i></i> 00:43:00</span></td>
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					<td colspan="4">Module 03: The Center of the Data</td>
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					<td>The Center of the Data</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Module 04: Data Variability</td>
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					<td>Data Variability</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
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					<td colspan="4">Module 05: Binomial and Normal Distributions</td>
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					<td>Binomial and Normal Distributions</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
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					<td>Binomial Probabilities Table</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
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					<td>Z-Table</td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td colspan="4">Module 06: Introduction to Probability</td>
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					<td>Introduction to Probability</td>
					<td> </td>
					<td><span><i></i> 00:37:00</span></td>
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					<td colspan="4">Module 07: Estimates and Intervals</td>
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					<td>Estimates and Intervals</td>
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					<td><span><i></i> 00:36:00</span></td>
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					<td colspan="4">Module 08: Hypothesis Testing</td>
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					<td>Hypothesis Testing</td>
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					<td><span><i></i> 00:33:00</span></td>
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					<td colspan="4">Module 09: Regression Analysis</td>
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					<td>Regression Analysis</td>
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					<td><span><i></i> 00:11:00</span></td>
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					<td colspan="4">Module 10: Algorithms, Analytics and Predictions</td>
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					<td>Algorithms, Analytics and Prediction</td>
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					<td><span><i></i> 00:49:00</span></td>
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					<td colspan="4">Module 11: Learning From Experience: The Bayesian Way</td>
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					<td>Learning From Experience: The Bayesian Way</td>
					<td> </td>
					<td><span><i></i> 00:33:00</span></td>
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					<td colspan="4">Module 12: Doing Statistics: The Wrong Way</td>
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					<td>Doing Statistics: The Wrong Way</td>
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					<td><span><i></i> 00:39:00</span></td>
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					<td colspan="4">Module 13: How We Can Do Statistics Better</td>
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					<td>How We Can Do Statistics Better</td>
					<td> </td>
					<td><span><i></i> 00:43:00</span></td>
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					<td colspan="4">Assignment</td>
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					<td>Assignment - Statistical Analysis</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
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				</tbody></table></div>

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

Janets

Online Course Marketing

Online Course Creation

Statistical Computing

Statistical Analysis

General Admission

<strong>Start your journey in the cloud computing revolution-what, why, and how!</strong>
        <p>Cloud computing is becoming mainstream in the IT world as a growing number of companies around the globe are in the throes of a digital transformation by using the power of cloud-based services.

Evolution leading to Revolution - traditional IT already uses a variety of virtualization technologies to better utilize physical IT resources. Moving to private clouds is another step in the data center evolution, where existing infrastructures will be utilized and upgraded to provide cloud-based services. Also, public cloud services are gaining huge market momentum as more and more companies migrate their applications to third-party cloud providers. Public clouds are now taking companies to new business frontiers.

Basic Skills for Everyone - cloud computing and cloud services touch almost everyone, whether you are a software developer, IT professional, system administrator, IT manager, solution architect, project manager, marketing manager, product manager, sales engineer, security expert, network expert, students entering the IT world, and so on.

Level 1 - we need to start with something so this is the first course in a larger training program (Getting Started with Cloud Computing) dedicated to the important subject of cloud computing. The training program is divided into several levels, enabling students to start from scratch and grow their knowledge step-by-step, or maybe select a specific level according to their knowledge and experience.

All the code files are placed at https://github.com/PacktPublishing/Getting-Started-with-Cloud-Computing---Level-1</p>
        <h2>What You Will Learn</h2><p>Gain a fundamental understanding of what cloud computing is<br>The evolution from traditional IT to cloud services<br>Learn 5 basic characteristics of cloud computing<br>Understand 3 main service models: SaaS, PaaS, and IaaS<br>Study 4 cloud deployment models: private, public, hybrid, community<br>Understand the key benefits of public cloud services</p>
        <h2>Audience</h2><p>This course is for IT Professionals who are keen to gain a strong understanding of Cloud Computing and want to enhance their service models and deployment models. Cloud administrators, software developers, product/project/marketing managers, and security professionals will hugely benefit from this course.</p>
        <h2>Approach</h2><p>This exhaustive course is packed with step-by-step instructions, practical examples, and helpful advice.</p>
        <h2>Key Features</h2><p>No specific background is required to take this course * The content is well organized and easy to follow for beginners * This course will spark your interest in cloud computing so you can continue to explore the topic in multiple directions</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/getting-started-with-cloud-computing---level-1</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Getting Started</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>Getting Started: Course Introduction</p></td></tr></tbody></table><br><h4>2. Traffic Load Balancing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>The Evolution into the Cloud Revolution: Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Traditional IT - Plan, Buy and Operate the Data Center</p><p style='margin: 0'>The Evolution into the Cloud Revolution: Traditional IT - Plan, Buy and Operate the Data Center</p></td></tr><tr><td style='padding: 15px;'><p>3. The First Wave started with SaaS</p><p style='margin: 0'>The Evolution into the Cloud Revolution: The First Wave started with SaaS</p></td></tr><tr><td style='padding: 15px;'><p>4. The Digital Transformation</p><p style='margin: 0'>The Evolution into the Cloud Revolution: The Digital Transformation</p></td></tr><tr><td style='padding: 15px;'><p>5. The Birth of Hyper-scale Public Data Centers</p><p style='margin: 0'>The Evolution into the Cloud Revolution: The Birth of Hyper-scale Public Data Centers</p></td></tr><tr><td style='padding: 15px;'><p>6. A Catalyst for Innovation</p><p style='margin: 0'>The Evolution into the Cloud Revolution: A Catalyst for Innovation</p></td></tr><tr><td style='padding: 15px;'><p>7. The Rise of Artificial Intelligence</p><p style='margin: 0'>The Evolution into the Cloud Revolution: The Rise of Artificial Intelligence</p></td></tr></tbody></table><br><h4>3. The Five Characteristics of Cloud Computing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>The Five Characteristics of Cloud Computing: Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. #1 - On Demand Self-Service</p><p style='margin: 0'>The Five Characteristics of Cloud Computing: #1 - On Demand Self-Service</p></td></tr><tr><td style='padding: 15px;'><p>3. #2 - Broad Network Access</p><p style='margin: 0'>The Five Characteristics of Cloud Computing: #2 - Broad Network Access</p></td></tr><tr><td style='padding: 15px;'><p>4. #3 - Resource Pooling</p><p style='margin: 0'>The Five Characteristics of Cloud Computing: #3 - Resource Pooling</p></td></tr><tr><td style='padding: 15px;'><p>5. #4 - Rapid Elasticity</p><p style='margin: 0'>The Five Characteristics of Cloud Computing: #4 - Rapid Elasticity</p></td></tr><tr><td style='padding: 15px;'><p>6. #5 - Measured Service</p><p style='margin: 0'>The Five Characteristics of Cloud Computing: #5 - Measured Service</p></td></tr></tbody></table><br><h4>4. Cloud Service Models</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>Cloud Service Models: Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. The Cloud Computing Stack</p><p style='margin: 0'>Cloud Service Models: The Cloud Computing Stack</p></td></tr><tr><td style='padding: 15px;'><p>3. IaaS - Infrastructure as a Service</p><p style='margin: 0'>Cloud Service Models: IaaS - Infrastructure as a Service</p></td></tr><tr><td style='padding: 15px;'><p>4. PaaS - Platform as a Service</p><p style='margin: 0'>Cloud Service Models: PaaS - Platform as a Service</p></td></tr><tr><td style='padding: 15px;'><p>5. SaaS - Software as a Service</p><p style='margin: 0'>Cloud Service Models: SaaS - Software as a Service</p></td></tr></tbody></table><br><h4>5. Cloud Deployment Models</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>Cloud Deployment Models: Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Public Cloud - Definition</p><p style='margin: 0'>Cloud Deployment Models: Public Cloud - Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Public Cloud - Global Infrastructure</p><p style='margin: 0'>Cloud Deployment Models: Public Cloud - Global Infrastructure</p></td></tr><tr><td style='padding: 15px;'><p>4. Public Cloud - Products and Services</p><p style='margin: 0'>Cloud Deployment Models: Public Cloud - Products and Services</p></td></tr><tr><td style='padding: 15px;'><p>5. Private Cloud - Definition</p><p style='margin: 0'>Cloud Deployment Models: Private Cloud - Definition</p></td></tr><tr><td style='padding: 15px;'><p>6. Private Cloud - Key Benefits</p><p style='margin: 0'>Cloud Deployment Models: Private Cloud - Key Benefits</p></td></tr><tr><td style='padding: 15px;'><p>7. Hybrid Cloud</p><p style='margin: 0'>Cloud Deployment Models: Hybrid Cloud</p></td></tr><tr><td style='padding: 15px;'><p>8. Community Cloud</p><p style='margin: 0'>Cloud Deployment Models: Community Cloud</p></td></tr><tr><td style='padding: 15px;'><p>9. Cloud Computing Management Platforms</p><p style='margin: 0'>Cloud Deployment Models: Cloud Computing Management Platforms</p></td></tr></tbody></table><br><h4>6. So, why using a Public Cloud Service?</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>So, why using a Public Cloud Service?: Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. #1 - Easy and Dynamic Scalability</p><p style='margin: 0'>So, why using a Public Cloud Service?: #1 - Easy and Dynamic Scalability</p></td></tr><tr><td style='padding: 15px;'><p>3. #2 - Economies of Scale</p><p style='margin: 0'>So, why using a Public Cloud Service?: #2 - Economies of Scale</p></td></tr><tr><td style='padding: 15px;'><p>4. #3 - Capital and Operational Costs</p><p style='margin: 0'>So, why using a Public Cloud Service?: #3 - Capital and Operational Costs</p></td></tr><tr><td style='padding: 15px;'><p>5. #4 - Increased Reliability</p><p style='margin: 0'>So, why using a Public Cloud Service?: #4 - Increased Reliability</p></td></tr><tr><td style='padding: 15px;'><p>6. #5 - Business Agility and Speed</p><p style='margin: 0'>So, why using a Public Cloud Service?: #5 - Business Agility and Speed</p></td></tr><tr><td style='padding: 15px;'><p>7. #6 - Yes, Security</p><p style='margin: 0'>So, why using a Public Cloud Service?: #6 - Yes, Security</p></td></tr><tr><td style='padding: 15px;'><p>8. Public Cloud Demo - Microsoft Azure - IaaS</p><p style='margin: 0'>So, why using a Public Cloud Service?: Public Cloud Demo - Microsoft Azure - IaaS</p></td></tr></tbody></table><br><h4>7. Course Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Quick Recap</p><p style='margin: 0'>Course Summary: Quick Recap</p></td></tr></tbody></table>

Packt

Cloud Computing

Start your journey in the cloud computing revolution-what, why, and how!

Getting Started with Cloud Computing - Level 1

Kali Linux

HTML

Python

Security

This course is designed to help you understand the basic and advanced concepts of ethical hacking with ease. The course features interesting examples and coding activities in each video to keep you engaged and guides you effectively through writing programs to hack a system.

Learn Python and Ethical Hacking from Scratch

<strong>From downloading and installing to creating beautiful dashboards, this course takes you through all the essential concepts of the MicroStrategy Desktop application. You will learn to import data from Excel and transform this data into appealing charts, filters, and graphs that are easy to understand. </strong>
        <p>MicroStrategy is one of the leading and fastest-growing business intelligence tools. With the help of this course, you will get started with MicroStrategy and learn how to create attractive visualizations.

The course starts with an introduction to MicroStrategy, covering the basics and the installation process. Next, you will learn in detail how to create tables, column charts, bar charts, pie charts, donut charts, and maps with MicroStrategy. Once you are familiar with creating visualizations, you will learn how to format the assets that you have created. You will also cover formatting shortcuts along the way. Moving ahead, you will become familiar with sorting, filtering from visuals, grouping, and learn how to filter export data. Later, you will learn to use MicroStrategy to create advanced charts and get an overview of text, number, and date filters. Finally, you will learn about the process of creating beautiful dashboards.

By the end of this course, you will have developed skills to transform data into visually appealing tables, charts, and reports using MicroStrategy.

All the code files and resources for this course can be found here: https://github.com/PacktPublishing/MicroStrategy-Desktop-2020 </p>
        <h2>What You Will Learn</h2><p>Download and install MicroStrategy Desktop application<br>Create basic and advanced visuals in MicroStrategy<br>Work with sorting, filtering, export, and formatting Sort, filter, format, and export data<br>Find out how to get data from multiple data sources Discover techniques to work with text, number, and date filters<br>Create different dashboards in the dossier for presentations</p>
        <h2>Audience</h2><p>Whether you are new to business intelligence tools or an experienced professional who is interested in learning MicroStrategy to transform data into appealing visualizations, this course is for you. Data science enthusiasts will also find this course useful. A basic understanding of pivot tables and charts in Excel will be beneficial but is not mandatory. </p>
        <h2>Approach</h2><p>This course focuses on building your MicroStrategy skills with the help of interesting activities and exercises. You will start from the basics and gradually move towards advanced topics that will help you to create appealing visualizations using the features of MicroStrategy in no time.</p>
        <h2>Key Features</h2><p>Become familiar with the MicroStrategy Desktop application * Get insights into data imported from different data sources and take faster decisions * Get ready to create appealing visualizations quickly and easily</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/MicroStrategy-Desktop-2020 </p>
        <h2>About the Author</h2><h3>Pavan Lalwani</h3><p>Pavan Lalwani is a highly skilled and self-motivated trainer who has expertise in various business intelligence tools, such as Power BI, Tableau, and Microsoft Excel. He has 10 years of experience in training individuals in different industry sectors, such as banking, finance, healthcare, IT, automobile, manufacturing, and pharmaceutical. His major clients include Mercedes-Benz, Loreal, IBM, L&T, Wipro, Bajaj Finance, ITC, DHL, Deutsche Bank, Yes Bank, Mahindra, Morgan Stanley, and Deloitte, among others that are spread across the globe.

He believes in providing end-to-end solutions through his training videos and is himself responsible for designing the course content, quizzes, online training, clarifying doubts, and any additional help required.</p>
        <h2>Course Outline</h2><h4>1. Introduction to MicroStrategy</h4><p></p><br><h4>2. Creating Visualizations in MicroStrategy</h4><p></p><br><h4>3. Formatting in MicroStrategy</h4><p></p><br><h4>4. Miscellaneous Topics in MicroStrategy</h4><p></p><br><h4>5. Miscellaneous Topics in MicroStrategy</h4><p></p><br><h4>6. Filters in MicroStrategy</h4><p></p><br><h4>7. Dashboards in MicroStrategy</h4><p></p>

From downloading and installing to creating beautiful dashboards, this course takes you through all the essential concepts of the MicroStrategy Desktop application. You will learn to import data from Excel and transform this data into appealing charts, filters, and graphs that are easy to understand.

MicroStrategy Desktop 2020

<div>
	<blockquote><p>Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!</p></blockquote>
<h3><strong>Description: </strong></h3>
<p><span>Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. </span><span>In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations.</span></p>
<h3><strong>Who is the course for?</strong></h3>
<ul>
<li><span>Employees of the business industry and other businessmen who want to learn how to utilise and create their database.</span></li>
<li><span>Anyone who wants to surf the net safely.</span></li>
<li><span>People who have an interest in setting up their database and learn to become an expert on it.</span></li>
</ul>
<h3><b>Entry Requirement:</b></h3>
<ul>
<li><span>This course is available to all learners, of all academic backgrounds. </span></li>
<li><span>Learners should be aged 16 or over to undertake the qualification.</span></li>
<li><span>Good understanding of English language, numeracy and ICT are required to attend this course.</span></li>
</ul>
<h3><strong>Assessment:</strong></h3>
<ul>
<li>At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.</li>
<li>Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.</li>
</ul>
<h3><strong>Certification:</strong></h3>
<ul>
<li>After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24.</li>
<li>PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days.</li>
</ul>
<h3><strong>Why choose us?</strong></h3>
<ul>
<li>Affordable, engaging &amp; high-quality e-learning study materials;</li>
<li>Tutorial videos/materials from the industry leading experts;</li>
<li>Study in a user-friendly, advanced online learning platform;</li>
<li>Efficient exam systems for the assessment and instant result;</li>
<li>The UK &amp; internationally recognised accredited qualification;</li>
<li>Access to course content on mobile, tablet or desktop from anywhere anytime;</li>
<li>The benefit of career advancement opportunities;</li>
<li>24/7 student support via email.</li>
</ul>
<h3><b>Career Path:</b></h3>
<p><span>The Data Bundle Course will be very beneficial and helpful, especially to the following careers:</span></p>
<ul>
<li><span>Businessman</span></li>
<li><span>Product Creators</span></li>
<li><span>Programmers</span></li>
<li><span>Sales Managers</span></li>
<li><span>Top Executives</span></li>
<li><span>Website Developer</span></li>
<li><span>Data protection associate</span></li>
<li><span>Legal counsellor</span></li>
<li><span>Head of data protection</span></li>
<li><span>Commercial solicitor</span></li>
<li><span>Data privacy solicitor.</span></li>
</ul>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">Module 1: Database Basics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is a Database</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Definition of Terms</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database Users and Languages</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Components of a Database System</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic Set Concepts</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relations as a Database</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relational Database Operators</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database keys</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 2: Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 3: Data Protection</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Internet Marketers Need More Protection</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>You Can't Be Anonymous</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Start With Basic Security Measures</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Disclaimers</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Proper Use Of Email</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Product Rights</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Your Website</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Terms Of Use Or Service</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Privacy Policy</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Refer A Friend</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Refer A Friend</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam- Data Bundle Course</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam- Data Bundle Course</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

John Academy

Data Protection

Big Data Analytics

Data Skills

Data Security

Big Data

Data Bundle Course

JavaScript

Postman

Web Development

Flask

A complete practical React and Python Flask full-stack web development Bootcamp with JavaScript, React, Python, Flask, API, Git, and VS Code. Basic software development knowledge and basic programming skills are required.

Full Stack Web Development Bootcamp with React and Python

<p>Dive into the world of numbers and patterns with our '<strong>Statistical Analysis Course</strong>,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Gain a solid understanding of statistics and its significance in various fields.</li>
<li>Learn to describe and utilise basic statistical terminology and methods.</li>
<li>Comprehend and calculate measures of central tendency and data dispersion.</li>
<li>Develop skills in probability, distribution analysis, and statistical inference.</li>
<li>Apply statistical methods correctly and appreciate the Bayesian approach for learning from data.</li>
</ul>
<h3><b>Why choose this Statistical Analysis Course?</b></h3>
<ul>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b><b> </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the <b>Statistical Analysis Course</b> Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
</ul>
<h3><b>Who is this Statistical Analysis Course</b><b><span> </span></b><b>for?</b></h3>
<ul>
<li>Aspiring data analysts seeking a foundation in statistics.</li>
<li>Business professionals who require analytical skills for data-driven decision-making.</li>
<li>Students of the social sciences, economics, or any field involving data interpretation.</li>
<li>Researchers needing a robust grasp of statistical analysis methods.</li>
<li>Anyone interested in understanding how to utilise data for predictions and analytics.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Analyst</strong> - £25,000 to £40,000</li>
<li><strong>Market Research Analyst</strong> - £23,000 to £35,000</li>
<li><strong>Quantitative Analyst</strong> - £35,000 to £70,000</li>
<li><strong>Statistical Researcher</strong> - £27,000 to £45,000</li>
<li><strong>Business Intelligence Analyst</strong> - £30,000 to £55,000</li>
<li><strong>Econometrician</strong> - £30,000 to £60,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Statistical Analysis Course</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Statistical Analysis Course</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: The Realm of Statistics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Realm Of Statistics</td>
					<td> </td>
					<td><span><i></i> 00:26:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basic Statistical Terms</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic Statistical Terms</td>
					<td> </td>
					<td><span><i></i> 00:41:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: The Center of the Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Center of the Data</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Data Variability</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Variability</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Binomial and Normal Distributions</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Binomial and Normal Distributions</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Binomial Probabilities Table</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Z-Table</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Introduction to Probability</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Probability</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Estimates and Intervals</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Estimates and Intervals</td>
					<td> </td>
					<td><span><i></i> 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Hypothesis Testing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Hypothesis Testing</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Regression Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Algorithms, Analytics and Predictions</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Algorithms, Analytics and Prediction</td>
					<td> </td>
					<td><span><i></i> 00:47:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Learning From Experience: The Bayesian Way</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Learning From Experience: The Bayesian Way</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Doing Statistics: The Wrong Way</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Doing Statistics: The Wrong Way</td>
					<td> </td>
					<td><span><i></i> 00:37:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 13: How We Can Do Statistics Better</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How We Can Do Statistics Better</td>
					<td> </td>
					<td><span><i></i> 00:41:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Statistical Analysis Course</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Data Science

Data Analysis

Biostatistics

Trainers Course

Statistical Analysis Course

<div>
									<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h2>Overview</h2>		</div>
				</div>
				<div>
				<div>
							<p><span>ChatGPT for Marketing and Productivity with AI Tools Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this ChatGPT for Marketing and Productivity with AI Tools Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</span></p><p><span>Consisting of several modules, the course teaches you everything you need to succeed in this profession.</span></p><p><span>The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</span></p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h3><b>Why Choose Teachers Training</b></h3>		</div>
				</div>
				<div>
				<div>
			<p>Some of our website features are:</p>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>This is a dedicated website for teaching</span>
									</li>
								<li>
											<span>
													</span>
										<span>24/7 tutor support</span>
									</li>
								<li>
											<span>
													</span>
										<span>Interactive Content</span>
									</li>
								<li>
											<span>
													</span>
										<span>Affordable price</span>
									</li>
								<li>
											<span>
													</span>
										<span>Courses accredited by the UK's top awarding bodies</span>
									</li>
								<li>
											<span>
													</span>
										<span>100% online </span>
									</li>
								<li>
											<span>
													</span>
										<span>Flexible deadline</span>
									</li>
						</ul>
				</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h3><b> Entry Requirements
</b></h3>		</div>
				</div>
				<div>
				<div>
			<p>No formal entry requirements. You need to have:</p>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Passion for learning</span>
									</li>
								<li>
											<span>
													</span>
										<span>A good understanding of the English language</span>
									</li>
								<li>
											<span>
													</span>
										<span>Be motivated and hard-working</span>
									</li>
								<li>
											<span>
													</span>
										<span>Over the age of 16.</span>
									</li>
						</ul>
				</div>
				</div>
					</div>
		</div>
							</div>
		</section>
				<section>
						<div>
					<div>
			<div>
								<div>
				<div>
			<h3><b>Certification</b></h3>		</div>
				</div>
				<div>
				<div>
							<p><b>CPD Certification from The Teachers Training</b></p><p><span>After you have successfully completed your assignment, you will be qualified to apply for a CPD Certification from The Teachers Training. The PDF certificate can be downloaded after you have completed your course.</span></p><ul><li><p>You can get your digital certificate (PDF) for £4.99 only</p></li><li><p>Hard copy certificates are also available, and you can get one for only £10.99</p></li><li><p>You can get both PDF and Hard copy certificates for just £12.99!</p></li></ul><p><span>The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</span></p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
							</div><table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: The AI Marketing Playbook</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 01: Start an Account with ChatGPT</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 02: What the Company OpenAI Say About Itself</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 03: What OpenAI Say About The Limitations of the Chatbot</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 04: Chatbot Prompt Examples Given By Open AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 05: Will Chat GPT Be a Paid Application</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 06: Chat GPT Idea Generation</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 07: Chat GPT - Idea Qualification and Accuracy</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 08: ChatGPT - Accuracy and Citations</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 09: Chat GPT - Creating HTML Instances</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 10: Chat GPT - How to Solve Specific Business Problems</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 11: Chat GPT - Statistical Verification of Information</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 12: Chat GPT - Rewrite Content for Different Contexts</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 13: ChatGPT - Content Checked With AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 14: ChatGPT - Simplifying Information</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 15: ChatGPT - How to Ask the Chatbot about Context</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 16: ChatGPT - How to Cross-Post Queries</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 17: ChatGPT - How to Narrow Down the Context of Your Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 18: ChatGPT - How to Solve a Business Process</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 19: ChatGPT - Developing a Methodology From Experts</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 20: The Future of ChatGPT</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 02: How to Use ChatGPT and AI for Marketing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 01: Autonous AI Agents</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 02: Connecting to Open AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 03: Getting an OpenAI Key</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 04: Agent GPT - Autonomous AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 05: GoalGPT - Autonomous Agents</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 06: Cognosis - Autonomous AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 07: Aomni - Autonomous Agent</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 08: Durable - Build a Website with AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 09: Eightify Summaries</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 10: Genei - Do Higher Quality Research with AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 11: Ellicit - Do Higher Quality Research with AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 12: Inciteful - Do Higher Quality Research with AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 13: SciteAI Determine the Credibility of Your Research</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 14: Eleven Labs - Voice Cloning</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 15: AgentGPT - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 16: Cognosys - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 17: Aomni - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 18: Goal GPT - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 19: Uploading Research Reports to Summarization Applications</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 20: Perspective on The Future of AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: Productivity with AI Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 01: Meta Search Sites</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 02: SMMRY for Summarzing</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 03: ChatGPT Plugins Waitlist</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 04: Using Microsoft Bing Search</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 05: Using Google Bard</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 06: Microsoft Word Speech To Text</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 07: Transcribe Audio in Microsoft Word</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 08: Speechify</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 09: Exact Image Creation</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 10: AI Design Tools</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 11: Learn How to Prompt</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 12: Content Improvement</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 13: Idea Generation</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 14: Audio Enhancement with Adobe</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 15: Clean up Audio With Cleaanvoice</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 16: Notion-AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 17: Pictory</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 18: Lex</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 19: ChatPDF</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 20: Conclusion and the Future of Generatie AI - Searchie</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
				</tbody></table>

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<div>
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			<h2>Overview</h2>		</div>
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							<p><span>Statistical Concepts and Application with R Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Statistical Concepts and Application with R Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</span></p><p><span>Consisting of several modules, the course teaches you everything you need to succeed in this profession.</span></p><p><span>The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</span></p>						</div>
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			<h3><b> Entry Requirements
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							</div><table width="100%">				<tbody><tr>
					<td colspan="4">Introduction to the course</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Single Linear Regression</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Install R, RStudio and Basic Functionality</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Linear Regression</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Linear Regression Ctnd</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Linear Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Linear Relationships</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Line of Best Fit, SSE and MSE</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Linear Regression Analysis Ctnd</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Regression Results and Interpretation</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Predicting Future Profits</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistical Validity Tests</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistical Validity Discussion</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Single Linear Regression</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Multiple Linear Regression</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Single Linear Regression</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Importing the data</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Correlation Matrix and MLR</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>MLR Results and ANOVA</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Best Model?</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Interaction Terms and Validity Testing</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>ANOVA and Predictions</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Non-linear Regression</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Non-linear Regression (and Recap)</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Logistic Regression Overview</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Logistic Regression: Odds, Logs and Poisson</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Logistic Regression: Fitting the Models in R</td>
					<td> </td>
					<td><span><i></i> 00:24:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Optimization Theory and Differential Calculus</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Differential Calculus - Finding the Maximum and the Minimum</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Differential Calculus: One Unknown Input</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Analysis in R: One Unknown Input Differential Calculus</td>
					<td> </td>
					<td><span><i></i> 00:29:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Differential Calculus - Two Unknown Inputs</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Analysis in R: Two Unknown Inputs Differential Calculus</td>
					<td> </td>
					<td><span><i></i> 00:44:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Downloadable Resources</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resource - Statistical Concepts and Application with R</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

Teaching Online

Teaching & Training

Statistical Concepts and Application with R

<strong>This course focuses on the beginner-level concepts of cloud computing in two different arenas.

The first part is to explore the world of database technologies or DBaaS (Database as a Service) and the second part revolves around IaaS (Infrastructure as a Service) model.</strong>
        <p>Over the last couple of years, many business companies decided to use more and more cloud services as part of their digital transformation, and you already know data is the new gold.

Therefore, this course is predominantly divided into two important parts: database technologies and infrastructure as a service.

The first part is about databases technologies and, even more specifically, how such technologies are offered as cloud database services (DBaaS) by leading public cloud providers-Azure, AWS, and GCP. We will learn the technical concept, market use cases, advantages, and disadvantages of each database technology while following its evolution path.

The next part is about the IaaS model. The IaaS model provided by large cloud providers is helping companies transform their private IT infrastructure into a utility service.

As a first step, you will review the key terms in cloud computing to establish a clear understanding of the big picture, and then we will zoom in on the IaaS model. The look at building blocks, what are the typical use cases, advantages as well as disadvantages, pricing models, and more.

By the end of this course, you will be able to select the right database technology for a specific use case to dramatically affect any aspect of an application and learn about the IaaS model of cloud computing.

The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Cloud-Computing-for-Beginners---Database-Technologies-and-Infrastructure-as-a-Service</p>
        <h2>What You Will Learn</h2><p>Look at batch and stream processing, operational and analytics data<br>Understand SQL, NoSQL, NewSQL technologies<br>DBaaS portfolio overview - Azure, AWS, GCP<br>Learn the four service models - SaaS, PaaS, IaaS, and FaaS<br>Microservice and cloud-native apps, and different types of clouds<br>Virtualization technologies - virtual machines and containers</p>
        <h2>Audience</h2><p>This course is designed for the software developers, IT professionals, product/project/marketing managers who wish to reduce the footprint of enterprise applications sitting in private data centers and leverage the capabilities in a public cloud environment. Solution architects, technical advisors, telecom experts, and security professionals can also get benefit from this course.<br><br>You don't need to have prior knowledge of cloud computing concepts.</p>
        <h2>Approach</h2><p>This is a hands-on course designed for beginner-level individuals in the field of cloud computing. There are two parts in the course; the first focuses on database technologies and the other on the infrastructure model.</p>
        <h2>Key Features</h2><p>Learn the technical concept, market use cases, advantages, and disadvantages of the DBaaS model * Learn the technical concept, market use cases, advantages, and disadvantages of the IaaS model * Review key terms in cloud computing to establish a clear understanding</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Cloud-Computing-for-Beginners---Database-Technologies-and-Infrastructure-as-a-Service</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data is Everywhere</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Our Learning Objectives</p><p style='margin: 0'>This video provides an extension and focus areas about this course in detail.</p></td></tr></tbody></table><br><h4>2. Basic Database Terminology</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. DBMS, Database Instance and Schema</p><p style='margin: 0'>This video explains the DBMS (Database management System), database instance and schema.</p></td></tr><tr><td style='padding: 15px;'><p>3. Operational Data and OLTP</p><p style='margin: 0'>This video explains operational data and OLTP (Online Transaction Processing).</p></td></tr><tr><td style='padding: 15px;'><p>4. Analytics Data and OLAP</p><p style='margin: 0'>This video explains analytics and OLAP (Online Analytical Processing).</p></td></tr><tr><td style='padding: 15px;'><p>5. Data Warehouse and Data Lake</p><p style='margin: 0'>This video explains about the data warehouse and data lake.</p></td></tr><tr><td style='padding: 15px;'><p>6. ETL and ELT</p><p style='margin: 0'>This video explains ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).</p></td></tr><tr><td style='padding: 15px;'><p>7. Batch and Stream Processing</p><p style='margin: 0'>This video explains the batch and stream processing.</p></td></tr><tr><td style='padding: 15px;'><p>8. Scaling Up and Out</p><p style='margin: 0'>This video explains about scaling up and out.</p></td></tr></tbody></table><br><h4>3. Database Technologies - What, Where, and Why?</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Traditional Relational Database (SQL)</p><p style='margin: 0'>This video focuses on a traditional relational database.</p></td></tr><tr><td style='padding: 15px;'><p>3. Non-relational Database (NoSQL)</p><p style='margin: 0'>This video explains about the non-relational database.</p></td></tr><tr><td style='padding: 15px;'><p>4. Distributed SQL Database (NewSQL)</p><p style='margin: 0'>This video helps to understand about the distributed SQL database.</p></td></tr><tr><td style='padding: 15px;'><p>5. In-memory Database (IMDB)</p><p style='margin: 0'>This video talks about in-memory database.</p></td></tr><tr><td style='padding: 15px;'><p>6. Time Series Database (TSDB)</p><p style='margin: 0'>This video helps you understand the time series database.</p></td></tr></tbody></table><br><h4>4. Types of NoSQL Databases</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. #1 - Key-value Database</p><p style='margin: 0'>This video demonstrates the key-value database.</p></td></tr><tr><td style='padding: 15px;'><p>3. #2 - Document Database</p><p style='margin: 0'>This video talks about the document database.</p></td></tr><tr><td style='padding: 15px;'><p>4. #3 - Wide Column Database</p><p style='margin: 0'>This video talks about the wide column database.</p></td></tr><tr><td style='padding: 15px;'><p>5. #4 - Graph Database</p><p style='margin: 0'>This video talks about the graph database.</p></td></tr><tr><td style='padding: 15px;'><p>6. Databases Ranking Review</p><p style='margin: 0'>This video explains the databases ranking review.</p></td></tr></tbody></table><br><h4>5. Database as a Service (DBaaS)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. The Challenges of Traditional Databases</p><p style='margin: 0'>This video demonstrates the challenges of traditional databases.</p></td></tr><tr><td style='padding: 15px;'><p>3. The Concept of DBaaS</p><p style='margin: 0'>This video explains the concept of DBaaS.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Advantages of DBaaS</p><p style='margin: 0'>This video shows the advantages of DBaaS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Azure - DBaaS Portfolio Review</p><p style='margin: 0'>This video shows the DBaaS portfolio review of Azure platform.</p></td></tr><tr><td style='padding: 15px;'><p>6. AWS - DBaaS Portfolio Review</p><p style='margin: 0'>This video shows the DBaaS portfolio review of AWS platform.</p></td></tr><tr><td style='padding: 15px;'><p>7. GCP - DBaaS Portfolio Review</p><p style='margin: 0'>This video shows the DBaaS portfolio review of GCP platform.</p></td></tr></tbody></table><br><h4>6. Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Quick Recap and Thank You!</p><p style='margin: 0'>This video helps with the recap of the concepts learned so far.</p></td></tr></tbody></table><br><h4>7. Getting Started</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome</p><p style='margin: 0'>This video provides an introduction to this part.</p></td></tr><tr><td style='padding: 15px;'><p>2. Our Learning Objectives</p><p style='margin: 0'>This video provides an extension and focus areas about this course in detail.</p></td></tr></tbody></table><br><h4>8. Cloud Computing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to the World of Cloud Computing</p><p style='margin: 0'>This video provides an introduction to the cloud computing concepts.</p></td></tr><tr><td style='padding: 15px;'><p>2. Private vs Public</p><p style='margin: 0'>This video explains the difference between private and public cloud computing.</p></td></tr><tr><td style='padding: 15px;'><p>3. Hybrid-cloud and Multi-cloud</p><p style='margin: 0'>This video explains the hybrid-cloud and multi-cloud.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hyperscale Cloud Service Providers</p><p style='margin: 0'>This video explains the hyperscale cloud service providers.</p></td></tr><tr><td style='padding: 15px;'><p>5. Cloud Service Models</p><p style='margin: 0'>This video explains the cloud service models.</p></td></tr><tr><td style='padding: 15px;'><p>6. SaaS - Software as a Service</p><p style='margin: 0'>This video talks about SaaS - Software as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>7. IaaS - Infrastructure as a Service</p><p style='margin: 0'>This video talks about IaaS - Infrastructure as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>8. PaaS - Platform as a Service</p><p style='margin: 0'>This video talks about PaaS - Platform as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>9. FaaS - Function as a Service</p><p style='margin: 0'>This video talks about FaaS - Function as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>10. Demo - AWS, Azure, GCP</p><p style='margin: 0'>This video provides demo on the various cloud service provides - AWS, Azure, and GCP.</p></td></tr></tbody></table><br><h4>9. Virtualization Technologies</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an introduction to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Underutilized Physical Servers</p><p style='margin: 0'>This video talks about underutilized physical servers.</p></td></tr><tr><td style='padding: 15px;'><p>3. Virtualization with Virtual Machines</p><p style='margin: 0'>This video demonstrates how to do virtualization with virtual machines.</p></td></tr><tr><td style='padding: 15px;'><p>4. Vertical and Horizontal Scaling</p><p style='margin: 0'>This video explains the vertical and horizontal scaling.</p></td></tr><tr><td style='padding: 15px;'><p>5. Microservices and Cloud-Native Apps</p><p style='margin: 0'>This video focuses on microservices and cloud-native apps.</p></td></tr><tr><td style='padding: 15px;'><p>6. Virtualization with Containers</p><p style='margin: 0'>This video demonstrates how to do virtualization with containers.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Benefits of Containers</p><p style='margin: 0'>This video demonstrates the benefits of containers.</p></td></tr></tbody></table><br><h4>10. Introduction to Infrastructure as a Service (IaaS)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction and Overview</p><p style='margin: 0'>This video provides an overview and introduction to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. IaaS - Transform IT to Utility</p><p style='margin: 0'>This video explains how to transform IT to utility in IaaS.</p></td></tr><tr><td style='padding: 15px;'><p>3. Compute, Storage and Networking</p><p style='margin: 0'>This video focuses on compute, storage and networking.</p></td></tr><tr><td style='padding: 15px;'><p>4. Demo - IaaS Solution with Microsoft Azure</p><p style='margin: 0'>This video provides a demo on IaaS solution with Microsoft Azure.</p></td></tr><tr><td style='padding: 15px;'><p>5. Pricing Models</p><p style='margin: 0'>This video talks about the pricing models in Microsoft Azure.</p></td></tr><tr><td style='padding: 15px;'><p>6. Main Advantages</p><p style='margin: 0'>This video focuses on the advantages of IaaS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Disadvantages</p><p style='margin: 0'>This video tells the disadvantages of IaaS.</p></td></tr><tr><td style='padding: 15px;'><p>8. Typical Market Use Cases</p><p style='margin: 0'>This video explains the typical market use cases.</p></td></tr></tbody></table><br><h4>11. Course Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Let's Recap and Thank You!</p><p style='margin: 0'>This video helps with a recap of the concepts learned so far.</p></td></tr></tbody></table>

This course focuses on the beginner-level concepts of cloud computing in two different arenas.

The first part is to explore the world of database technologies or DBaaS (Database as a Service) and the second part revolves around IaaS (Infrastructure as a Service) model.

Cloud Computing for Beginners - Database Technologies and Infrastructure as a Service

London

<article>
<div>
<h5>Java EVENINGS Course</h5>
</div>
<div></div>
<p>  						 
	</p><div>
	<ul>
		<p>
		<b>Python EVENINGS Course. </b>Basic Python syntax and principles of Object Orientated Programming. 
		<br />Most attendees are in-work IT Professional.
		<br />Private individuals are also very welcome. 
		<br />Evening courses also running.
		<br /><b>Our Style: </b>Hands-on, Practical  
		<br /><b>Location:  </b>Online, Instructor-led  
		<br /><b>Download:  </b>anaconda.com
		<br /><b>Duration:  </b>6 weeks, 1 evening per week, 6pm - 8pm
		<br /><b>Times: </b>arrange a time for your time zone
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<p></p>
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<div>
	  <div>
		 <h5>Python Basics EVENINGS Course </h5>
	  </div>
	  <div></div>
	  <p> 
 
				This Python course London Evening covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom.
				This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language.
				These concepts are daily used by programmers and is your first step to working as a programmer.
				By the end, you'll be comfortable in programming Python code.
				You will have done small projects.
				This will serve for you as examples and samples that you can use to build larger projects.
				You can publish your code online to keep as a portfolio.

<br />
This Python Programming course is hands-on and practical, to give you in-depth, practical experience of the topics covered.

	  </p>
	<div>
	<h5>Week 1: Basics</h5>
	</div>
	<div></div>
	<div> 
					<p>  <strong>Python Data Types and Variables:</strong>  
					<br />  Primitive types; Characters &amp; Strings; Boolean; Working with variables and its scope; Conversion and casting types in Python.	 
					<br /> <strong>Operators and Expressions: </strong>   
					<br />  Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.
					</p> 
			 
				<p><strong> Decision Making:</strong>
				<br />If statement; If - else statement; If- elif - else statement; Nested if - else.
				</p><p><strong>Using Loops:</strong>
				<br />The while, while-else.
				<br />For loop;
				<br />Jump statements: break, continue;
				<br />Nesting loops.				
				</p>
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	<div>
	<h5>Week 2: Data Structures</h5>
	</div> <div></div>
	<div> 
				<p> Lists.
					<br />Tuples.
					<br />Sets.
					<br />Dictionary. Nested Dictionary.
					<br />Json Files.
				</p>
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	<div>
	<h5>Week 3: Python built-in functions</h5>
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	<div> 
				<p>  
				<br />Using Built-in modules and functions:
				<br />Strings Functions.
				<br />Pattern matching with Regex.
				<br />Maths Functions.
				<br />Random Functions.
				<br />Python Date functions.
				</p>
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	<div>
	<h5>Week 4: OOP: Using Modules, functions, classes</h5>
	</div> <div></div>
	<div>
				<p>  Creating and using custom Functions.
					<br />Creating functions;
					<br />Using parameters and return values;
					<br />
					<br />Introduction to Classes and Objects:
					<br />Creating a Class; 
					<br />Creating an Object; Using an Object; 
					<br />Adding Instance variables; Controlling accessibility; Naming conventions for class members. 
					<br /> Class Constructors; Parameterized Constructors.
					<br />Inheritance. Overload.
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	<div>
	<h5>Week 5: Pandas DataBase Basics</h5>
	</div> <div></div>
	<div>	 
		<p> <b>Connection details:</b>
				Connect to a database using access codes. 
				<br /><b>Select Queries:</b>
				Retrieving records and iterating results sets, using variables and parameters in queries. 
				<br />Working with DDL comands:
				Create a database, drop a database.
				Create a table, alter tables, drop a table. 
				<br />Working with DML Commands:
				Insert, delete, update records.
		</p>
	</div>
	
	 
	<div>
	<h5>Week 6: Pandas Dataframe Basics</h5>
	</div> <div></div>
	<div>	 
		<p> Getting data into a dataframe:
			<br />Dict to Dataframe, Dataframe to Dict.
			<br />Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets.

			<br />Dataframe basics:
			<br />Slicing Dataframes,
			<br />Getting information about the dataframe,
			<br />Filter, sort and query a Dataframes,
			<br />Duplicate values,
			<br />Working with null-values,
			<br />Sampling,
			<br />Group by,
			<br />Join.

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	   <div id="cincluded">
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				<li>After the course: 1-Hour personalised online revision session</li>
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	                     <h5 id="cincluded2">Book the Python  Course</h5>
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Python EVENINGS Course
Basic Python syntax and principles of object-oriented programming. 
Most attendees are in-work IT Professional. 
Private individuals are also very welcome. 
Evening courses also running. 

Details:
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 4 weeks, 1 evening per week, 6pm - 8pm 
Times: arrange a time for your time zone 
How to attend:  
Connection Link For the course: https://meet.goto.com/910697125
Once you have made the payment, use the above link on the date booked, to connect with the trainer. 
Python Basics EVENINGS Course
 This Python course London Evening covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. These concepts are daily used by programmers and is your first step to working as a programmer. By the end, you'll be comfortable in programming Python code. You will have done small projects. This will serve for you as examples and samples that you can use to build larger projects. You can publish your code online to keep as a portfolio. 

This Python Programming course is hands-on and practical, to give you in-depth, practical experience of the topics covered. 
Week 1: Basics
 Python Data Types and Variables: 
Primitive Data types; Working with variables and its scope; Conversion and casting types in Python. 
 Operators and Expressions:  
 Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. 
 Decision Making: 
If statement; If - else statement; If- elif - else statement; Nested if - else. 
Using Loops: 
The while, while-else. 
For loop; 
Jump statements: break, continue; 
Nesting loops. 
Week 2: Data Structures & Database
Lists.  
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files. 
Reading csv and text files
Connecting with a database and run SQL Queries. 
Week 3: Python built-in functions &  Pandas Dataframe Basics
 
Using built-in modules and functions: 
Strings Functions. 
Maths Functions. 
Random Functions. 
Data Frames; 
Getting data into a dataframe: 
Dict to Dataframe, Dataframe to Dict.  
Dataframe basics: 
Slicing Dataframes, 
Getting information about the dataframe, 
Filter and query a Dataframes, 
Working with null-values.
Week 4: OOP: Using Modules, functions, classes
 Creating and using custom Functions. 
Creating functions; 
Using parameters and return values; 
 
Introduction to Classes and Objects: 
Creating a Class; 
Creating an Object; Using an Object; 
Adding instance variables; controlling accessibility; and naming conventions for class members. 
 Class Constructors; Parameterized Constructors. 
Inheritance. Overload. 

What is included
PCWorkshops Course Certificate on completion
Python Course Notes
Python Code Examples
Practical Python Course exercises and Code Samples
After the course: 1-Hour personalised online revision session
  

PCWorkshops

Programming Fundamentals

Computer Programming

Professional Skills Course (PSC)

Instructor

Basic Python syntax and principles of Object Orientated Programming. 
Most attendees are in-work IT Professional. 
Private individuals are also very welcome. 
Evening courses also running. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 6 weeks, 1 evening per week, 6pm - 8pm 
Times: arrange a time for your time zone 

Python EVENINGS Course, Online Instructor-led

General admission

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This is a free Q&amp;A session hosted by Paul McGowran of Proactive NLP Ltd and the owner of <a href="https://staging2.alifewithoutanxiety.com" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">alifewithoutanxiety.com</a>.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">During the session Paul will open to all your questions about how clinical hypnotherapy and NLP can help you achieve a life without anxiety.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This is a &#39;taster&#39; session, &nbsp;that sets out to show delegates how they can use NLP &amp; Hypnotherapy techniques to achieve a level of control over their, or their client&#39;s anxiety. &nbsp;Learn how NeuroScience is now demonstrating what we in the field of NLP have been teaching for decades now...our repeated patterns of thinking create the results we achieve. &nbsp;Anxiety...is the result of an ingrained way of thinking. &nbsp;The good news is that it does not take long for a new pattern to replace the old pattern. &nbsp;A pattern that can help you achieve happiness and contentedness.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The session is designed to last for one hour (1 Hr) and the plan is to run at least one per month.</p>

This is a free Q&A session hosted by Paul McGowran of Proactive NLP Ltd and the owner of alifewithoutanxiety.com.
During the session Paul will open to all your questions about how clinical hypnotherapy and NLP can help you achieve a life without anxiety.
This is a 'taster' session, that sets out to show delegates how they can use NLP & Hypnotherapy techniques to achieve a level of control over their, or their client's anxiety. Learn how NeuroScience is now demonstrating what we in the field of NLP have been teaching for decades now...our repeated patterns of thinking create the results we achieve. Anxiety...is the result of an ingrained way of thinking. The good news is that it does not take long for a new pattern to replace the old pattern. A pattern that can help you achieve happiness and contentedness.
The session is designed to last for one hour (1 Hr) and the plan is to run at least one per month.

Proactive NLP Ltd

Stress Management

Hypnotherapy

Depression

Neuro-Linguistic Programming (NLP)

Anxiety Management

NLP Practitioner

Happiness

Anxiety

Therapy

A life without anxiety can be yours with our bespoke blend of clinical hypnotherapy and advanced NLP therapy techniques.  Start with a free online Q&A session.  Start enjoying a life free from anxiety

Anxiety Relief with NLP & Hypnotherapy

<p id="isPasted" 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;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Welcome to Becoming Anxiety Free with NLP!</strong></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you tired of feeling anxious and stressed all the time? Join us for this online event where we will explore how Neuro-Linguistic Programming (NLP) can help you overcome anxiety and live a more peaceful life.</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;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Date:</strong></strong>&nbsp;Thurs Jul 04 2024</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;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Time:</strong></strong>&nbsp;10:00:00 GMT+0100 (British Summer Time)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">During this event, you will learn practical techniques and strategies to reprogram your mind and break free from the grips of anxiety. Say goodbye to constant worrying and hello to a calmer, more confident you!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Don&#39;t miss out on this opportunity to transform your life. Register now and take the first step towards becoming anxiety-free with NLP!</p>

Welcome to Becoming Anxiety Free with NLP!
Are you tired of feeling anxious and stressed all the time? Join us for this online event where we will explore how Neuro-Linguistic Programming (NLP) can help you overcome anxiety and live a more peaceful life.
Date: Thurs Jul 04 2024
Time: 10:00:00 GMT+0100 (British Summer Time)
During this event, you will learn practical techniques and strategies to reprogram your mind and break free from the grips of anxiety. Say goodbye to constant worrying and hello to a calmer, more confident you!
Don't miss out on this opportunity to transform your life. Register now and take the first step towards becoming anxiety-free with NLP!

Psychological Wellbeing

Emotional Freedom Techniques (EFT)

Become free from Anxiety and say goodbye to managing your anxiety and start living a happy and content life.  This masterclass will show you can change how your mind works to eliminate the negative and debilitating emotional impact of anxiety, once and for all!

Becoming Anxiety Free with NLP

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 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>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Academy for Health and Fitness

Data Engineering

Data Science with Python - IT Job Ready Program with Career Support & Money Back Guarantee

Loughborough

<div>
		

		<div>
			
			<p>This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.</p>
			<div><i></i> 5 Days - 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
		</div>
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			<p>Want to run this event in-house?  Enquire about running this event in-house </p>
			
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			<p>Interested in attending? Have a suggestion about running this event near you?<br />Register your interest now</p>
			
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		<h3>Description</h3>
		<p></p><p>For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives: </h3>
<p>In this course, you will implement data science techniques in order to address business issues. You will:</p>
<p>• Use data science principles to address business issues. <br />• Apply the extract, transform, and load (ETL) process to prepare datasets. <br />• Use multiple techniques to analyze data and extract valuable insights. <br />• Design a machine learning approach to address business issues. <br />• Train, tune, and evaluate classification models. <br />• Train, tune, and evaluate regression and forecasting models. <br />• Train, tune, and evaluate clustering models. <br />• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.  However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. </p>
<p>Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.  This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.</p>
<p>You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.</p>
<p>In addition to programming, you should also have experience working with databases, including querying languages like SQL. </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Addressing Business Issues with Data Science</h4>
<div>
<p>Topic A: Initiate a Data Science Project<br />Topic B: Formulate a Data Science Problem</p>
<h4>Lesson 2: Extracting, Transforming, and Loading Data</h4>
<p>Topic A: Extract Data <br />Topic B: Transform Data <br />Topic C: Load Data</p>
<h4>Lesson 3: Analyzing Data</h4>
<p>Topic A: Examine Data<br />Topic B: Explore the Underlying Distribution of Data <br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Preprocess Data</p>
<h4>Lesson 4: Designing a Machine Learning Approach</h4>
<p>Topic A: Identify Machine Learning Concepts<br />Topic B: Test a Hypothesis</p>
</div>
<h4>Lesson 5: Developing Classification Models</h4>
<p>Topic A: Train and Tune Classification Models <br />Topic B: Evaluate Classification Models</p>
<h4>Lesson 6: Developing Regression Models</h4>
<p>Topic A: Train and Tune Regression Models <br />Topic B: Evaluate Regression Models</p>
<h4>Lesson 7: Developing Clustering Models</h4>
<p>Topic A: Train and Tune Clustering Models <br />Topic B: Evaluate Clustering Models</p>
<h4>Lesson 8: Finalizing a Data Science Project</h4>
<p>Topic A: Communicate Results to Stakeholders <br />Topic B: Demonstrate Models in a Web App <br />Topic C: Implement and Test Production Pipelines</p>
<p></p>

Mpi Learning - Professional Learning And Development Provider

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Certified Data Science Practitioner

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools.</p>Overview<p>After completing this course, students will be able to: - Identify independent and dependent variables and measurement levels in their own analytical work scenarios. - Identify variables of interest in relational database tables. - Choose a data aggregation level and data set design appropriate for the intended analysis and tool. - Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. - Create stored procedures, views, and functions to modularize data retrieval code.</p><p>This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence.</p></div><div id="course-pills-2"><h3>1 - INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE</h3> <ul> <li>Two Approaches to SQL Programming</li> <li>TSQL Data Retrieval in an Analytics / Business Intelligence Environment</li> <li>The Database Engine</li> <li>SQL Server Management Studio and the CarDeal Sample Database</li> <li>Identifying Variables in Tables</li> <li>SQL is a Declarative Language</li> <li>Introduction to the SELECT Query</li> <li>Lab 1: Introduction to TSQL for Business Intelligence</li> </ul> <h3>2 - TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY</h3> <ul> <li>Turning Columns into Variables for Analysis</li> <li>Column Expressions, Data Types, and Built-in Functions</li> <li>Column aliases</li> <li>Data type conversions</li> <li>Built-in Scalar Functions</li> <li>Table Aliases</li> <li>The WHERE clause</li> <li>ORDER BY</li> <li>Lab 1: Write queries</li> </ul> <h3>3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS</h3> <ul> <li>Primary Keys, Foreign Keys, and Joins</li> <li>Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product</li> <li>Understanding Joins, Part 2: The INNER JOIN</li> <li>Understanding Joins, Part 3: The OUTER JOINS</li> <li>Understanding Joins, Part 4: Joining more than two tables</li> <li>Understanding Joins, Part 5: Combining INNER and OUTER JOINs</li> <li>Combining JOIN Operations with WHERE and ORDER BY</li> <li>Lab 1: Write SELECT queries</li> </ul> <h3>4 - CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY</h3> <ul> <li>Identifying required aggregation level and granularity</li> <li>Aggregate Functions</li> <li>GROUP BY</li> <li>HAVING</li> <li>Order of operations in SELECT queries</li> <li>Lab 1: Write queries</li> </ul> <h3>5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS</h3> <ul> <li>Non-correlated and correlated subqueries</li> <li>Derived tables</li> <li>Common table expressions</li> <li>Lab 1: Write queries</li> </ul> <h3>6 - ENCAPSULATING DATA RETRIEVAL LOGIC</h3> <ul> <li>Views</li> <li>Table-valued functions</li> <li>Stored procedures</li> <li>Creating objects for read-access users</li> <li>Creating database accounts for analytical client tools</li> <li>Lab 1: Encapsulating Data Retrieval Logic</li> </ul> <h3>7 - GETTING YOUR DATASET TO THE CLIENT</h3> <ul> <li>Connecting to SQL Server and Submitting Queries from Client Tools</li> <li>Connecting and running SELECT queries from:</li> <li>Excel</li> <li>PowerBI</li> <li>RStudio</li> <li>Exporting datasets to files using</li> <li>Results pane from SSMS</li> <li>The bcp utility</li> <li>The Import/Export Wizard</li> <li>Lab 1: Getting Your Dataset to the Client</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans 55232 Writing Analytical Queries for Business Intelligence 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 55232 Writing Analytical Queries for Business Intelligence 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>

Nexus Human

Business Analytics & Intelligence

Oracle Business Intelligence

Microsoft BI

Business Intelligence (BI)

Analytical Skills

Business Data Analysis

55232 Writing Analytical Queries for Business Intelligence

<p><strong>***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle***</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now</strong></p><p>Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in <strong>Data Science </strong>and other relevant fields!</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one <strong>Data Science </strong>bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market.</p><p>Furthermore, to help you showcase your expertise in <strong>Data Science, </strong> we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Data Science Bundle Consists of the following Premium courses: </strong></p><ul><li><strong>Course 01: </strong>Data Analysis</li><li><strong>Course 02: </strong>Data Science &amp; Machine Learning with Python</li><li><strong>Course 03: </strong>R Programming for Data Science</li><li><strong>Course 04: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong>Course 06: </strong>Excel Data Analysis for Beginner</li><li><strong>Course 07: </strong>Introduction to Data Analysis</li><li><strong>Course 08: </strong>Data Analysis in Excel Level 3 Course</li><li><strong>Course 09: </strong>Google Data Studio: Data Analytics</li><li><strong>Course 10: </strong>Data Center Training Essentials: General Introduction</li><li><strong>Course 11: </strong>SQL Programming Masterclass</li><li><strong>Course 12: </strong>Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 13: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 14: </strong>GDPR Data Protection Level 5</li></ul><p>So enrol now in this Data science bundle to kick-start/ advance your career!</p><p>Curriculum of <strong>Data Science Bundle</strong></p><p><strong>Data Science with Python</strong></p><ul><li>Introduction to Python Data Science</li><li>Data Cleaning Packages</li><li>Data Visualization packages</li></ul><p><strong>How will I get my Data Science Certificate?</strong></p><p>After successfully completing the <strong>Data Science </strong>course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        145 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 <strong>Data Science </strong>bundle including;</p><ul><li>Administrator</li><li>&amp; Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our <strong>Data science</strong>course is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this <strong>Data science </strong>expertise will increase the value of your CV and open you up to multiple job sectors. Explore</p><ul><li>Data Science<br /><ul><li>Administrator</li><li>Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul></li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Apex Learning

Data Science - CPD Accredited

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p>These courses will help you to develop your knowledge and skills to become a <strong>successful </strong>Cyber Security Expert.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 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>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
These courses will help you to develop your knowledge and skills to become a successful Cyber Security Expert.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Analyst

Data Scientist Job Ready Program with Career Support & Money Back Guarantee

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			<p>The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.</p>
			<div><i></i> 120 minutes</div>
			<div><i></i>  £50.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><p>The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business.</p>
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		<h3>Modules/Lessons</h3>
		<p></p><h4><span><strong>Lesson 1:</strong> Data Science Fundamentals</span></h4>
<p>Topic A: What is Data Science?<br />Topic B: Types of Data<br />Topic C: The Data Science Lifecycle</p>
<h4><span><strong>Lesson 2:</strong> Data Science Implementation</span></h4>
<p>Topic A: Data Acquisition and Preparation<br />Topic B: Data Modeling and Visualization<br />Topic C: Data Science Roles</p>
<h4><span><strong>Lesson 3:</strong> The Impact of Data Science</span></h4>
<p>Topic A: Benefits of Data Science<br />Topic B: Challenges of Data Science<br />Topic C: Business Use Cases for Data Science</p>
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		<h3>Target Student</h3>
		<p></p><p>This course is designed for business leaders and decision-makers, including C-level executives, project managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who want to increase their knowledge of and familiarity with concepts surrounding data science. Other individuals who want to know more about basic data science concepts are also candidates for this course.</p>
<p></p>

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.

Data Science for Business Professionals

<strong>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.</strong>
        <p>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework. If you don't have a programming background, this course will help you create custom analytic tools in the browser by taking you through the core concepts of pandas, NumPy, Matplotlib, and Seaborn. With a step-by-step introduction to new concepts, this Django course will gradually help you get to grips with the essentials of data science.
The code bundle for this course available at https://github.com/PacktPublishing/Django-with-Data-Science</p>
        <h2>What You Will Learn</h2><p>Understand the integration of Django and Python data science libraries: pandas, Matplotlib, Seaborn, and NumPy<br>Populate the database from CSV files<br>Explore the Semantic UI framework<br>Get to grips with the basics of data science</p>
        <h2>Audience</h2><p>If you are a developer looking to dive into the world of data science with Django, this course is for you.</p>
        <h2>Approach</h2><p>A good resource for beginners with a programming mindset, this course explains each concept in a precise and easy-to-understand way. The instructor takes you through the content systematically to help you make the most of the topics covered.</p>
        <h2>Key Features</h2><p>Work with Django forms and model forms * Create a modal with price statistics * Transform the database and populate rows of the .csv file with sales data</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/django-with-data-science</p>
        <h2>About the Author</h2><h3>Lukasz Makinia</h3><p>Lukasz Makinia is a freelance web developer and a Lean Sigma Six Black Belt. From the beginning of his 8-year professional career, he's related to the field of continuous improvement by providing IT and Lean Management solutions to medium and large companies. He also creates web applications mainly for data gathering and processing using Python/Django, JavaScript, React, and ML. In his free time, Luke writes articles for his blog-PyPlane.

He is associated with 'Django Ninjas'-a web framework for building APIs with Django and Python 3.6+ type hints. They provide online educational courses mainly about Python/Django by the community of web developers across the globe. Their classes are project-based only, which means 'teaching by doing'.</p>
        <h2>Course Outline</h2><h4>1. Django Project</h4><p></p><br><h4>2. Python Data Science Libraries [Optional]</h4><p></p><br><h4>3. Field Types in Django [OPTIONAL]</h4><p></p>

Pandas

This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.

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