Name: Data Science Engineering: Data Analytics & Database Management with MySQL - QLS Endorsed
Price: 119 GBP
Availability: InStock

<strong>This course is designed for beginner-level students to create their first voice assistant in Python.

If you have the questions: How to create a chatbot in Python?

How to build a virtual assistant with Python?

Then you are on the right course. This is a great small project to get you started (even if you have little or no prior knowledge in python) and a learning opportunity.</strong>
        <p>Learning through your own little projects is the best and most enjoyable way to improve your skills.

In the world of today, we all already use virtual assistants such as Alexa, Siri, Google Assistant, and others increasingly in our daily life. It is convenient and this will only increase in the next few years. So, wouldn't it be interesting to learn the fundamentals to create our own virtual assistant?

This is exactly the goal of this course, and it creates a lot of fun doing it. We can ask our virtual assistant to play songs, search YouTube, return stock quotes, and do many other things.

Doesn't that sound interesting?

So, let's not waste any time and start working on this project together. You will start by running Jupyter Notebook and understanding some basic Python libraries. Followed by adding components of your virtual assistant like data, time, voice to text, and so on. Finally, you will execute and test your virtual assistant and modify it as per your requirement.

The cherry on the top, you can also add this project to your own portfolio later to show potential employers your skills!

By the end of this course, you will build a working and your first personal virtual assistant using Python and learn some basic Python libraries and modules.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/How-to-build-your-own-first-Voice-Assistant-in-Python</p>
        <h2>What You Will Learn</h2><p>Learn basics to start your project on virtual assistant in Python<br>Launch Jupyter Notebook and start testing modules<br>Implement basic Python and useful Python libraries and modules<br>Add voice to the text component<br>Add time and date related component<br>Run and test your voice assistant project</p>
        <h2>Audience</h2><p>The course is designed for beginner to advanced level Python enthusiasts. Everyone who is interested in building a virtual assistant or students interested in building a chatbot, and finally, the ones who are interested in starting programming and looking for a project to add to their portfolio.<br><br>Windows system and Jupyter Notebook are used while building this project but feel free to choose the editor of your choice. No programming knowledge is required.</p>
        <h2>Approach</h2><p>This is a short yet comprehensive course that focuses on building your own virtual assistant using Python.<br><br>The course is hands-on and highly practical in its approach. A step-by-step explanation of the modules and their implementations are shown in parallel.</p>
        <h2>Key Features</h2><p>Build your personal voice assistant with the help of Python libraries and modules from scratch * Python beginners and experts can benefit from this project * Comes bundled with resource files that can be implemented while learning and add it to your own portfolio</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/How-to-build-your-own-first-Voice-Assistant-in-Python</p>
        <h2>About the Author</h2><h3>Dan We</h3><p>Dan We is a 32-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master's degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data in order to deliver long-term growth and outpace their competitors.

He is committed to supporting other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.</p>
        <h2>Course Outline</h2><h4>1. Your own Virtual Assistant in Python. Lets start the project</h4><p></p>

Packt

Virtual Assistant

Alexa

Python

Programming

This course is designed for beginner-level students to create their first voice assistant in Python.

If you have the questions: How to create a chatbot in Python?

How to build a virtual assistant with Python?

Then you are on the right course. This is a great small project to get you started (even if you have little or no prior knowledge in python) and a learning opportunity.

How to Build Your Own First Voice Assistant in Python

General Admission

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now</strong></p> <p>Give a compliment to your career and take it to the next level. This <strong>Python Data Science </strong>will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this <strong>Python Data Science </strong>will help you keep ahead of the pack.</p> <p>The <strong>Python Data Science </strong>incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and practical knowledge, reaching out to the level of expertise required for your position. Further, this <strong>Python Data Science </strong>will add extra value to your resume to stand out to potential employers.</p> <p>Along with this course<strong>,</strong> you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free.</p> <p><strong>This Bundle Consists of the following Premium courses: </strong></p> <ul> <li><strong> Course 1: Python Programming for Everybody<br /></strong></li><li><strong> Course 2: Higher Order Functions in Python - Level 03<br /></strong></li><li><strong> Course 3: Learn to Use Python for Spatial Analysis in ArcGIS<br /></strong></li><li><strong> Course 4: Data Structures Complete Course<br /></strong></li><li><strong> Course 5: Basic Google Data Studio<br /></strong></li><li><strong> Course 6: Data Analytics with Tableau<br /></strong></li><li><strong> Course 7: Business Intelligence and Data Mining Masterclass<br /></strong></li><li><strong> Course 8: SQL Programming Complete Bundle<br /></strong></li><li><strong> Course 9:  Decision Making and Critical Thinking<br /></strong></li><li><strong> Course 10: Time Management</strong></li></ul> <p>Enrol now,to advance your career, and use the premium study materials from Apex Learning.</p> <p><strong>Benefits you'll get from choosing Apex Learning for this Python Data Science:</strong></p> <ul> <li>Pay once and get lifetime access <strong>to 11 CPD courses </strong>including this Python Data Science Course</li><li>Free e-Learning App for engaging reading materials &amp; helpful assistance</li><li>Certificates, student ID for the course included in a one-time fee</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules designed by expert instructors</li><li>Learn about at your ease - anytime, from anywhere</li><li>Study from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li></ul><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Python Data Science expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p> <p><strong>Curriculum:</strong></p> <p><strong>Course 1: Data Science with Python<br /></strong></p> <ul> <li>Introduction</li><li>Data Cleaning Packages</li><li>Data Visualization packages</li></ul> <p><strong>Course 2: Python Programming for Everybody</strong></p> <p>Module 01<strong><br /></strong></p> <ul> <li>A Installing Python</li><li>Documentation</li><li>Command Line</li><li>Variables</li><li>Simple Syntax</li><li>Keywords</li><li>Import Module</li></ul> <p>Module 02</p> <ul> <li>Additional Topics</li><li>If Elif Else</li><li>Iterable</li><li>For</li><li>Loops</li><li>Execute</li><li>Exceptions</li></ul> <p>Module 03</p> <ul> <li>Data Types</li><li>Number Types</li><li>More Number Types</li><li>Strings</li><li>More Strings</li><li>Files</li><li>Lists</li><li>Dictionaries</li><li>Tuples</li><li>Sets</li></ul> <p>Module 04</p> <ul> <li>Comprehensions</li><li>Definitions</li><li>Functions</li><li>Default Arguments</li><li>Doc Strings</li><li>Variadic Functions</li><li>Factorial</li></ul> <p>Module 05</p> <ul> <li>Function Objects</li><li>Lambda</li><li>Generators</li><li>Closures</li><li>Classes</li><li>Object Initialization</li><li>Class Static Members</li><li>Classic Inheritance</li><li>Data Hiding</li></ul> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        110 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 bundle.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                             <p>Having these various certifications will increase the value in your CV and open you up to multiple job sectors.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

Python Data Science Courses

<p>The British Empire, at its zenith, commanded the political destinies of almost a quarter of the world. Inspired by this rich tapestry of history, this course invites you on an intellectual expedition, exploring the intricacies of International Relations (IR) through the unique prisms of Marxism and Feminism. This interdisciplinary journey, in the realms of politics, economics, history, and gender studies, will unveil the invisible patterns that underlie the grand theatre of IR.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Understand the critical theories of Marxism and Feminism within the context of International Relations (IR).</li><li>Analyse the application and implications of these traditions in contemporary and historical IR scenarios.</li><li>Develop the ability to critically examine the structures of power and inequality in the global system.</li><li>Comprehend how gender shapes international politics and policy.</li><li>Evaluate the contributions and criticisms of Marxist and Feminist traditions in IR.</li><li>Formulate independent perspectives and arguments on global issues using the theoretical frameworks learnt.</li></ul><p>Unravel the invisible strings of power, capital, and gender that choreograph the dance of International Relations (IR). This course presents a unique tableau, where the abstract theories of Marxism and Feminism are set on the stage of the realpolitik of IR. You will embark on a voyage that uncovers the patterns of capital and labour, privilege and disparity, patriarchy and empowerment, which underpin the grand narrative of IR.</p><p>It's an exploration that will shatter your preconceptions and provoke you to question accepted norms. You will be equipped with tools to discern the unseen mechanisms at work in the realm of IR. This course unravels the often ignored narratives in IR - those of the working classes and women - offering you a richer, more nuanced understanding of the world.</p><p><strong>Certification</strong></p><p>Upon successful completion of the course, all learners will be eligible to receive a certificate titled  International Relations (IR) to acknowledge their achievement. We are delighted to offer two formats for your certificate: <strong>PDF and Hardcopy.</strong></p><p><strong>PDF Certificate</strong>: This digital version of your certificate will be available for you to download and print for totally <strong>FREE</strong>. </p><p><strong>Hard Copy Certificate</strong>: For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply.</p><p>UK Delivery: If your shipping address is within the United Kingdom, the delivery fee will be only <strong>£3.99.</strong></p><p><strong>International Delivery</strong>: For all international addresses outside of the United Kingdom, the delivery fee will be only <strong>£10</strong>. </p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>University students studying International Relations (IR), Politics, or Gender Studies, looking for a deeper understanding of Marxist and Feminist traditions in IR.</li><li>Individuals working in the fields of diplomacy, policy making, or non-profit organisations, who wish to better understand the power dynamics in IR.</li><li>Researchers and Academicians in the field of IR interested in exploring the influence of Marxism and Feminism on global politics.</li><li>Social activists keen to comprehend the larger global picture that shapes and is shaped by local issues.</li><li>Anyone with a curiosity to unravel the complex interplay of power, economics, and gender in the world of IR.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Diplomatic service officer: £28,000 to £45,000 per annum</li><li>Policy officer in governmental or non-governmental organisations: £25,000 to £40,000 per annum</li><li>Research Analyst in think tanks or research institutes: £30,000 to £55,000 per annum</li><li>Political risk analyst in private companies: £35,000 to £70,000 per annum</li><li>Lecturer or academic researcher in universities: £33,000 to £55,000 per annum</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Training Express

The Marxist and The Feminist Tradition in International Relations Course

<p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 17</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;in 1 "Data Engineering: Big Data &amp; Google Cloud Architect" CPD Certified Diploma ✿</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Are you interested in pursuing a career in data analysis? Do you want to gain the skills and knowledge necessary to excel in the field of data analytics? Look no further! Our comprehensive&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Diploma</strong>&nbsp;bundle offers a thorough overview of the essential concepts, techniques, and tools required to succeed in this exciting and rapidly growing field.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Diploma training offers :</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">17&nbsp;</strong>Free PDF Certificates</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lifetime&nbsp;</strong>Access</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">24/7</strong>&nbsp;Learner Support</li></ul><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Enter into the world of data engineering with our "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>" bundle. Designed for both beginner and those with foundational knowledge, this Data Engineering: Big Data &amp; Google Cloud Architect bundle will elevate your understanding of big data and cloud architecture. With the proliferation of data in today&#39;s digital landscape, mastering these skills is crucial for anyone aiming to make a significant impact in the tech industry.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>diploma training provides a comprehensive curriculum that covers everything from the basics of data engineering to advanced topics in Google Cloud, Big Query, Data Structures, SQL/MySQL Database etc. Through engaging modules, you&#39;ll gain insight into the intricacies of data processing, storage solutions, and cloud infrastructure.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">By completing this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>training, you&#39;ll be equipped with the knowledge needed to architect robust data solutions using Google Cloud. You&#39;ll understand the principles behind big data management and how to apply them in real-world contexts. Whether you&#39;re looking to enhance your career prospects or pivot into a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle offers the tools and understanding required to succeed in the ever-evolving data engineering landscape.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Bundle Consists the Following Courses:</strong></p><ol style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Data Engineering: Google Big Query &amp; Google Cloud</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">JavaScript for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW &ndash; Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysis: Getting Results with PowerBI</li></ol><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Engineering: Big Data &amp; Google Cloud Architect Diploma</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals of data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in Google Cloud Platform services.</li><li fr-original-style="" style="box-sizing: border-box;">Master techniques for big data processing.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design scalable data architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Implement effective data storage solutions.</li><li fr-original-style="" style="box-sizing: border-box;">Analyse and optimise data workflows.</li><li fr-original-style="" style="box-sizing: border-box;">Develop skills in managing cloud-based data systems.</li><li fr-original-style="" style="box-sizing: border-box;">Comprehend security measures for data protection.</li><li fr-original-style="" style="box-sizing: border-box;">Explore methods for data integration and migration.</li><li fr-original-style="" style="box-sizing: border-box;">Apply knowledge to design and implement data solutions.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" 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;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong> per copy.</p><p fr-original-style=" color: var(--text);" 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;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong> for <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong> per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong> for international students as delivery charge.</p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;diploma training is open to everyone. Specially designed for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring data engineers.</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to specialise in data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in big data technologies.</li><li fr-original-style="" style="box-sizing: border-box;">Those aiming to understand Google Cloud architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Career changers looking to enter the tech industry.</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your time to finish this Data Science Engineering: Data Analytics &amp; Database Management training, there is no deadline for the bundle.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;training can lead you towards successful careers in these related fields. Such as:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Engineer: &pound;40,000 - &pound;70,000</li><li fr-original-style="" style="box-sizing: border-box;">Cloud Solutions Architect: &pound;50,000 - &pound;90,000</li><li fr-original-style="" style="box-sizing: border-box;">Big Data Analyst: &pound;35,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Data Architect: &pound;60,000 - &pound;100,000</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Developer: &pound;40,000 - &pound;75,000</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;50,000 - &pound;85,000</li></ul></section></div>

Skill Up

Data Engineering

Big Data Analytics

Google Cloud

CPD Certified | 17-in-1 Diploma Bundle | 170 CPD Points | Free PDF & Transcript Certificate | Lifetime Access


Data Engineering: Big Data & Google Cloud Architect Diploma - CPD Certified


<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Have you ever wondered how data speaks its complex language? Are you curious to unlock the code and understand its intricate dialects? Welcome to our course - Data Analysis for Data Analyst - a comprehensive theoretical exploration of data and its manifold intricacies.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In this Data Analysis for Data Analyst course bundle, we will journey together through a diverse range of theories and concepts, from the fundamentals of data analysis to business data interpretations, MySQL database management, GDPR UK regulations, and Excel data analysis. All without touching a single tool! This expedition will empower you to comprehend data&#39;s multifaceted universe and the essential role it plays in various sectors.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With us, data is not just numbers or facts but a powerful storyteller, a strategic guide, and a rulemaker. We offer you the keys to understanding this universal language, revealing how it shapes businesses, influences decisions, and regulates processes. Join us on this enlightening path as we explore the vast, intricate world of data. Are you ready to become fluent in the language of data?</p><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;">The seven CPD Accredited courses are:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:&nbsp;</strong>Basic Data Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:</strong> Business Data Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:</strong> Learn MySQL from Scratch for Data Science and Analytics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:</strong> Diploma in Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:&nbsp;</strong>GDPR UK Training</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:</strong> Google Data Studio: Data Analytics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:</strong> Excel Data Analysis</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Grasp the foundations of data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Understand the application of data in a business context</li><li fr-original-style="" style="box-sizing: border-box;">Gain deep knowledge about MySQL for data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Acquire a working knowledge of GDPR in the UK</li><li fr-original-style="" style="box-sizing: border-box;">Enhance your data interpretation skills through Excel</li><li fr-original-style="" style="box-sizing: border-box;">Embrace a holistic understanding of the data landscape.</li></ul><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Diploma in Data Analysis Fundamentals: Learn to unravel the layers of data and extract meaningful insights.</li><li fr-original-style="" style="box-sizing: border-box;">Business Data Analysis: Decode the relationship between data and business strategies.</li><li fr-original-style="" style="box-sizing: border-box;">Learn MySQL from Scratch for Data Science and Analytics: Delve deep into the database management system MySQL, its structure, and usage in data analytics.</li><li fr-original-style="" style="box-sizing: border-box;">GDPR UK Training: Understand data protection regulations in the UK context.</li><li fr-original-style="" style="box-sizing: border-box;">Excel Data Analysis: Uncover how Excel is more than just a spreadsheet application for data analysis.</li><li fr-original-style="" style="box-sizing: border-box;">Theoretical Approach: Our course provides a theoretical exploration of data analytics, allowing you to understand data beyond its application.</li><li fr-original-style="" style="box-sizing: border-box;">Comprehensive Bundle: This well-rounded course offers a unified approach to understanding data in diverse fields.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, are you ready to unlock the language of data? Embark on this journey today!</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring data analysts keen on understanding data theories.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals looking to delve deeper into data analysis.</li><li fr-original-style="" style="box-sizing: border-box;">Business enthusiasts wanting to understand the influence of data on decision making.</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking knowledge about data protection in the UK.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Analyst - &pound;30K to &pound;45K/year</li><li fr-original-style="" style="box-sizing: border-box;">Business Analyst - &pound;35K to &pound;55K/year</li><li fr-original-style="" style="box-sizing: border-box;">Data Science Specialist - &pound;50K to &pound;70K/year</li><li fr-original-style="" style="box-sizing: border-box;">GDPR Compliance Officer - &pound;35K to &pound;55K/year</li><li fr-original-style="" style="box-sizing: border-box;">Excel Analyst - &pound;28K to &pound;42K/year</li><li fr-original-style="" style="box-sizing: border-box;">Database Administrator (MySQL focus) - &pound;40K to &pound;60K/year.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">You will get a complimentary Hard Copy Certificate.</strong></p></div>

                        </div>

NextGen Learning

Data Science

Data Analysis

Data Skills

Data Analyst

Data Analysis for Data Analyst

<strong>This compact crash course teaches learners to optimize their Microsoft Power BI use, gain insights into circular dependency errors and the new DAX functions, and use Power BI template files to enhance data modeling/analysis. The course provides guidance and real-world examples to streamline Power BI projects and achieve data visualization goals effectively.</strong>
        <p>Power BI is a powerful data visualization and analytics tool that enables users to create interactive dashboards and reports. To make the most out of your Power BI projects, ChatGPT can provide expert advice and guidance on how to effectively use Power BI, offering insights and recommendations for optimizing your Power BI projects. ChatGPT can assist in creating visually appealing visualizations, optimizing data models, and exploring advanced analytics capabilities.

This course begins with a description and introduction of ChatGPT with Power BI Desktop, its advantages and features, and the use cases in detail. You will learn about dealing with changing Excel sheet names, handling file location changes, creating and using template files, and understanding the different file structure issues. We will then explore circular dependency errors and how to fix them using Power BI. We will advance to understand multiple folder data extraction and finally explore and clearly understand the new DAX functions (Offset, Index, and Window).

Upon completing the course, you will learn to solve various problems using Excel files and Power BI Data sources and best practices; solve circular dependencies in Power BI, the M Language, and DAX functions; and use Power BI template files to enhance data modeling/analysis.

All resources are available at: https://github.com/PacktPublishing/Power-BI-Best-Project-Tips-and-Tricks-Including-Time-Saving-Tips-Using-Chat-GPT</p>
        <h2>What You Will Learn</h2><p>Learn to deal with file location changes in Power BI<br>Handle Power BI by combining Excel files with different structures<br>Efficiently extract data from multiple folders in Power BI<br>Deep dive and explore the new DAX functionality<br>Learn to handle Excel sheet renaming issues in bulk<br>Understand circular dependency errors and how to fix them</p>
        <h2>Audience</h2><p>This course is aimed at individuals wanting to become better Power BI developers or solve data issues with Excel files in Power BI. Data analysts, those wishing to follow this career path, and business users who work with Power BI and need to create DAX calculations will immensely benefit from this course. The prerequisites include having basic Power BI knowledge and attending the author's Power BI Masterclass for beginners to advanced first as an advantage. This course focuses strongly on Excel data sources and solving data issues and does not cover visualizations in Power BI Desktop.</p>
        <h2>Approach</h2><p>The course is designed to deliver classroom-style on-screen presentations and demonstrations of the various concepts to be covered during the course. This course focuses strongly on Excel data sources and solving data issues with explanations and presentations with Power BI Desktop live to understand better.</p>
        <h2>Key Features</h2><p>The course provides an in-depth conceptualization of the Power BI best tips and tricks for projects * Clearly understand circular dependency errors in relationships between tables and how to fix them * Gain mastery over Power BI multiple Excel files with different file structures and modifications</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Power-BI-Best-Project-Tips-and-Tricks-Including-Time-Saving-Tips-Using-Chat-GPT</p>
        <h2>About the Author</h2><h3>Daniel Weikert</h3><p>Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3).

He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors.

He possesses a fervent dedication to both learning and teaching. His unwavering commitment extends to providing educational services and assisting individuals in achieving their objectives, mastering their fields, and embarking on new career journeys.</p>
        <h2>Course Outline</h2><h4>1. Einf</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Power BI Best Project Tips and Tricks Introduction</p><p style='margin: 0'>This video introduces the course and offers valuable tips and tricks for data modeling in Power BI. The video sets the stage for the rest of the course, providing an overview of the topics covered and the benefits learners can expect.</p></td></tr><tr><td style='padding: 15px;'><p>2. No Issues with Changing Sheet Excel Names Anymore</p><p style='margin: 0'>This lesson offers a solution to a common problem faced by Power BI users, the need to change Excel sheet names. Following the steps outlined in the video, users can easily update sheet names without causing issues in their Power BI reports.</p></td></tr><tr><td style='padding: 15px;'><p>3. How to Handle Excel Sheet Renaming Issues in Bulk</p><p style='margin: 0'>In this video, we will discover how to manage Excel sheet renaming issues while simultaneously working with multiple files. The video provides a step-by-step guide to bulk renaming Excel sheets and demonstrates how Power BI can do this efficiently.</p></td></tr><tr><td style='padding: 15px;'><p>4. Dealing with File Location Changes in Power BI</p><p style='margin: 0'>This lecture addresses another common issue Power BI users face: file location changes. The video explains how to manage file location changes in Power BI and maintain data connections to ensure that reports continue functioning as intended.</p></td></tr><tr><td style='padding: 15px;'><p>5. Best Practice Tip Use Power BI Template Files</p><p style='margin: 0'>In this lesson, we will explore the benefits of using Power BI template files to streamline their projects. The video explains how to create and use template files effectively and provides examples of how templates can be customized to suit different needs.</p></td></tr><tr><td style='padding: 15px;'><p>6. Power BI Trouble with Combining Excel Files with a Different Structure</p><p style='margin: 0'>This video addresses a common challenge faced by Power BI users, combining Excel files with different structures. The video provides solutions for handling this issue and offers tips on structuring data effectively to avoid problems when combining files.</p></td></tr><tr><td style='padding: 15px;'><p>7. Power BI Multiple Excel Files with Different File Structures and Modification</p><p style='margin: 0'>This lecture expands on the previous video by exploring the challenges of working with multiple Excel files with different file structures and modifications. We will gain insights into managing these issues effectively in Power BI.</p></td></tr><tr><td style='padding: 15px;'><p>8. Circular Dependency Errors and How to Fix Them</p><p style='margin: 0'>This video addresses circular dependency errors in Power BI, occurring with interdependent table relationships. The video provides a step-by-step guide to identifying and resolving circular dependency errors to maintain the integrity of Power BI reports.</p></td></tr><tr><td style='padding: 15px;'><p>9. Circular Dependency Errors, Another Way to Fix It</p><p style='margin: 0'>In this video, we will discover an alternative method for resolving circular dependency errors in Power BI. The video demonstrates calculating columns to break the dependency cycle and maintain data integrity.</p></td></tr><tr><td style='padding: 15px;'><p>10. Circular Dependency Errors in Relationships Between Tables and How to Fix Them</p><p style='margin: 0'>This video delves deeper into circular dependency errors in Power BI and guides on identifying and fixing errors in the context of table relationships. We will gain valuable insights into best practices for structuring tables and relationships to avoid such errors.</p></td></tr><tr><td style='padding: 15px;'><p>11. Efficiently Extract Data from Multiple Folders in Power BI</p><p style='margin: 0'>This lesson explores the challenge of extracting data from multiple folders in Power BI and provides solutions for doing so efficiently. The video offers a step-by-step guide to identifying and connecting to data from multiple folders, helping to streamline Power BI projects.</p></td></tr><tr><td style='padding: 15px;'><p>12. Deep Dive into the New DAX Functions</p><p style='margin: 0'>This video will take a deep dive into the new DAX functions in Power BI. The video provides a comprehensive overview of the latest DAX functions and demonstrates how these can be used to enhance data modeling and analysis in Power BI.</p></td></tr></tbody></table><br><h4>2. Bonus</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. ChatGPT for Power BI Desktop</p><p style='margin: 0'>ChatGPT chatbot technology with Power BI Desktop integration allows users to interact with data and reports through NLP queries. The video provides step-by-step guidance on setting up the integration and use of ChatGPT to enhance functionality.</p></td></tr></tbody></table>

Web Development

This compact crash course teaches learners to optimize their Microsoft Power BI use, gain insights into circular dependency errors and the new DAX functions, and use Power BI template files to enhance data modeling/analysis. The course provides guidance and real-world examples to streamline Power BI projects and achieve data visualization goals effectively.

Power BI Tips and Tricks (Includes Time-Saving ChatGPT Prompts)

<strong>This course introduces you to SQL and Microsoft SQL Server in a practical way. You'll be able to learn the basics of SQL quickly and understand how to use SQL queries and statements with Microsoft SQL Server to extract data and analyze it for making productive marketing decisions.</strong>
        <p>This video course will teach you how to extract data on your own and will give you the confidence to use SQL with Microsoft SQL Server to pull data for conducting marketing analysis without relying on anyone.
The course begins with a brief introduction to SQL Server and its architecture and shows you how to install Microsoft SQL Server on your machine. Next, you'll walk through the process of finding data in the database, learn how to use SQL queries, join multiple tables, and aggregate the data. As you advance, you'll grasp the techniques used to manipulate data such as combining multiple columns and string values, extracting characters from strings, and finding the length of a string. Toward the end, you'll wrap up key SQL statements for inserting data in a table, updating records, and deleting records from a table, and get an overview of joins.
By the end of this course, you'll be well-versed with the basics of SQL and be ready to use Microsoft SQL Server to add, extract, and manipulate data for making profitable marketing decisions.</p>
        <h2>What You Will Learn</h2><p>Get to grips with the database structure<br>Develop the skills to restore a backup database<br>Discover tips and tricks for joining multiple tables<br>Find out how to insert records into the database<br>Manipulate selected data with SQL functions<br>Import and export data from SQL Server</p>
        <h2>Audience</h2><p>If you are a beginner in marketing or an experienced marketer or digital analyst looking to learn SQL to extract data for marketing purposes, this video course is for you. This course will help you to upgrade your resume, setting you apart from other candidates. Basic computer, marketing, and digital analytic skills are needed to get started with this course.</p>
        <h2>Approach</h2><p>With the help of simple narration, interesting examples, and compelling exercises, this video course prepares you to use SQL with Microsoft SQL Server for adding, extracting, and manipulating data to make smart marketing decisions.</p>
        <h2>Key Features</h2><p>Familiarize yourself with Microsoft SQL Server database fundamentals * Gain the confidence to write flawless SQL queries * Discover how to import and export data from SQL Server</p>
        
        <h2>About the Author</h2><h3>Anil Batra </h3><p>Anil Batra, founder of Global Analytics Academy and Optizent - a digital marketing and analytics consulting company, is a seasoned digital marketing and analytics professional with 15 years of experience. He has worked with companies ranging from Fortune 50 to various start-ups and has helped them improve marketing results. His customers include Microsoft, SmartMoney, ESPN, T-Mobile, Hoovers, RealNetworks, Starbucks, and TheStreet. He has taught and trained several marketing and analytics professionals in the past 9 years of teaching at UBC, University of Washington, and Bellevue College. Anil also teaches digital marketing, digital analytics, Google Analytics, Tableau, and social media courses.</p>
        <h2>Course Outline</h2><h4>1. Introduction</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 course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing the SQL Server</p><p style='margin: 0'>This video shows you how to install the SQL server.</p></td></tr><tr><td style='padding: 15px;'><p>3. Understanding the SQL Server Structure</p><p style='margin: 0'>This video explains the structure of the SQL server.</p></td></tr><tr><td style='padding: 15px;'><p>4. What is Normalization?</p><p style='margin: 0'>This video explains the concept of normalization in SQL.</p></td></tr><tr><td style='padding: 15px;'><p>5. Restoring a Backup Database with AdventureWorks</p><p style='margin: 0'>This video shows you how to restore a backup database using AdventureWorks.</p></td></tr></tbody></table><br><h4>2. Finding Data in the Database</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. SQL Query to Select Data from a Table</p><p style='margin: 0'>This video explains how to write an SQL query to select data from a table.</p></td></tr><tr><td style='padding: 15px;'><p>2. Selecting Top N records</p><p style='margin: 0'>This video explains how to select the top N records in an SQL server.</p></td></tr><tr><td style='padding: 15px;'><p>3. Narrowing Down the Result Set with the WHERE Clause</p><p style='margin: 0'>This video explains how to narrow down the result set using the WHERE clause.</p></td></tr><tr><td style='padding: 15px;'><p>4. Pattern Matching Using LIKE in the WHERE Clause</p><p style='margin: 0'>This video explains how to perform pattern matching using the LIKE operator in the WHERE clause.</p></td></tr><tr><td style='padding: 15px;'><p>5. Specifying Multiple Values from a Column Using IN in the WHERE Clause</p><p style='margin: 0'>This video explains how to specify multiple values from a column using the IN operator in the WHERE clause.</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting the Result Set</p><p style='margin: 0'>This video explains how to sort the result set.</p></td></tr><tr><td style='padding: 15px;'><p>7. Selecting a Unique Result Set</p><p style='margin: 0'>This video explains how to select a unique result set.</p></td></tr><tr><td style='padding: 15px;'><p>8. Joining Multiple Tables to Get the Desired Result Set</p><p style='margin: 0'>This video explains how to join multiple tables to get the desired result set.</p></td></tr><tr><td style='padding: 15px;'><p>9. Using Aliases in SQL</p><p style='margin: 0'>This video explains how to use aliases in SQL.</p></td></tr><tr><td style='padding: 15px;'><p>10. Aggregating the Data in SQL - COUNT, MIN, and MAX</p><p style='margin: 0'>This video demonstrates how to aggregate the data in SQL using the COUNT, MIN, and MAX functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Aggregating the Data in SQL - SUM and AVG</p><p style='margin: 0'>This video demonstrates how to aggregate the data in SQL using the SUM and AVG functions.</p></td></tr><tr><td style='padding: 15px;'><p>12. Identifying Null Values Using an Aggregate function</p><p style='margin: 0'>This video explains how to identify null values using an aggregate function.</p></td></tr><tr><td style='padding: 15px;'><p>13. Using Aggregate Functions in the WHERE Clause</p><p style='margin: 0'>This video explains how to use aggregate functions in the WHERE Clause.</p></td></tr></tbody></table><br><h4>3. Manipulating Data Using the SELECT Statement</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Combining Multiple Columns and String Values</p><p style='margin: 0'>This video demonstrates how to combine multiple columns and string values.</p></td></tr><tr><td style='padding: 15px;'><p>2. Extracting Characters from a String - Learn LEFT, RIGHT, and SUBSTRING Functions</p><p style='margin: 0'>This video explains how to extract characters from a string using the LEFT, RIGHT, and SUBSTRING functions.</p></td></tr><tr><td style='padding: 15px;'><p>3. Finding the Length of a String/Column and Position of a Character in a Column</p><p style='margin: 0'>This video explains how to find the length of a string/column and the position of a character in a column.</p></td></tr></tbody></table><br><h4>4. Other Key SQL Statements</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Inserting Values in a Table Using SQL Statements</p><p style='margin: 0'>This video explains how to insert values in a table using SQL statements.</p></td></tr><tr><td style='padding: 15px;'><p>2. Updating Records in a Table Using SQL Statements</p><p style='margin: 0'>This video explains how to update records in a table using SQL statements.</p></td></tr><tr><td style='padding: 15px;'><p>3. Deleting Records from a Table Using SQL Statements</p><p style='margin: 0'>This video explains how to delete records from a table using SQL statements.</p></td></tr><tr><td style='padding: 15px;'><p>4. Outer Join - Left and Right</p><p style='margin: 0'>This video explains how to perform left and right outer join using SQL statements.</p></td></tr></tbody></table><br><h4>5. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Conclusion</p><p style='margin: 0'>This video provides a conclusion of this course.</p></td></tr></tbody></table>

Microsoft SQL Server

Digital Marketing

Database

SQL Server

This course introduces you to SQL and Microsoft SQL Server in a practical way. You'll be able to learn the basics of SQL quickly and understand how to use SQL queries and statements with Microsoft SQL Server to extract data and analyze it for making productive marketing decisions.

SQL for Beginners with Microsoft SQL Server Database

<strong>Better than REST APIs! Build a fast and scalable HTTP/2 API for a Go microservice with gRPC and protocol buffers (protobufs)</strong>
        <p>gRPC is a new and modern framework for building scalable, modern, and fast APIs. It is leveraged by many top tech companies such as Google, Square, and Netflix and enables programmers to write microservices in any language they want while keeping the ability to easily create communications between these services. It relies on protocol buffers as the transport mechanism and the Service Definition Language.
gRPC [Golang] Master Class: Build Modern APIs and Microservices is the best way to get a great overview of all the possibilities offered by gRPC with your favourite language
&bull; Learn the gRPC theory to understand how gRPC works
&bull; Compare gRPC and the REST API paradigm
&bull; Write your gRPC service definitions in .proto files
&bull; Generate server and client Code in Golang using the Gradle gRPC plugin
&bull; Implement unary, server streaming, client streaming, and the bi-directional streaming API
&bull; Practice your learning with exercises and solutions
&bull; Implement advanced concepts such as error handling, deadlines, and SSL security
&bull; Implement a full CRUD API on top of MongoDB
&bull; Get pointers to expand your learning journey and get inspired by real-world gRPC services

This perfect gRPC course will help you simplify your APIs and clients. This is not for a total beginner, though; experience with Go is a must and experience with creating/maintaining APIs is a big plus to help you understand what is going on.

All the code files are placed at https://github.com/PacktPublishing/-gRPC-Golang-Master-Class-Build-Modern-API-and-Microservices</p>
        <h2>What You Will Learn</h2><p>&bull; Generate Server & Client Code in Golang using the protoc gRPC plugin<br>&bull; Implement unary, server streaming, client streaming, and the bi-directional streaming API<br>&bull; Practice your learning with exercises and solutions<br>&bull; Implement advanced concepts such as error handling, deadlines, and SSL security<br>&bull; Implement a full CRUD API on top of MongoDB<br>&bull; Get pointers to expand your learning journey and get inspired by real-world gRPC services.</p>
        <h2>Audience</h2><p>Developers who want to understand how to write gRPC services and clients in Golang and architects who want to understand how gRPC works and the concepts behind the different types of API.</p>
        <h2>Approach</h2><p>This course will teach you gRPC [Golang] and explores in depth, via hands-on lectures, all the topics you need to get started with gRPC.</p>
        <h2>Key Features</h2><p>&bull; Learn the gRPC theory to understand how gRPC works * &bull; Compare gRPC and the REST API paradigm * &bull; Write your gRPC service definition in .proto files</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/-grpc-golang-master-class-build-modern-api-and-microservices</p>
        <h2>About the Author</h2><h3>Stéphane Maarek</h3><p>Stéphane Maarek is a solutions architect, consultant, and software developer who has a particular interest in all things related to big data and analytics. He is also a bestseller instructor on Udemy for his courses on Apache Kafka, Apache NiFi, and AWS Lambda. He loves Apache Kafka and regularly contributes to the Apache Kafka project.

Stéphane has also written a guest blog post that was featured on the Confluent website, the company behind Apache Kafka. He is also an AWS Certified Solutions Architect and has many years of experience with technologies such as Apache Kafka, Apache NiFi, Apache Spark, Hadoop, PostgreSQL, Tableau, Spotfire, Docker, Ansible, and more.</p>
        <h2>Course Outline</h2><h4>1. gRPC Course Overview</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. gRPC Introduction</p><p style='margin: 0'>gRPC Course Overview: gRPC Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Objective</p><p style='margin: 0'>gRPC Course Overview: Course Objective</p></td></tr></tbody></table><br><h4>2. [Theory] gRPC Internals Deep Dive</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Protocol Buffers & Language Interoperability</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Protocol Buffers &amp; Language Interoperability</p></td></tr><tr><td style='padding: 15px;'><p>2. HTTP/2</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: HTTP/2</p></td></tr><tr><td style='padding: 15px;'><p>3. 4 Types of gRPC APIs</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: 4 Types of gRPC APIs</p></td></tr><tr><td style='padding: 15px;'><p>4. Scalability in gRPC</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Scalability in gRPC</p></td></tr><tr><td style='padding: 15px;'><p>5. Security in gRPC (SSL)</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Security in gRPC (SSL)</p></td></tr><tr><td style='padding: 15px;'><p>6. gRPC vs REST</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: gRPC vs REST</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary - why use gRPC</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Section Summary - why use gRPC</p></td></tr></tbody></table><br><h4>3. [Hands-On] gRPC Project Overview & Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Go Dependencies Setup</p><p style='margin: 0'>[Hands-On] gRPC Project Overview &amp; Setup: Go Dependencies Setup</p></td></tr><tr><td style='padding: 15px;'><p>2. Code Generation Test</p><p style='margin: 0'>[Hands-On] gRPC Project Overview &amp; Setup: Code Generation Test</p></td></tr><tr><td style='padding: 15px;'><p>3. Server Setup Boilerplate Code</p><p style='margin: 0'>[Hands-On] gRPC Project Overview &amp; Setup: Server Setup Boilerplate Code</p></td></tr><tr><td style='padding: 15px;'><p>4. Client Setup Boilerplate Code</p><p style='margin: 0'>[Hands-On] gRPC Project Overview &amp; Setup: Client Setup Boilerplate Code</p></td></tr></tbody></table><br><h4>4. [Hands-On] gRPC Unary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Unary API?</p><p style='margin: 0'>[Hands-On] gRPC Unary: What's a Unary API?</p></td></tr><tr><td style='padding: 15px;'><p>2. Greet API Definition</p><p style='margin: 0'>[Hands-On] gRPC Unary: Grafana + Prometheus: Greet API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Unary API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Unary: Grafana + Prometheus: Unary API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Unary API Client Implementation</p><p style='margin: 0'>[Hands-On] gRPC Unary: Grafana + Prometheus: Unary API Client Implementation</p></td></tr><tr><td style='padding: 15px;'><p>5. [Solution] Sum API</p><p style='margin: 0'>[Hands-On] gRPC Unary: Grafana + Prometheus: [Solution] Sum API</p></td></tr></tbody></table><br><h4>5. [Hands-On] gRPC Server Streaming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Server Streaming API?</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: What's a Server Streaming API?</p></td></tr><tr><td style='padding: 15px;'><p>2. GreetManyTimes API Definition</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: GreetManyTimes API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Server Streaming API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: Server Streaming API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Server Streaming API Client Implementation</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: Server Streaming API Client Implementation</p></td></tr><tr><td style='padding: 15px;'><p>5. [Solution] PrimeNumberDecomposition API</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: [Solution] PrimeNumberDecomposition API</p></td></tr></tbody></table><br><h4>6. [Hands-On] gRPC Client Streaming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Client Streaming API?</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: What's a Client Streaming API?</p></td></tr><tr><td style='padding: 15px;'><p>2. LongGreet API Definition</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: LongGreet API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Client Streaming API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: Client Streaming API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Client Streaming API Client Implementation</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: Client Streaming API Client Implementation</p></td></tr><tr><td style='padding: 15px;'><p>5. [Solution] ComputeAverage API</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: [Solution] ComputeAverage API</p></td></tr></tbody></table><br><h4>7. [Hands-On] gRPC Bi-Directional Streaming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Bi-Directional Streaming API?</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: What's a Bi-Directional Streaming API?</p></td></tr><tr><td style='padding: 15px;'><p>2. GreetEveryone API Definition</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: GreetEveryone API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Bi-Directional Streaming API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: Bi-Directional Streaming API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Bi-Directional Streaming API Client Implementation</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: Bi-Directional Streaming API Client Implementation</p></td></tr><tr><td style='padding: 15px;'><p>5. [Solution] FindMaximum API</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: [Solution] FindMaximum API</p></td></tr></tbody></table><br><h4>8. [Hands-On] gRPC Advanced Features Deep Dive</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Theory] Errors in gRPC</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Theory] Errors in gRPC</p></td></tr><tr><td style='padding: 15px;'><p>2. [Hands-On] Errors implementation</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] Errors implementation</p></td></tr><tr><td style='padding: 15px;'><p>3. [Theory] Deadlines</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Theory] Deadlines</p></td></tr><tr><td style='padding: 15px;'><p>4. [Hands-On] Deadlines</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] Deadlines</p></td></tr><tr><td style='padding: 15px;'><p>5. [Theory] SSL Security</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Theory] SSL Security</p></td></tr><tr><td style='padding: 15px;'><p>6. [Hands-On] SSL Security</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] SSL Security</p></td></tr><tr><td style='padding: 15px;'><p>7. [Demo] Language Interoperability</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Demo] Language Interoperability</p></td></tr><tr><td style='padding: 15px;'><p>8. gRPC Reflection & Evans CLI</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: gRPC Reflection &amp; Evans CLI</p></td></tr></tbody></table><br><h4>9. [Hands-On] CRUD API with MongoDB</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Install MongoDB</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Install MongoDB</p></td></tr><tr><td style='padding: 15px;'><p>2. Install MongoDB UI - Robo 3T</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Install MongoDB UI - Robo 3T</p></td></tr><tr><td style='padding: 15px;'><p>3. Blog Service Golang Setup</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Blog Service Golang Setup</p></td></tr><tr><td style='padding: 15px;'><p>4. MongoDB Driver Golang Setup</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: MongoDB Driver Golang Setup</p></td></tr><tr><td style='padding: 15px;'><p>5. CreateBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: CreateBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>6. CreateBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: CreateBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>7. ReadBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ReadBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>8. ReadBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ReadBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>9. UpdateBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: UpdateBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>10. UpdateBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: UpdateBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>11. DeleteBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: DeleteBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>12. DeleteBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: DeleteBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>13. ListBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ListBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>14. ListBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ListBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>15. Evans CLI test with CRUD</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Evans CLI test with CRUD</p></td></tr></tbody></table><br><h4>10. Next Steps</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. gRPC Services in the Real Word</p><p style='margin: 0'>Next Steps: gRPC Services in the Real Word</p></td></tr><tr><td style='padding: 15px;'><p>2. Congrats & Next Steps</p><p style='margin: 0'>Next Steps: Congrats &amp; Next Steps</p></td></tr></tbody></table>

Microservices

Better than REST APIs! Build a fast and scalable HTTP/2 API for a Go microservice with gRPC and protocol buffers (protobufs)

gRPC [Golang] Master Class: Build Modern API and Microservices

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get ready for an exceptional online learning experience with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sage, Payroll, HR, Accounting &amp; Bookkeeping </strong>bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Sage, Payroll, HR, Accounting &amp; Bookkeeping is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. 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Enrol today and start your career growth!</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;">This Bundle Comprises the Following CPD Accredited Courses:</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sage 50 Accounts</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Payroll Management and Systems Diploma</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">HR and Payroll Administrator Course</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; 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font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcome:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Gain comprehensive insights into multiple fields.</li><li fr-original-style="" style="box-sizing: border-box;">Foster critical thinking and problem-solving skills across various disciplines.</li><li fr-original-style="" style="box-sizing: border-box;">Understand industry trends and best practices through the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Sage, Payroll, HR, Accounting &amp; Bookkeeping</strong> Bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical skills applicable to real-world situations.</li><li fr-original-style="" style="box-sizing: border-box;">Enhance personal and professional growth with the<strong fr-original-style="" style="font-weight: 700; 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ThisSage, Payroll, HR, Accounting &amp; Bookkeeping bundle will take you on a unique and enriching educational journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Sage, Payroll, HR, Accounting &amp; Bookkeeping bundle offers you the flexibility and convenience to learn at your own pace. Make the Sage, Payroll, HR, Accounting &amp; Bookkeeping package your trusted companion in your lifelong learning journey.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sage, Payroll, HR, Accounting &amp; Bookkeeping</strong> bundle is perfect for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Lifelong learners looking to expand their knowledge and skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to enhance their career with CPD certification.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals wanting to explore new fields and disciplines.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone who values flexible, self-paced learning from the comfort of home.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
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                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">You will get a complimentary Hard Copy Certificate.</strong></p></div>

                        </div>

Learning & Development

Professional Skills Course (PSC)

Professional payroll & pensions qualifications (CIPP)

Sage Payroll

Accounting & Bookkeeping

Continuous Professional Development (CPD)

Sage, Payroll, HR, Accounting & Bookkeeping - 20 Courses Bundle

<h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Overview</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><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;">✿ 22-in-1 "Data Science Engineering: Data Analytics &amp; Database Management with MySQL" QLS Endorsed Diploma ✿</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK</strong>,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>&nbsp;jobs are in high demand across sectors like finance, healthcare, and technology. Entry-level data scientists typically earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;25,000 to &pound;35,000</strong>&nbsp;annually, while experienced professionals can earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;60,000 to &pound;100,000</strong>&nbsp;or more. Roles often require skills in programming (Python, R), machine learning, and data visualization.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Step into the transformative world of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, where innovation meets data. This exclusive bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>," is specially designed for learners keen on mastering the art of data analysis and database management. By immersing yourself in the complexities of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, you will gain the ability to handle vast datasets, extract meaningful insights, and effectively manage databases using MySQL.</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;">Data Science</strong>&nbsp;is the backbone of modern decision-making processes, driving business strategies and technological advancements. Through this bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL"</strong>, you will explore key concepts and methodologies that form the foundation of Data Science. From understanding data structures to performing complex data analyses and managing databases, every module is crafted to provide a thorough understanding and knowledge of Data Science principles.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle focuses on&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, ensuring you are prepared to meet the growing demand for data-savvy professionals. Whether you&#39;re aiming to advance your career or pivot to a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL&nbsp;</strong>bundle offers a pathway to success in the dynamic world of Data Science.</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;">This Data Science Engineering: Data Analytics &amp; Database Management with MySQL Bundle Consists the Following Courses:</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><a href="https://www.skill-up.org/course/data-engineering-google-bigquery-google-cloud/" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Data Engineering : Google Big Query &amp; Google Cloud</a></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with Python<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Basics<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">PowerBI Formulas</li><li fr-original-style="" style="box-sizing: border-box;">Getting Results with Power BI</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">Java script for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">The Complete Python Course: Beginner to Advanced!</li><li fr-original-style="" style="box-sizing: border-box;">Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW - Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Science Engineering: Data Analytics &amp; Database Management Bundle</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Develop a deep understanding of fundamental Data Science &amp; Big Query concepts.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in data analysis techniques using MySQL Database.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design and manage efficient databases.</li><li fr-original-style="" style="box-sizing: border-box;">Apply statistical methods to interpret complex datasets.</li><li fr-original-style="" style="box-sizing: border-box;">Master data visualisation tools to present insights effectively.</li><li fr-original-style="" style="box-sizing: border-box;">Understand the role of Data Science in business and technology sectors.</li><li fr-original-style="" style="box-sizing: border-box;">Build a solid foundation for advanced Data Science studies.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" 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;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong>&nbsp;per copy.</p><p fr-original-style=" color: var(--text);" 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;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong>&nbsp;for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong>&nbsp;per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as delivery charge.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" id="isPasted"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Hardcopy Certificate</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Hard copy certificate - &pound;129</p><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For any&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed</strong>&nbsp;courses included in the bundle, the Level wise Certificate prices are - (Should be Purchased Separately)</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Level 1 - &pound;39</li><li fr-original-style="" style="box-sizing: border-box;">Level 2 - &pound;69</li><li fr-original-style="" style="box-sizing: border-box;">Level 3 - &pound;79</li><li fr-original-style="" style="box-sizing: border-box;">Level 4 - &pound;89</li><li fr-original-style="" style="box-sizing: border-box;">Level 5 - &pound;109</li><li fr-original-style="" style="box-sizing: border-box;">Level 6 - &pound;119</li><li fr-original-style="" style="box-sizing: border-box;">Level 7 - &pound;129</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">However, Certificate delivery is&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free&nbsp;</strong>for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK&nbsp;</strong>residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as a delivery charge.</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;">Note: Skill-up is a Janets-approved resale partner for Quality Licence Scheme Endorsed courses.</strong></p><h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Description</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>" bundle is designed to provide a comprehensive introduction to Data Science. Focusing on data analysis and database management, this bundle covers key concepts, tools, and techniques essential for managing and analysing data. Learners will develop a strong foundation in Data Science, gaining skills that are in high demand across various industries. Additionally, students will learn to use MySQL to handle databases effectively, ensuring they can store, retrieve, and manipulate data efficiently. By the end of the bundle, participants will be well-equipped to tackle data-driven challenges and contribute significantly to their organisations.</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;">Here is the course curriculum for the primary Title Course in this bundle:</strong></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;">Data Engineering : Google Big Query &amp; Google Cloud</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Introduction</li><li fr-original-style="" style="box-sizing: border-box;">Introducing Data Warehouse &amp; Big Query</li><li fr-original-style="" style="box-sizing: border-box;">First Exploration</li><li fr-original-style="" style="box-sizing: border-box;">Data Flow Basic</li><li fr-original-style="" style="box-sizing: border-box;">Diving into Big Query</li><li fr-original-style="" style="box-sizing: border-box;">Virtual Data using View</li><li fr-original-style="" style="box-sizing: border-box;">Data Visualization</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate Query<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">----------and 21 more Courses----------</strong></p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle is open to everyone. Specially for-</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring Data Science Engineer, Scientists</li><li fr-original-style="" style="box-sizing: border-box;">Professionals transitioning to Data Science roles</li><li fr-original-style="" style="box-sizing: border-box;">Business analysts looking to enhance data analysis skills</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to expand their expertise</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing a career in Data Science</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock diverse career opportunities with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management (MySQL)</strong>&nbsp;bundle. Explore these lucrative paths:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Scientist: &pound;45,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Database Administrator: &pound;37,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;30,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst: &pound;35,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Marketing Analyst: &pound;28,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Research Analyst: &pound;27,000 per year</li></ul></section></div></div></div></div>

Database Management

Level-7 QLS Endorsed | 22-in-1 Diploma Bundle| Free CPD PDF+ Transcript Certificate| Lifetime Access| Learner Support


Data Science Engineering: Data Analytics & Database Management with MySQL - QLS Endorsed

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

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

Course Curriculum
Module 01_ Data Analytics
Data Analytics

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

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

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

00:00
Module 05_ Tableau Worksheets
Tableau Worksheets

00:00
Module 06_ Tableau Calculations
Tableau Calculations

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

00:00
Module 08_ Tableau Charts
Tableau Charts

00:00
Module 09_ Tableau Advanced
Tableau Advanced

00:00

Compete High

Tableau Desktop Specialist

Diploma in Education & Training (DET)

Tableau

Trainers Course

Diploma in Data Analytics In Tableau

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

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

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

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

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

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

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

Academy for Health and Fitness

Business Analytics & Intelligence

Data Analytics with Tableau

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

Nexus Human

Excel Analytics

Data Visualization

Data Studio

Tableau Desktop - Part 1

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

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

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

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

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

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

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

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

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

Learn Tableau and Ace the Tableau Certified Data Analyst Exam

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

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

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

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

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

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

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

Learn Tableau and Ace the Tableau Desktop Specialist Exam

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

Tableau Desktop - Part 2

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

Tableau for Data-Driven Decision Makers

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

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

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

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

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

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

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

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

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

Tableau Prep Builder for Beginners - Getting Started

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

Ultimate Tableau Desktop Course - Beginner to Advanced Bundle

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

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

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

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

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