Name: Power BI Masterclass 2023
Price: 82.99 GBP
Availability: InStock

<p><strong>***Limited Time Exclusive Bundle***</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now</strong></p><p>Tired of browsing and searching for a <strong>Database Administrator </strong> course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Database Administrator bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Database Administrator course that will enhance your skills and prepare you for the competitive job market.</p><p>Also, our experts are available for answering your queries on Database Administrator and help you along your learning journey. Advanced audio-visual learning modules of these Database Administrator courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p><p>Furthermore, to help you showcase your expertise in Database Administrator, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Database Administrator Bundle Consists of the following Premium courses:</strong></p><ul><li><strong> </strong><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 02: </strong>Data Center Training Essentials: General Introduction</li><li><strong> </strong><strong>Course 03: </strong>Data Analytics with Tableau<strong><br /></strong></li><li><strong> </strong><strong>Course 04: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong> </strong><strong>Course 06: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 07: </strong>Data Analysis in Excel Level 3 Course</li><li><strong> </strong><strong>Course 08: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> </strong><strong>Course 09: </strong>GDPR Data Protection Level 5</li><li><strong> </strong><strong>Course 10: </strong>Level 3 Cyber Security</li><li><strong> </strong><strong>Course 11: </strong>Encryption</li><li><strong> </strong><strong>Course 12: </strong>Windows 10 Pro Complete Training</li><li><strong> </strong><strong>Course 13: </strong>Functional Skills IT</li><li><strong> </strong><strong>Course 14: </strong>Learning Computers and Internet Level 2</li></ul><p><strong>Benefits you'll get choosing Apex Learning:</strong></p><ul><li>Pay once and get lifetime access to 14 CPD courses</li><li>Free e-Learning App for engaging reading materials &amp; helpful assistance</li><li>Certificates, student ID for the title 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 at your ease - anytime, from anywhere</li><li>Study the course from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li><li>Gain valuable knowledge without leaving your home</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> </strong><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong> </strong><strong>Hard Copy Certificate: Free (For The Title Course)</strong></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 Database Administrator expertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum of Bundle </strong></p><p><strong> Course 01: Introduction to Data Analysis</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Agenda and Principles of Process Management</li><li>Module 03: The Voice of the Process</li><li>Module 04: Working as One Team for Improvement</li><li>Module 05: Exercise: The Voice of the Customer</li><li>Module 06: Tools for Data Analysis</li><li>Module 07: The Pareto Chart</li><li>Module 08: The Histogram</li><li>Module 09: The Run Chart</li><li>Module 10: Exercise: Presenting Performance Data</li><li>Module 11: Understanding Variation</li><li>Module 12: The Control Chart</li><li>Module 13: Control Chart Example</li><li>Module 14: Control Chart Special Cases</li><li>Module 15: Interpreting the Control Chart</li><li>Module 16: Control Chart Exercise</li><li>Module 17: Strategies to Deal with Variation</li><li>Module 18: Using Data to Drive Improvement</li><li>Module 19: A Structure for Performance Measurement</li><li>Module 20: Data Analysis Exercise</li><li>Module 21: Course Project</li><li>Module 22: Test your Understanding</li></ul><p><strong> Course 02: Data Center Training Essentials: General Introduction</strong></p><ul><li>Module 01: Data Center Introduction</li><li>Module 02: Data Center Reliability</li><li>Module 03: Data Center Equipment</li><li>Module 04: Data Center White Space</li><li>Module 05: Data Center Support Spaces</li><li>Module 06: Data Center Security, Safety, Networks and IT</li></ul><p><strong> Course 03: Data Analytics with Tableau</strong></p><ul><li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul><p><strong> Course 04: Basic Google Data Studio</strong></p><ul><li>Module 01: Introduction to GDS</li><li>Module 02: Data Visualization</li><li>Module 03: Geo-visualization</li><li>Module 04: A Socio-Economic Case Study</li></ul><p><strong> Course 05: Complete Google Analytics Course</strong></p><ul><li>Module 01: Overview</li><li>Module 02: Navigation and Admin</li><li>Module 03: Creating a New Google Analytics Account</li><li>Module 04: Website Account Creation</li><li>Module 05: Connecting To WordPress Website</li><li>Module 06: Connecting To HTML Site</li><li>Module 07: Connect Custom Page and Site Builders</li><li>Module 08: Setting Up Annotations</li><li>Module 09: Setting Up Intelligence Events</li><li>Module 10: Set Up Custom Segments</li><li>Module 11: Export Data for Analysis</li><li>Module 12: Set Up Custom Reports</li><li>Module 13: Set Up Google Integrations</li><li>Module 14: Google Analytics Templates</li><li>Module 15: Real Time Reporting</li><li>Module 16: Setting Up Goals</li><li>Module 17: Third Party Integrations</li><li>Module 18: Audience Menu Overview</li><li>Module 19: Interests and Geography</li><li>Module 20: Conclusion</li></ul><p><strong> Course 06: Python for Data Analysis</strong></p><ul><li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems with Python - (Additional Topic)</li><li>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul><p><strong> Course 07: Data Analysis in Excel Level 3 Course</strong></p><ul><li>Modifying a Worksheet</li><li>Working with Lists</li><li>Analyzing Data</li><li>Visualizing Data with Charts</li><li>Using PivotTables and PivotCharts</li><li>Working with Multiple Worksheets and Workbooks</li><li>Using Lookup Functions and Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines and Mapping Data</li><li>Forecasting Data</li></ul><p><strong> Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong></p><ul><li>Introduction</li><li>Prepaid Expenses Models: Resources Download</li><li>Accounting for Prepaid Expenses</li><li>Excel Formulas Detailed: Introduction to three Excel Models</li><li>Formula Based Prepaid Expenses Model</li><li>Calculate Prepaid Expenses Amortisation from Exact Start Date</li><li>Prepaid Expenses Summary with Power Query and Pivot Table</li><li>Advanced VBA Prepaid Expenses Amortisation Model</li><li>BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way</li><li>Power Query &amp; Pivot Tables based Dashboard without any Formulas, Fully Dynamic</li><li>Thankyou</li></ul><p><strong> Course 09: GDPR Data Protection Level 5</strong></p><ul><li>Module 01: GDPR Basics</li><li>Module 02: GDPR Explained</li><li>Module 03: Lawful Basis for Preparation</li><li>Module 04: Rights and Breaches</li><li>Module 05: Responsibilities and Obligations</li></ul><p><strong> Course 10: Level 3 Cyber Security</strong></p><ul><li>FUNDAMENTALS OF NETWORKING</li><li>GETTING STARTED WITH CYBER SECURITY</li><li>LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY</li><li>DIVING DEEP INTO CYBER SECURITY</li><li>TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES</li><li>FIREWALLS AND ANTIVIRUS</li><li>KEY SECURITY CONCEPTS</li></ul><p><strong> Course 11: Encryption</strong></p><ul><li>Section 01: Introduction</li><li>Section 02: Basics of Common Encryption</li><li>Section 03: Technical Aspects of Encryption</li><li>Section 04: AES Basic Tech Demo</li><li>Section 05: File and System Encryption</li><li>Section 06: Conclusion</li></ul><p><strong> Course 12: Windows 10 Pro Complete Training</strong></p><ul><li>Module 01: Course Overview</li><li>Module 02: Building Your Virtual Lab Environment</li><li>Module 03: Upgrading Windows 7, 8, or 8.1 to Windows 10</li><li>Module 04: Building a Microsoft Server 2016 Domain</li><li>Module 05: Windows Deployment Services (WDS)</li><li>Module 06: Windows 10 Firewall, Windows Defender and UAC</li><li>Module 07: Networking</li><li>Module 08: Troubleshooting</li><li>Module 09: User Preferences</li><li>Module 10: Maintenance</li></ul><p><strong> Course 13: Functional Skills IT</strong></p><ul><li>Section 1: Introduction</li><li>Section 2: Information Technology</li><li>Section 3: Components of IT</li><li>Section 4: Hardware</li><li>Section 5: Operating System</li><li>Section 6: Application/Software</li><li>Section 7: Networking</li><li>Section 8: Security</li><li>Section 9: Traffic Flow &amp; Enterprise Level IT Components</li><li>Section 10: Storage</li><li>Section 11: Database</li><li>Section 12: Virtualisation &amp; Cloud</li><li>Section 13: Management &amp; Other IT Jobs</li></ul><p><strong> Course 14: Learning Computers and Internet Level 2</strong></p><ul><li>Module 01 : Computer Operating and Troubleshooting</li><li>Module 02 : Internet and Computing - Key Applications</li><li>Module 03 : Internet and Computing - Tools &amp; Networking</li><li>Module 04 : Windows 8 for PC</li><li>Module 05 : Windows 10 - New Developments</li><li>Module 06 : Cyber Security Awareness</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Database Administrator bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our Database Administrator course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this Database Administrator expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p> </div>

                        </div>

Apex Learning

Database Administrator Courses

General Admission

<p><strong>Start Your Journey to Becoming a Data Analyst Expert Today, and Make Up to •75,000<br /></strong><br />The <strong>data analytics</strong> field is growing rapidly, and there is a high demand for qualified data analysts. With our Data Analyst Program, you can learn the skills you need to succeed in this exciting field. We will help you until you find a job, so you won't have to worry about a thing. Just gain knowledge and learn skills, getting you a job is our duty. Enrol today and take your career to the next level!</p><p>With our program, we go above and beyond traditional training. We understand that landing a job isn't just about having the right skills-<strong>it's about having the right support system by your side</strong>. That's why we are committed to being with you every step of the way, from your <strong>job search</strong> to your ultimate success<strong>.</strong><br /><br /></p><p><strong>Why Choose Us</strong></p><p>Here's what makes our Data Analyst Program stand out from the crowd:</p><ul><li><strong>Personalised Job Search Assistance:</strong> We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed.</li></ul><ul><li><strong>Expertly Crafted CV:</strong> Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition.</li></ul><ul><li><strong>Strategic Placement:</strong> We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals.</li></ul><ul><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the data analysis field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse.</li></ul><ul><li><strong>Comprehensive Skill Development:</strong> Our program is designed to equip you with the most sought-after skills in data analysis. From mastering cutting-edge tools to honing your analytical prowess, we'll ensure you have the knowledge and expertise to excel in any data-driven environment.</li></ul><p><strong>Here are the 25 courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Data Analysis</li><li>Course 02: Data Science &amp; Machine Learning with R</li><li>Course 03: Data Analytics with Tableau</li><li>Course 04: SQL Programming</li><li>Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li>Course 06: Data Analytics</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Google Analytics</li><li>Course 09: Business Intelligence and Data Mining</li><li>Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 11: JavaScript Functions</li><li>Course 12: Data Protection and Data Security (GDPR) Training Certification</li><li>Course 13: GDPR Training</li><li>Course 14: Diploma in Python Programming</li><li>Course 15: Data Center Training Essentials: General Introduction</li><li>Course 16: Quick Data Science Approach from Scratch</li><li>Course 17: Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 18: Master JavaScript with Data Visualization</li><li>Course 19: Data Analysis and Forecasting in Excel</li><li>Course 20: AWS Certified Solutions Architect Associate Preparation</li><li>Course 21: Statistical Analysis Course</li><li>Course 22: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 23: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 24: Data Analysis &amp; Forecasting</li><li>Course 25: Data Structure</li></ul><p>These courses will help you to develop your knowledge and skills to become a successful data analyst.</p> <p>The Program is completed in 5 easy steps:</p><p><strong>Step 1 - Enrol in the program and start learning from the courses we provide</strong></p><p>After you enrol in the Data Analyst Program, you will get lifetime access to 25 premium courses related to data analysis. These courses will teach you the knowledge and skills required to become a successful data analyst. Our customer service team will help you and keep in contact with you every step of the way.</p><p><strong>Step 2 - Complete your courses and get certifications</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 3 - Get a consultation session from a professional data analyst</strong></p><p>Take your data analysis skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward.</p><p><strong>Step 4 - Complete the CV and attend the interview</strong></p><p>Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your IT career with a starting salary ranging from •25,000 to •40,000 annually. Step into the IT industry with the assurance of a promising future.</p><p><strong>Step 5 - We will not leave you until you get a job</strong></p><p>Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in data analysis.</p><p>Don't let your dream career as a data analyst remain out of reach. You just have to learn and gain knowledge and skills. Finding a job is our task! We will remove most of your worries and help you focus on only developing your skills. So join our Data Analyst Program today, and let us be your trusted partner on your journey to success.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Analyst Program is ideal for:</p><ul><li>Aspiring data analysts eager to launch a successful career in the field.</li><li>Recent graduates seeking practical skills and industry insights to stand out in a competitive job market.</li><li>Professionals looking to transition into the dynamic world of data analysis and capitalise on emerging opportunities.</li><li>Individuals with a passion for numbers, problem-solving, and uncovering meaningful insights from complex datasets.</li><li>Job seekers seeking comprehensive support and guidance throughout the entire job searching and job finding process.</li></ul><p><strong>Please Note</strong>: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>Our Data Analyst Program equips you with the skills to excel in data analysis roles. You'll thrive as a data analyst, data scientist, business analyst, or market research analyst, unlocking opportunities in diverse industries such as finance, healthcare, e-commerce, and technology.</p><p>Act now, and let us guide you towards a brighter future. Enrol today!</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>The Quality Licence Scheme Endorsed Certificate of Achievement</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Studyhub UK

Business Analyst

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Analyst

Certified Data Analyst Pathway  - Job Ready Program with Career & Money Back Guarantee

<strong>An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.</strong>
        <p>Microsoft Power BI is an advanced yet easy-to-get-started self-service business analytics/business intelligence solution. Power BI is also a great tool for data science. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore, learning to use this tool can be a valuable skill for data science jobs.

This course is divided into six sections. We will first start with understanding DAX table calculations with Power BI Desktop and Excel and master DAX. In the second section, we will learn Microsoft Power BI tips and tricks from project experience and research. In the third section, we will be solving data prep challenges. In the fourth section, we will master advanced DAX calculations and build on your acquired knowledge from the prior sections.

In section five, we will be combining data science tools such as Python with Power BI. In the last section, we will cover Power BI best practices, Power BI Calculation Groups, Power BI Charticulator, Power BI performance tips, and Power BI AI.

By the end of this course, you will have the skills and capabilities to analyze and understand data with Power BI.

The complete course bundle is available at https://github.com/PacktPublishing/Power-BI-Masterclass</p>
        <h2>What You Will Learn</h2><p>Understand DAX Logic and Table Calculations<br>Learn Power BI tips and tricks from project experience and research<br>Solve common Power BI data preparation issues<br>Learn how to improve the look and feel of standard dashboards<br>Combine data science tools such as Python with Power BI<br>Learn how to start creating your own custom visuals without coding</p>
        <h2>Audience</h2><p>The course is not meant for total beginners. You should have some prior knowledge of Power BI. This course is for data analysts and everyone who strives for a career in data analytics.</p>
        <h2>Approach</h2><p>This is a hands-on course where we will use Microsoft Power BI Desktop to gain skills that would help us analyze and understand data.</p>
        <h2>Key Features</h2><p>Learn to handle many-to-many relationships in Power BI * Master DAX and use Python with data science tools * Learn additional tips and tricks to improve your skills</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Power-BI-Masterclass</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. DAX, Excel, and More</h4><p></p><br><h4>2. Additional Tips and Tricks</h4><p></p><br><h4>3. Solving Data Prep Challenges</h4><p></p><br><h4>4. DAX, R, and Gateways</h4><p></p><br><h4>5. Python Finance and Advanced DAX</h4><p></p><br><h4>6. The Next Level</h4><p></p>

Packt

Data Analysis

An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.

Power BI Masterclass

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Data Science and Data Analytics</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong> 33</strong> course mega bundle that will exceed your expectations within your budget.</p><p>The<strong> Data Science and Data Analytics</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong>Data Science and Data Analytics</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p><p><strong>This Data Science and Data Analytics Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p><ul><li>Course 01:SQL Programming Masterclass</li><li>Course 02:SQL Server for Beginners</li><li>Course 03:SQL NoSQL Big Data and Hadoop</li><li>Course 04:Microsoft SQL Server Development for Everyone</li><li>Course 05:Javascript Programming for Beginners</li><li>Course 06:Master JavaScript with Data Visualization</li><li>Course 07:Computer Vision: C++ and OpenCV with GPU support</li><li>Course 08:Functional Skills IT</li><li>Course 09:CompTIA Healthcare IT Technician</li><li>Course 10:Basic Google Data Studio</li><li>Course 11:Data Analytics with Tableau</li><li>Course 12:Recovering from a Job Loss in Technology</li><li>Course 13:AutoCAD Programming using C# with Windows Forms</li><li>Course 14:AutoCAD Programming using VB.NET with Windows Forms</li><li>Course 15:AutoCAD to Excel - VBA Programming Hands-On!</li><li>Course 16:AutoCAD VBA Programming - Beginner course</li><li>Course 17:IT Support Technician Training</li><li>Course 18:Admin Support Assistant</li><li>Course 19:Building Your Own Computer Course</li><li>Course 20:Neuro-linguistic Programming (NLP) Diploma</li><li>Course 21:Cyber Security Incident Handling and Incident Response</li><li>Course 22:Computer Networks Security</li><li>Course 23:IT Asset Department</li><li>Course 24:C# Programming - Beginner to Advanced</li><li>Course 25:jQuery: JavaScript and AJAX Coding Bible</li><li>Course 26:Kotlin Programming : Android Coding</li><li>Course 27:Quick Data Science Approach from Scratch</li><li>Course 28:Secure Programming of Web Applications</li><li>Course 29:A-Frame Web VR Programming</li><li>Course 30:Complete AutoLISP Programming</li></ul><p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p><ul><li>Course 01: Career Development Plan Fundamentals</li><li>Course 02: CV Writing and Job Searching</li><li>Course 03: Interview Skills: Ace the Interview</li></ul><p><strong>Learning Outcome</strong></p><p><strong>This tailor-made </strong><strong>Data Science and Data Analytics</strong><strong> bundle will allow you to-</strong></p><ul><li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Data Science and Data Analytics Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p><p><strong>Certification</strong></p><p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Science and Data Analytics bundle! This bundle is also ideal for professionals looking for career advancement.</p><p><strong>Please Note</strong>: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

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

Professional Skills Course (PSC)

Data Skills

Trainers Course

Data Science and Data Analytics

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Computer Programming and Data Analysis and Management</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>33</strong> course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Computer Programming and Data Analysis and Management</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong> Computer Programming and Data Analysis and Management</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Computer Programming and Data Analysis and Management Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 01: C++ Development: The Complete Coding Guide</li><li>Course 02: Basic C# Coding</li><li>Course 03: Computer Vision: C++ and OpenCV with GPU support</li><li>Course 04: Python Basic Programming for Absolute Beginners</li><li>Course 05: Python Programming for Everybody</li><li>Course 06: Intermediate Python Coding</li><li>Course 07: Quick Data Science Approach from Scratch</li><li>Course 08: Root Cause Analysis</li><li>Course 09: Google Data Studio: Data Analytics</li><li>Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 11: Business Intelligence and Data Mining Masterclass</li><li>Course 12: Level 2 Microsoft Office Essentials</li><li>Course 13: SQL NoSQL Big Data and Hadoop</li><li>Course 14: Introduction to Data Analysis</li><li>Course 15: Data Science and Visualisation with Machine Learning</li><li>Course 16: Data Analytics with Tableau</li><li>Course 17: R Programming for Data Science</li><li>Course 18: Complete Google Analytics Course</li><li>Course 19: JavaScript Promises</li><li>Course 20: JavaScript Foundations for Everyone</li><li>Course 21: Javascript for Data Structures</li><li>Course 22: jQuery Masterclass Course: JavaScript and AJAX Coding Bible</li><li>Course 23: Microsoft SQL Server Development for Everyone</li><li>Course 24: SQL Programming Masterclass</li><li>Course 25: Level-3 Machine Learning Course with Python</li><li>Course 26: Learn to Use Python for Spatial Analysis in ArcGIS</li><li>Course 27: Microsoft Azure Machine Learning</li><li>Course 28: Javascript Programming for Beginners</li><li>Course 29: Basic Asynchronous JavaScript</li><li>Course 30: JavaScript Functions</li></ul> <p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 01: Career Development Plan Fundamentals</li><li>Course 02: CV Writing and Job Searching</li><li>Course 03: Interview Skills: Ace the Interview</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Computer Programming and Data Analysis and Management</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Computer Programming and Data Analysis and Management Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                             <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Computer Programming and Data Analysis and Management bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

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

Microsoft Certification

Computing Skills

Computing & Software Development Tools

Computer Programming

Computer Skills

Computer Programming and Data Analysis and Management

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Data Science &amp; Machine Learning with R</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>33</strong> course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Data Science &amp; Machine Learning with R</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong> StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong>Data Science &amp; Machine Learning with R</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Data Science &amp; Machine Learning with R Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 01 :R Programming for Data Science</li><li>Course 02 :Data Science &amp; Machine Learning with R</li><li>Course 03 :Quick Data Science Approach from Scratch</li><li>Course 04 :Secure Programming of Web Applications</li><li>Course 05 :Build WebXR, VR and AR, experiences using Three.JS</li><li>Course 06 :Complete AutoLISP Programming</li><li>Course 07 :Javascript Programming for Beginners</li><li>Course 08 :Master JavaScript with Data Visualization</li><li>Course 09 :jQuery: JavaScript and AJAX Coding Bible</li><li>Course 10 :Kotlin Programming : Android Coding</li><li>Course 11 :SQL Programming Masterclass</li><li>Course 12 :SQL Server for Beginners</li><li>Course 13 :SQL NoSQL Big Data and Hadoop</li><li>Course 14 :Microsoft SQL Server Development for Everyone</li><li>Course 15 :C# Programming - Beginner to Advanced</li><li>Course 16 :AutoCAD Programming using C# with Windows Forms</li><li>Course 17 :AutoCAD Programming using VB.NET with Windows Forms</li><li>Course 18 :AutoCAD to Excel - VBA Programming Hands-On!</li><li>Course 19 :AutoCAD VBA Programming - Beginner course</li><li>Course 20 :Cyber Security Incident Handling and Incident Response</li><li>Course 21 :Computer Networks Security</li><li>Course 22 :IT Asset Department</li><li>Course 23 :IT Support Technician Training</li><li>Course 24 :Admin Support Assistant</li><li>Course 25: Computer Vision: C++ and OpenCV with GPU support</li><li>Course 26: Functional Skills IT</li><li>Course 27: CompTIA Healthcare IT Technician</li><li>Course 28: Basic Google Data Studio</li><li>Course 29: Data Analytics with Tableau</li><li>Course 30: Recovering from a Job Loss in Technology</li></ul> <p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 01 :Career Development Plan Fundamentals</li><li>Course 02 :CV Writing and Job Searching</li><li>Course 03 :Interview Skills: Ace the Interview</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Data Science &amp; Machine Learning with R</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge </li><li>Acquire some hard and soft skills in this area </li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software </li><li>Keep records of your work and make a report </li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field </li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Data Science &amp; Machine Learning with R Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                             <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Science &amp; Machine Learning with R bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Data Science &amp; Machine Learning with R</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

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

Learning & Development

Data Science & Machine Learning with R

<p><em><strong>48-Hour Knowledge Knockdown! Prices Reduced Like Never Before!</strong></em></p><p>Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success.</p><p>Get <strong>Free</strong> 1 QLS Endorsed Course <strong>with Certificate</strong> &amp; 10 Additional CPD Accredited Courses In A Single Payment.</p><p><strong>This Data Analyst (Data Analytics) Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Data Analysis <strong>at QLS Level 5</strong></li></ul><p><strong>10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) -</strong></p><ul><li><strong>Course 01:</strong> Data Analytics with Tableau</li><li><strong>Course 02:</strong> Data Science &amp; Machine Learning with R</li><li><strong>Course 03:</strong> Excel Pivot table for Data analytics</li><li><strong>Course 04</strong>: JavaScript Functions for Data Analyst</li><li><strong>Course 05:</strong> Data analytics with Excel</li><li><strong>Course 06:</strong> Mastering SQL Programming for Data Analyst</li><li><strong>Course 07:</strong> Google Data Studio</li><li><strong>Course 08:</strong> Business Intelligence and Data Mining for Data Analyst</li><li><strong>Course 09:</strong> GDPR Training</li><li><strong>Course 10:</strong> Learn Programming with Python</li></ul><p><strong>Learning outcome of this Data Analyst (Data Analytics) Bundle:</strong></p><ul><li>Apply data analyst techniques to modify worksheets effectively.</li><li>Utilise data analyst strategies for working with lists.</li><li>Demonstrate proficiency in analyzing data as a data analyst.</li><li>Visualize data using charts as a data analyst.</li><li>Employ PivotTables and Pivot Charts for complex Data Analyst</li><li>Manage multiple worksheets and workbooks efficiently as a data analyst.</li><li>Use lookup functions and formula auditing for accurate Data Analyst</li></ul> <p><strong>Why Prefer This Data Analyst (Data Analytics) Bundle?</strong></p><ul><li>FREE certificate on Data Analyst (Data Analytics)accredited by <strong>CPDQS</strong></li><li>Get instant access to this Data Analyst (Data Analytics) course.</li><li>Learn Data Analyst (Data Analytics) from anywhere in the world</li><li>Data Analyst (Data Analytics) is affordable and simple to understand</li><li>Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Analyst (Data Analytics) bundle materials</li><li>Data Analyst (Data Analytics) comes with 24/7 tutor support</li><li>Free assessments available with Data Analyst (Data Analytics)</li><li>Get a <strong>free student ID card!</strong> with Data Analyst (Data Analytics)</li></ul><p><strong>Assessment Process of Data Analyst (Data Analytics) Course:</strong></p><p>You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics)</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to take this Data Analyst (Data Analytics)</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst</li><li>Retail Data Analyst</li><li>Statistical Data Analyst</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Diploma in Data Analysis at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Academy for Health and Fitness

Data Analyst (Data Analytics) Endorsed Diploma

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> The Complete Cyber Security Course: Securing Network! </strong>bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>40</strong> course mega bundle that will exceed your expectations within your budget.</p><p>The<strong> The Complete Cyber Security Course: Securing Network! </strong>related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong> The Complete Cyber Security Course: Securing Network! </strong>bundle will help you build a solid foundation to become a proficient worker in the sector.</p><p><strong>This The Complete Cyber Security Course: Securing Network! Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p><ul><li>Course 01 :Cyber Security Level 3</li><li>Course 02 :Cyber Security Incident Handling and Incident Response</li><li>Course 03 :Digital Forensics for Cyber Professionals</li><li>Course 04 :Computer Networks Security</li><li>Course 05 :IT Support Technician</li><li>Course 06 :Diploma in Computer Programming</li><li>Course 07 :C# Programming - Beginner to Advanced</li><li>Course 08 :Quick Data Science Approach from Scratch</li><li>Course 09 :Secure Programming of Web Applications</li><li>Course 10 :Build WebXR, VR and AR, experiences using Three.JS</li><li>Course 11 :Complete AutoLISP Programming</li><li>Course 12 :AutoCAD Programming using C# with Windows Forms</li><li>Course 13 :AutoCAD Programming using VB.NET with Windows Forms</li><li>Course 14 :Functional Skills IT</li><li>Course 15 :CompTIA Healthcare IT Technician</li><li>Course 16 :Linux Shell Scripting</li><li>Course 17 :Bash Scripting, Linux and Shell Programming</li><li>Course 18 :Coding with Scratch</li><li>Course 19 :CSS Coding</li><li>Course 20 :Master JavaScript with Data Visualization</li><li>Course 21 :SQL Programming Masterclass</li><li>Course 22 :Python Programming for Everybody</li><li>Course 23 :Javascript Programming for Beginners</li><li>Course 24 :jQuery: JavaScript and AJAX Coding Bible</li><li>Course 25: Kotlin Programming : Android Coding</li><li>Course 26: Sensors</li><li>Course 27: Remote Sensing in ArcGIS</li><li>Course 28: Basic Google Data Studio</li><li>Course 29: Data Analytics with Tableau</li><li>Course 30: Recovering from a Job Loss in Technology</li></ul><p><strong>10 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p><ul><li>Course 01 :Career Development Plan Fundamentals</li><li>Course 02 :CV Writing and Job Searching</li><li>Course 03 :Interview Skills: Ace the Interview</li><li>Course 04 :Video Job Interview for Job Seekers</li><li>Course 05 :Create a Professional LinkedIn Profile</li><li>Course 06 :Business English Perfection Course</li><li>Course 07 :Networking Skills for Personal Success</li><li>Course 08 :Boost Your Confidence and Self-Esteem</li><li>Course 09 :Public Speaking Training</li><li>Course 10 :Learn to Fight Procrastination</li></ul><p><strong>Learning Outcome</strong></p><p><strong>This tailor-made </strong><strong>The Complete Cyber Security Course: Securing Network! </strong><strong>bundle will allow you to-</strong></p><ul><li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This The Complete Cyber Security Course: Securing Network! Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p><p><strong>Certification</strong></p><p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the The Complete Cyber Security Course: Securing Network! bundle! This bundle is also ideal for professionals looking for career advancement. </p><ul><li>NCFE Level 2 Certificate in the Principles of Cyber Security</li><li>NCFE Level 3 Certificate in Cyber Security Practices</li><li>Cisco Cybersecurity Specialist<br /></li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in The Complete Cyber Security Course: Securing Network!</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

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

Certified in Cybersecurity (CC)

Certificate in Information Security Management Principles (CISMP)

Network & Security

Cyber Security

Cyber Security Foundation

Compliance Central

Market Research Analyst Advanced Diploma

<strong>This comprehensive course delves deep into Power BI, guiding you through essential skills such as interactive reporting, DAX calculations, and advanced data modelling. From enabling interactive features to crafting insightful reports, gain the expertise needed to harness Power BI's full potential and excel in data analysis and visualization.</strong>
        <p>Welcome to the Power BI masterclass! This masterclass course is designed to equip you with the expertise needed to leverage Power BI effectively. Throughout this course, we will guide you through a multifaceted journey, unraveling the intricacies of Power BI step by step.

Starting with the fundamentals, we will explore the Power BI interface and its various features. We will learn how to create visually engaging reports and gain insights into advanced dataset management. We will also delve into DAX calculations, time intelligence, and data modelling to elevate our analytical capabilities.

The course comprises three sections, each building upon the last. In the first section, we will discover how to enable interactive features, navigate the interface, create dynamic reports, and employ data manipulation techniques. Advanced dataset management and DAX calculations await us in the second section, enabling us to tackle complex data challenges.

In the third section, we will dive into the heart of Power BI, mastering the art of creating a robust data model. Learn how to transform and structure data efficiently, connect dimension tables, and add critical elements such as a dates table.

By the end of this course, we will be proficient in harnessing Power BI's capabilities to turn raw data into actionable insights.</p>
        <h2>What You Will Learn</h2><p>Build visually engaging and dynamic reports<br>Explore complex data transformations and manipulations<br>Understand DAX calculations and time-based analysis<br>Create robust data models for effective insights<br>Explore buttons, bookmarks, and drill-through functionalities<br>Clean, transform, and enrich data efficiently</p>
        <h2>Audience</h2><p>This course caters to aspiring data analysts, business professionals, and anyone eager to harness the potential of Power BI for data-driven decision-making. No prior experience with Power BI is necessary; we start from the fundamentals. Basic familiarity with data concepts and Microsoft Office tools is beneficial but not mandatory. As we progress, you will gain comprehensive skills in data modelling, DAX calculations, and report creation.</p>
        <h2>Approach</h2><p>Our course employs a hands-on, practical approach. You will learn by doing, with each section and video, building your Power BI skills. From interface exploration to advanced data modelling, you will actively engage with the tools and techniques. Real-world scenarios and examples ensure that you are ready to apply your knowledge confidently.</p>
        <h2>Key Features</h2><p>Master everything from interface basics to advanced modelling * Dive into practical, real-world examples for effective skill development * Learn to structure data, create relationships, and build robust models</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Power-BI-Masterclass-2023</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. Power BI Essentials and Advanced Techniques</h4><p></p><br><h4>2. Powering Up Your Power BI Skills</h4><p></p><br><h4>3. Data Modelling Essentials</h4><p></p>

Power Query

This comprehensive course delves deep into Power BI, guiding you through essential skills such as interactive reporting, DAX calculations, and advanced data modelling. From enabling interactive features to crafting insightful reports, gain the expertise needed to harness Power BI's full potential and excel in data analysis and visualization.

Power BI Masterclass 2023

<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

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.

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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