This All-in-One draws on the work of top authors in the For Dummies series who've created books designed to help data professionals do their work. The experts are Jack Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Jonathan Reichental PhD, Joseph Schmuller PhD, Alan Simon, and Allen G. Taylor.

• Introduction 1Book 1: Learning Data Analytics & Visualizations Foundations 7Chapter 1: Exploring Definitions and Roles 9Chapter 2: Delving into Big Data 19Chapter 3: Understanding Data Lakes 41Chapter 4: Wrapping Your Head Around Data Science 51Chapter 5: Telling Powerful Stories with Data Visualization 81Book 2: Using Power BI for Data Analytics & Visualization 107Chapter 1: Power BI Foundations 109Chapter 2: The Quick Tour of Power BI 123Chapter 3: Prepping Data for Visualization 141Chapter 4: Tweaking Data for Primetime 167Chapter 5: Designing and Deploying Data Models 183Chapter 6: Tackling Visualization Basics in Power BI 203Chapter 7: Digging into Complex Visualization and Table Data 227Chapter 8: Sharing and Collaborating with Power BI 247Book 3: Using Tableau for Data Analytics & Visualization 265Chapter 1: Tableau Foundations 267Chapter 2: Connecting Your Data 285Chapter 3: Diving into the Tableau Prep Lifecycle 313Chapter 4: Advanced Data Prep Approaches in Tableau 337Chapter 5: Touring Tableau Desktop 351Chapter 6: Storytelling Foundations in Tableau 371Chapter 7: Visualizing Data in Tableau 391Chapter 8: Collaborating and Publishing with Tableau Cloud 425Book 4: Extracting Information with SQL 443Chapter 1: SQL Foundations 445Chapter 2: Drilling Down to the SQL Nitty-Gritty 455Chapter 3: Values, Variables, Functions, and Expressions 487Chapter 4: SELECT Statements and Modifying Clauses 513Chapter 5: Tuning Queries 539Chapter 6: Complex Query Design 557Chapter 7: Joining Data Together in SQL 591Book 5: Performing Statistical Data Analysis & Visualization with R Programming 605Chapter 1: Using Open Source R for Data Science 607Chapter 2: R: What It Does and How It Does It 623Chapter 3: Getting Graphical 651Chapter 4: Kicking It Up a Notch to ggplot2 671Book 6: Applying Python Programming to Data Science 689Chapter 1: Discovering the Match between Data Science and Python 691Chapter 2: Using Python for Data Science and Visualization 703Chapter 3: Getting a Crash Course in Matplotlib 721Chapter 4: Visualizing the Data 739Index 761

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