Data Analytics & Visualization All-in-One For Dummies

Häftad, Engelska, 2024

Av Jack A. Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Jonathan Reichental, Joseph Schmuller, Alan R. Simon, Allen G. Taylor, Inc.) Simon, Alan R. (Thinking Helmet, Oregon) Taylor, Allen G. (Database Consultant, Oregon City, Lillian Pierson

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Install data analytics into your brain with this comprehensive introductionData Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and RNew and novice data analysts will love this All-in-One reference on how to make sense of data. Get ready to watch as your career in data takes off.

Produktinformation

Utgivningsdatum2024-04-01
Mått185 x 229 x 48 mm
Vikt1 066 g
FormatHäftad
SpråkEngelska
SerieFor Dummies
Antal sidor832
FörlagJohn Wiley & Sons Inc
ISBN9781394244096

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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