Data Analytics & Visualization All-in-One For Dummies
- 11h 59m
- Alan R. Simon, Allen G. Taylor, Jack A. Hyman, John Paul Mueller, Jonathan Reichental, Joseph Schmuller, Lillian Pierson, Luca Massaron, Paul McFedries
- John Wiley & Sons (US)
- 2024
Install data analytics into your brain with this comprehensive introduction
Data 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 sources
- Organize and analyze data
- Use data to tell a story with Tableau
- Expand your know-how with Python and R
New 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.
About the Author
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, Lillian Pierson, Jonathan Reichental PhD, Joseph Schmuller PhD, Alan Simon, and Allen G. Taylor.
In this Book
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Introduction
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Exploring Definitions and Roles
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Delving into Big Data
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Understanding Data Lakes
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Wrapping Your Head Around Data Science
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Telling Powerful Stories with Data Visualization
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Power BI Foundations
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The Quick Tour of Power BI
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Prepping Data for Visualization
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Tweaking Data for Primetime
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Designing and Deploying Data Models
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Tackling Visualization Basics in Power BI
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Digging into Complex Visualization and Table Data
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Sharing and Collaborating with Power BI
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Tableau Foundations
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Connecting Your Data
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Diving into the Tableau Prep Lifecycle
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Advanced Data Prep Approaches in Tableau
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Touring Tableau Desktop
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Storytelling Foundations in Tableau
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Visualizing Data in Tableau
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Collaborating and Publishing with Tableau Cloud
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SQL Foundations
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Drilling Down to the SQL Nitty-Gritty
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Values, Variables, Functions, and Expressions
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SELECT Statements and Modifying Clauses
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Tuning Queries
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Complex Query Design
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Joining Data Together in SQL
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Using Open Source R for Data Science
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R: What It Does and How It Does It
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Getting Graphical
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Kicking It Up a Notch to ggplot2
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Discovering the Match between Data Science and Python
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Using Python for Data Science and Visualization
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Getting a Crash Course in Matplotlib
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Visualizing the Data
