Details
Data Analytics & Visualization All-in-One For Dummies
1. Aufl.
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32,99 € |
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| Verlag: | Wiley |
| Format: | |
| Veröffentl.: | 28.02.2024 |
| ISBN/EAN: | 9781394244119 |
| Sprache: | englisch |
| Anzahl Seiten: | 832 |
DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.
Beschreibungen
<p><b>Install data analytics into your brain with this comprehensive introduction</b></p> <p><i>Data Analytics & Visualization All-in-One For Dummies</i> 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.</p> <ul> <li>Mine data from data sources</li> <li>Organize and analyze data </li> <li>Use data to tell a story with Tableau</li> <li>Expand your know-how with Python and R</li> </ul> <p>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.</p>
<p>Introduction 1</p> <p><b>Book 1: Learning Data Analytics & Visualizations Foundations 7</b></p> <p>Chapter 1: Exploring Definitions and Roles 9</p> <p>Chapter 2: Delving into Big Data 19</p> <p>Chapter 3: Understanding Data Lakes 41</p> <p>Chapter 4: Wrapping Your Head Around Data Science 51</p> <p>Chapter 5: Telling Powerful Stories with Data Visualization 81</p> <p><b>Book 2: Using Power BI for Data Analytics & Visualization 107</b></p> <p>Chapter 1: Power BI Foundations 109</p> <p>Chapter 2: The Quick Tour of Power BI 123</p> <p>Chapter 3: Prepping Data for Visualization 141</p> <p>Chapter 4: Tweaking Data for Primetime 167</p> <p>Chapter 5: Designing and Deploying Data Models 183</p> <p>Chapter 6: Tackling Visualization Basics in Power BI 203</p> <p>Chapter 7: Digging into Complex Visualization and Table Data 227</p> <p>Chapter 8: Sharing and Collaborating with Power BI 247</p> <p><b>Book 3: Using Tableau for Data Analytics & Visualization 265</b></p> <p>Chapter 1: Tableau Foundations 267</p> <p>Chapter 2: Connecting Your Data 285</p> <p>Chapter 3: Diving into the Tableau Prep Lifecycle 313</p> <p>Chapter 4: Advanced Data Prep Approaches in Tableau 337</p> <p>Chapter 5: Touring Tableau Desktop 351</p> <p>Chapter 6: Storytelling Foundations in Tableau 371</p> <p>Chapter 7: Visualizing Data in Tableau 391</p> <p>Chapter 8: Collaborating and Publishing with Tableau Cloud 425</p> <p><b>Book 4: Extracting Information with SQL 443</b></p> <p>Chapter 1: SQL Foundations 445</p> <p>Chapter 2: Drilling Down to the SQL Nitty-Gritty 455</p> <p>Chapter 3: Values, Variables, Functions, and Expressions 487</p> <p>Chapter 4: SELECT Statements and Modifying Clauses 513</p> <p>Chapter 5: Tuning Queries 539</p> <p>Chapter 6: Complex Query Design 557</p> <p>Chapter 7: Joining Data Together in SQL 591</p> <p><b>Book 5: Performing Statistical Data Analysis & Visualization with R Programming 605</b></p> <p>Chapter 1: Using Open Source R for Data Science 607</p> <p>Chapter 2: R: What It Does and How It Does It 623</p> <p>Chapter 3: Getting Graphical 651</p> <p>Chapter 4: Kicking It Up a Notch to ggplot2 671</p> <p><b>Book 6: Applying Python Programming to Data Science 689</b></p> <p>Chapter 1: Discovering the Match between Data Science and Python 691</p> <p>Chapter 2: Using Python for Data Science and Visualization 703</p> <p>Chapter 3: Getting a Crash Course in Matplotlib 721</p> <p>Chapter 4: Visualizing the Data 739</p> <p>Index 761</p>
<p> <b>This All-in-One draws on the work of top authors in the <i>For Dummies </i>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.</b>
<p> <b>Unravel mysteries and tell stories with data</b> <p> The world of data analytics requires having a grasp of statistics, visualization tools, business intelligence, and coding. For aspiring data analysts, it’s a lot to figure out on the fly. This book provides a trusty guide for getting a handle on the fundamentals of data. Discover how to dig data out of storage, how to extrapolate insight from it, and how to turn that insight into a story that inspires others. It’s all in a day’s work for a data analyst. <p> <b>6 Mini-Books Inside… <ul><li>Learning Data Analytics & Visualization Foundations </li> <li>Using Power BI for Data Analytics & Visualization</li> <li>Using Tableau for Data Analytics & Visualization</li> <li>Extracting Information with SQL</li> <li>Performing Statistical Data Analysis & Visualization with R Programming</li> <li>Applying Python Programming to Data Science</b></li></ul>
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