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Computers Data Mining

Data Analytics & Visualization All-in-One For Dummies

by (author) Jack A. Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Lillian Pierson, Jonathan Reichental, Joseph Schmuller, Alan R. Simon & Allen G. Taylor

Publisher
Wiley
Initial publish date
Apr 2024
Category
Data Mining, Forecasting, Data Visualization
  • Paperback / softback

    ISBN
    9781394244096
    Publish Date
    Apr 2024
    List Price
    $59.99
  • eBook

    ISBN
    9781394244102
    Publish Date
    Mar 2024
    List Price
    $38.99

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Description

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 authors

Contributor Notes

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.

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