Data Analytics & Visualization All-in-One For Dumm Format: Paperback

Jack A. Hyman; Paul McFedries; Michael Alexander (

ISBN 10: 1394244096 / ISBN 13: 9781394244096

Edité par John Wiley and Sons, 2024

A propos de cet article

Brand New. N° de réf. du vendeur 9781394244096

Détails bibliographiques

Titre : Data Analytics & Visualization All-in-One ...

Éditeur : John Wiley and Sons

Date d'édition : 2024

Reliure : Couverture souple

Etat : New

A propos de ce titre

Synopsis :

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.

À propos de l?auteur:

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.