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Data Analytics \u0026 Visualization All-in-One For Dummies
Hoofdkenmerken
Auteur: Jack A. Hyman; Luca Massaron; Paul McFedries; John Paul Mueller; Jonathan Reichental; Joseph Schmull
Titel: Data Analytics \u0026 Visualization All-in-One For Dummies
Uitgever: Wiley Professional Development (P&T)
ISBN: 9781394244102
ISBN boekversie: 9781394244096
Editie: 1
Prijs: € 39,56
Verschijningsdatum: 05-03-2024
Inhoudelijke kenmerken
Categorie: Forecasting
Taal: English
Imprint: For Dummies
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

\u003cp\u003e\u003cb\u003eInstall data analytics into your brain with this comprehensive introduction\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003ci\u003eData Analytics \u0026 Visualization All-in-One For Dummies\u003c/i\u003e 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\u0026rsquo;ll learn all about sources of data like data lakes, and you\u0026rsquo;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\u0026rsquo;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\u0026rsquo;ll be well on your way to becoming a priceless data jockey.\u003c/p\u003e \u003cul\u003e \u003cli\u003eMine data from data sources\u003c/li\u003e \u003cli\u003eOrganize and analyze dataá\u003c/li\u003e \u003cli\u003eUse data to tell a story with Tableau\u003c/li\u003e \u003cli\u003eExpand your know-how with Python and R\u003c/li\u003e \u003c/ul\u003e \u003cp\u003eNew 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.\u003c/p\u003e
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