Python data science: After work guide to start learning Data Science on your own. Avoid common beginners mistakes of coding. Approach Panda and NumPy to become a brilliant computer programmer.

Kölling, Michail/ HOOD, CODING

ISBN 10: 1990151086 / ISBN 13: 9781990151088

Verlag: Francesco Cammardella, 2020

Beschreibung

90 pages. 9.02x5.98x0.19 inches. In Stock.

Bestandsnummer des Verkäufers zk1990151086

Bibliografische Details

• Titel: Python data science: After work guide to start learning Data Science on your own. Avoid common beginners mistakes of coding. Approach Panda and NumPy to become a brilliant computer programmer.
• Verlag: Francesco Cammardella
• Veröffentlichungsdatum: 2020
• Sprache: Englisch
• ISBN-10: 1990151086
• ISBN-13: 9781990151088
• Bindung: Paperback
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

The ultimate comprehensible guide dedicated to those interested in learning more about the field of data science, what it has to offer, and how to avoid any common beginner mistakes in the hopes of mastering it in the near future.

Do you want to learn about data science?

Interested in mastering it as one of your self-taught skills?

Have you been planning to study it to become a remarkable computer programmer someday?

If it's a yes with any of these questions, then you've stumbled upon the right material to help you with your goals!

Intended to be a guide that'll mold you to become a brilliant and masterful computer programmer, Python Data Science has the kinds of content that you can trust to take you through the world of data science, and everything that you'll need to excel in it. Guaranteeing you to not only come out as knowledgeable and well-informed, but also that you'll be an expert in doing so.

  This book includes:

• Brief introduction to data science
• The difference between data science and data analysis
• Short introduction and understanding of the NumPy library
• Basics of Python

And so much more!

After this, the book then proceeds onto discussing other need-to-knows. These include how to manipulate data through pandas (panel data), how to work with matplotlib to create visuals effectively, what is machine learning and how is it relevant to data science, and so much more knowledge to greatly contribute in developing your expertise.

Cultivate your skill and mastery of data science now and impressively do it all on your own, too, with just the guidance of this excellent book!

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