Fr. 45.50

PYTHON DATA SCIENCE FOR BEGINNERS - Unlock the Power of Data Science with Python and Start Your Journey as a Beginner (2023 Crash Course)

English · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

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Embark on a transformative journey into the world of data science with Python, the most popular programming language for data analysis and manipulation. "Python Data Science for Beginners" is a comprehensive guide that equips you with the fundamental skills and knowledge needed to dive into the exciting field of data science, even if you have no prior coding experience.

Inside, you'll find:
¿ A step-by-step introduction to Python programming, covering the basics and providing a solid foundation for data science
¿ Practical explanations of key data science concepts, including data exploration, visualization, manipulation, and analysis
¿ Hands-on coding examples and exercises to reinforce your understanding and help you build your own data science projects
¿ Guidance on popular Python libraries for data science, such as Pandas, NumPy, Matplotlib, and Scikit-learn
¿ Strategies for effective data cleaning, preprocessing, and feature engineering
And Much More!...

Whether you're a student, professional, or simply someone with a curiosity for data science, "Python Data Science for Beginners" provides a comprehensive and beginner-friendly approach to mastering the essentials. With the help of this book, you'll gain the confidence to tackle real-world data challenges and embark on a rewarding career in the field of data science.

Get ready to unleash your analytical skills and unlock the power of Python in the fascinating world of data science.


Product details

Authors Rufus Johnston
Publisher Rufus Johnston
 
Languages English
Product format Paperback / Softback
Released 21.06.2023
 
EAN 9783988313898
ISBN 978-3-98831-389-8
No. of pages 154
Dimensions 152 mm x 229 mm x 9 mm
Weight 234 g
Subject Natural sciences, medicine, IT, technology > IT, data processing > Programming languages

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