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A Python Data Analyst’s Toolkit

Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

Authors: Rajagopalan, Gayathri

  • ​Explains important data analytics concepts with real-life applications using Python
  • Includes multiple-choice and practice questions to bridge the gap between theory and practice
  • Contains case studies to demonstrate how data analysis skills can be applied to make informed decisions and solve problems
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Buy this book

eBook $34.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: December 16, 2020
  • ISBN 978-1-4842-6399-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $44.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: December 16, 2020
  • ISBN 978-1-4842-6398-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
About this book

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended.
This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers.  You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. 
The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis. 
The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics.
What You'll Learn

  • Further your programming and analytical skills with Python
  • Solve mathematical problems in calculus, and set theory and algebra with Python
  • Work with various libraries in Python to structure, analyze, and visualize data
  • Tackle real-life case studies using Python
  • Review essential statistical concepts and use the Scipy library to solve problems in statistics 
Who This Book Is For
Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.

About the authors

Gayathri Rajagopalan works for a leading Indian multi-national organization, with ten years of experience in the software and information technology industry. A computer engineer and a certified Project Management Professional (PMP), some of her key focus areas include Python, data analytics, machine learning, and deep learning. She is proficient in Python, Java, and C/C++ programming. Her hobbies include reading, music, and teaching data science to beginners.

Buy this book

eBook $34.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: December 16, 2020
  • ISBN 978-1-4842-6399-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $44.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: December 16, 2020
  • ISBN 978-1-4842-6398-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
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Bibliographic Information

Bibliographic Information
Book Title
A Python Data Analyst’s Toolkit
Book Subtitle
Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics
Authors
Copyright
2021
Publisher
Apress
Copyright Holder
Gayathri Rajagopalan
eBook ISBN
978-1-4842-6399-0
DOI
10.1007/978-1-4842-6399-0
Softcover ISBN
978-1-4842-6398-3
Edition Number
1
Number of Pages
XX, 391
Number of Illustrations
169 b/w illustrations
Topics