Applied Statistics with Python
eBook - ePub

Applied Statistics with Python

Volume I: Introductory Statistics and Regression

  1. 336 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Statistics with Python

Volume I: Introductory Statistics and Regression

About this book

Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, while also being useful as a supplementary text for more advanced students.

Key Features:

  • Concentrates on more introductory topics such as descriptive statistics, probability, probability distributions, proportion and means hypothesis testing, as well as one-variable regression
  • The book's computational (Python) approach allows us to study Statistics much more effectively. It removes the tedium of hand/calculator computations and enables one to study more advanced topics
  • Standardized sklearn Python package gives efficient access to machine learning topics
  • Randomized homework as well as exams are provided in the author's course shell on My Open Math web portal (free)

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Yes, you can access Applied Statistics with Python by Leon Kaganovskiy in PDF and/or ePUB format, as well as other popular books in Mathematics & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. 1 Introduction
  8. 2 Descriptive Data Analysis
  9. 3 Probability
  10. 4 Probability Distributions
  11. 5 Inferential Statistics and Tests for Proportions
  12. 6 Goodness of Fit and Contingency Tables
  13. 7 Inference for Means
  14. 8 Correlation and Regression
  15. Bibliography
  16. Index