An Introduction to R and Python for Data Analysis
eBook - ePub

An Introduction to R and Python for Data Analysis

A Side-By-Side Approach

  1. 246 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

An Introduction to R and Python for Data Analysis

A Side-By-Side Approach

About this book

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book's website.

Key features:

  • Teaches R and Python in a "side-by-side" way
  • Examples are tailored to aspiring data scientists and statisticians, not software engineers
  • Designed for introductory graduate students
  • Does not assume any mathematical background

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Yes, you can access An Introduction to R and Python for Data Analysis by Taylor R. Brown in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. 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. Dedication Page
  6. Contents
  7. List of Figures
  8. Welcome
  9. Preface
  10. I Introducing the Basics
  11. II Common Tasks and Patterns
  12. III Programming Styles
  13. Bibliography
  14. Index