Free Ebooks on R, Python and Data Science

The following is a list of free books (PDFs with data sets and codes) on R programming, Python and data science.

Please read the disclaimer about the Free Ebooks in this article at the bottom.

Free Ebooks on R, Python and Data Science

Free R Books with Data Sets

1. R in a Nutshell

It provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data.

Ebook - Link
Data sets - Link

2. Introduction to Statistical Learning with R
It covers some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more.

Ebook : Statistical Modeling with R

Data Sets and R Codes : Data Sets for Data Analysis

3. Machine Learning with R

It helps you to learn R from the machine learning perspective. It introduces R-Weka package – Weka is another open source software used extensively in academic research.

Ebook : Machine Learning with R

4. Elegant graphics with R

It covers the most popular package of R on graphics ‘ggplot 2’. It covers the package in detail.

Ebook - Elegant graphics for data analysis

Documentation and Data sets

Free Python Books with Data Sets

1. Python for Data Analysis

It covers topics on data preparation, data munging, data wrangling. It introduces a friendly interface IPython to code. In addition, it also covers NumPy and Pandas.

Ebook - Python for Data Analysis
Datasets
Codes

2. Practical Data Science Codebook

It covers a variety of situations with examples in the two most popular programming languages for data analysis - R and Python.

Ebook - Practical Data Science Codebook

3. Text Processing in Python

It is illustrative guide, which will walk you through all the text processing techniques in a step-by-step manner. It will demystify the advanced features of text analysis and text mining.

Ebook - Text Processing in Python

4. Natural Language Processing with Python

It offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies ranging from predictive text and email filtering to automatic summarization and translation.

Ebook - NLP with Python

Data and Code

Disclaimer :

Deepanshu Bhalla or ListenData has no affiliation to either the authors of the books or the web-sites hosting these PDF books shared in this post. We are not responsible for any content on other sites we link to. Most of the PDF links were gathered via Google search results in the first or second page and we assume they are hosted on either the authors' webpages or university sites. Please let me know if you think any PDF link posted is a copyright infringement, I will remove that link.

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About Author:
Deepanshu Bhalla

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and HR.

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