Ebook

• Introduction to Open Data Science

• R for Data Science

• Introduction to Programming with R

• Twitter for R programmers

• R Packages

• Happy Git and GitHub for the useR

• Just Enough R

• An Introduction to Statistical and Data Sciences via R

• Feature Engineering and Selection: A Practical Approach for Predictive Models

• Data Science in Education Using R

• Functional programming and unit testing for data munging with R

• Passion Driven Statistics

• Introduction to Data Science

• plotly for R

• Tidyverse Skills for Data Science

• Foundations of Data Science

• Materials to accompany the book Learning from Data: An Introductory Handbook Using R

• R Markdown: The Definitive Guide

• Flexible Imputation of Missing Data

• Fundamentals of Data Visualization

• Forecasting: Principles and Practice

• Data Visualization

• Learning statistics in R

• Getting used to R, RStudio, and R Markdown

• Intro to GIS and Spatial Analysis

• Spatial Data Analysis and Modeling with R

• h2o tutorials

• Geocomputation with R

• Hands-on Machine Learning with R

• A gRadual intRoduction to Shiny

• Technical Foundations of Informatics

• Hands-On Programming with R

• The tidyverse style guide

• R Models - Quick reference

• Analytics with R

• AVML 2012: ggplot2

• R for Statistical Learning

• ComplexHeatmap Complete Reference

• ggplot2 graphics companion

• Statistical Thinking for the 21st Century

• R Programming for Data Science

• Creating APIs in R with Plumber

• Learning statistics with R website

• Data Analysis in Ecology with R and Stan

• The Hundred-Page Machine Learning Book

• Tidy Evaluation

• Introduction to Econometrics with R

• Regression Models for Data Science in R

• Pack YouR Code

• Mastering Software Development in R

• The R Manuals

• Spatial Data Science

• A Survival Guide to Data Science with R

• Introduction to R

• Data Wrangling with R

• Data Visualization with ggplot2

• Data Visualization with R

• R, Databases & SQL

• Building Big Shiny Apps - A Workflow

• Data Wrangling with R

• R Graphics Cookbook

• Feature Engineering and Selection: A Practical Approach for Predictive Models

• Predictive Models: Visual Exploration, Explanation and Debugging

• Data Visualization with R

• Introduction to Open Data Science

• R, Databases, and Docker

• Learning Statistics in R

• Hands-on Machine Learning with R

• R Advanced Spatial Lessons

• An Introduction to Machine Learning with R

• RMarkdown for Scientists

• Data Science Practice

• Agile Machine Learning with R

• Data Science with R: A Resource Compendium

• The wikipedia of R by me

• MSc Conversion in Psychological Studies/Science

• Data Skills for Reproducible Science

• Intro Regression

• Applied missing data analysis

Programming

• Writing R extensions

• Efficient R programming

• Computational Genomics with R

Shiny

• Interactive web-based data visualization with R, plotly, and shiny

• Mastering Shiny

• Engineering Production-Grade Shiny Apps

• Shiny Production with AWS Book

• Outstanding User Interfaces with Shiny

Ebook Collection

• 20 Free Online Books to Learn R and Data Science

• Books for learning R

• Useful books by Suzan Baert

• Books related to R

• Top R language resources to improve your data skills

• A curated list of awesome R packages, frameworks and software

• 100 Free R Tutorials and Resources in University webpages

• Top 6 Free E-Books To Learn R At Beginner And Advanced Levels

• What are some good resources for learning R?

• FREE R READING MATERIAL

• Data Science Learning Resources

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R book in italian

• Statistica per Data Science con R