Chandrika Batra

Chandrika Batra

Data Science Portfolio

Data Science Resources

Resources to learn data science using R :bulb:

Courses :computer:

  1. Introduction to R by Datacamp

  2. Data Science: R Basics: This course by Harvard University is a part of a 9 course Data Science Certificate. The certificate is recommended for those who are interested in learning ML and Statistics.

  3. Dataquest R Courses: Dataquest helps you learn R coding in an interactive manner. Check out their free courses:

  4. Swirl: Learn R interactively within R Studio: The swirl R package is a fun and easy way to learn data wrangling using R.

  5. R Bootcamp: This short course illustrates the basics of ggplot, dplyr, tidyr and broom.

Books :books:

  1. R For Data Science: An intro to R and illustrates the components of the Data Science pipeline.

  2. Hands-On Programming with R: Highlights the programmatic aspects of R language.

  3. Cookbook for R Provides solutions to common problems in analyzing data. It includes reproducible R code for hands-on learning.

Tutorials :ledger:

  1. R Programming

  2. R for Reproducible Scientific Analysis : An introduction to R for non-programmers using gapminder data

  3. Data Analysis and Visualization in R

  4. Data Wrangling with R

Videos :tv:

  1. What is R?

  2. Why Use R? - R Tidyverse Reporting and Analytics for Excel Users

  3. Data Analysis Screencasts : #TidyTuesday is a weekly exercise on Data Analysis using R that is published by David Robinson (Data Scientist at Datacamp).

Assignments :pencil:

  1. The Analytics Edge course either on OCW or edx.