Data Science Specialization Course Notes

Notes for all 9 courses in the Coursera Data Science Specialization from Johns Hopkins University

Happy Learning

Data Science Specialization

All notes are written in R Markdown format and encompass all concepts covered in the Data Science Specialization, as well as additional examples and materials I compiled from lecture, my own exploration, StackOverflow, and Khan Academy.

They are by no means perfect, but feel free to follow, fork and/or contribute. Please reach out to if you have any questions.

All files are hosted in this repository.

Course HTML PDF Rmd
The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
Statistical Inference
Regression Models
Practical Machine Learning
Developing Data Products
Fork me on GitHub

Download .zip Download .tar.gz View on GitHub
Xing Su
Xing graduated from Duke University in 2013, worked in consulting in NYC for 16 months, moved to SF to learn data science, and will be launching new cities for Uber in China. You can find him on LinkedIn, Github, or through