These are the course materials for the Johns Hopkins Data Science Specialization on Coursera

https://www.coursera.org/specialization/jhudatascience/1 by Roger D. Peng, PhD, Jeff Leek, PhD, Brian Caffo, PhD Johns Hopkins. Bloomberg School of Public Health

This specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. The Specialization concludes with a Capstone project that allows you to apply the skills you’ve learned throughout the courses.

Courses

1. [The Data Scientist’s Toolbox]

2. [R Programming]

3. [Getting and Cleaning Data]

4. [Exploratory Data Analysis]

5. [Reproducible Research]

6. [Statistical Inference]

7. [Regression Models]

8. [Practical Machine Learning]

   • Project

9. Developing Data Products

   • Project

10. Data Science Capstone

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