Readme

This repository includes all files created while following the Johns Hopkins University Data Science Specialization courses on Coursera. The specialization includes 10 courses:

1. The Data Scientist 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

9. Developing Data Products

Useful resources

• More information about this specialization can be found here
• Ebooks on Data Science have been written by the specialization's teachers:

  • R programming (link)

  • Exploratory Data Analysis (link)

  • Statistical Inference (link)

    • Regression models (link)

    _Note: eBook on advanced Linears models, outside the specialization scope, can be found here)

Sources

• All courses materials (pdf & .Rmd) come from cloning the following Github directories:
  • Specialization directory (link)
  • B.Caffo directory (link)
    • Some files have been modified to be more concise