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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