R and Analytics

These are my notes based on the Johns Hopkins Data Science Course consisting of:

  • Data Scientist’s Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Data Analysis
  • Reproducible Research
  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products