This is a repository where all the resources related to statistical analysis, learning and overall data science will be uploaded as I progress though the materials. This will include my own .R codes for my future reference and for others.
At a bare minimum, I expect to cover the following within the next year (I will updare this as I go):
Summer 2015
- swirl + Coursera's Data Science [ 1, 2 ]
- Intro to Descriptive Stats + Intro to Inferential Stats (Udacity)
- Data Analysis with R (Udacity)
Fall 2015
- Coursera's Data Science [ 3, 4, 5, 6, 7 ]
- Statistical Learning (Stanford) + textbook
Spring 2016
- Coursera's Data Science [ 8, 9 ]
- "Machine Learning for Hackers" textbook
(1) The Data Scientist's Toolbox (Coursera)
(2) R Programming (Coursera) + swirl("R Programming")
(3) Getting and Cleaning Data (Coursera) + swirl("Getting and Cleaning Data")
(4) Exploratory Data Analysis (Coursera) + swirl("Explanatory Data Analysis")
(5) Reproducible Research (Coursera)
(6) Statistical Inference (Coursera) + swirl("Statistical Inference")
(7) Regression Models (Coursera) + swirl("Regression Models")
(8) Practical Machine Learning (Coursera)
(9) Developing Data Products (Coursera)