This is my always up-to-date page of Learning Resources. As I navigate the PhD process, I will make sure to collect as many resources as I can.
At the moment, I have collected resources for Statistics, Programming, and Writing.
Last Updated: August, 2016.
Learning the Basics
- Khan Academy: Probability & Statistics
- Khan Academy provides short videos that cover the basics of probability and statistics.
- Calculus Refresher
Using Statistical Programs
- How to Stats
- This is a YouTube channel. The link above is for their blog page, in which they categorize all the topics they have covered.
- The focus is on SPSS.
- Introduction to STATA
- This is a tutorial website by Princeton and emphasizes data management and graphics.
- SAS Learning Modules
- This is a tutorial website by UCLA and covers all the basics of working in SAS.
- Try R
- Try by Code School. This is a fun, and short intro to the basis in R.
- For those that need to use Excel. Sounds basic, but I actually use VBA code in my forecasting analyses.
Beyond the Basics
- Where you get to see how to apply all your stats knowledge.
Learning to Code
- Code Academy
- I used this to teach myself Python.
- Code School
- I use this to learn Git.
- Teach Y0urself
- A list of tutorials recommended by programmers.
- This is a brief intro in programming with Python.
- R Tutorial
- Go beyond the basics by reading through the modules in this Tutorial.
- Free Books (multiple languages)
- This is an external link to 24 free introduction books.