EXTRA - Online courses you should take + books you should read
Well, let me start by highlighting my flagship course: The Junior Data Scientist's First Month course. This is a 100% practical, cohort-based online course. It's a 6-week simulation of being a junior data scientist at a true-to-life startup. Read more, here: https://data36.com/jds
For the very first steps...
- Coding: codecademy.com
Codecademy is an online interactive platform that offers free coding classes - including Python and SQL. It's perfect to test the waters. - Statistics: Naked Statistics (book)
- Business: Lean Analytics (book)
Next steps:
- Statistics: Practical Statistics (book)
- Coding:
- Install Python, SQL, R and Bash (step-by-step tutorial article)
- Learn SQL for Data Analysis from scratch (my tutorial series)
- Learn Python for Data Science from scratch (my tutorial series)
Extra 1:
Open data sets for practicing:
Extra 2:
- Makeover Monday
- Deep Learning: Self-driving car in GTA (in Python)
- Visual introduction to understand classification and decision trees: here