EXTRA – Online courses you should take + books you should read

Practical online course:

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

More resources:

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)

For the 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:

• Find data sets to practice: here
• Handpicked data sets to practice: here

Extra 2:

• Makeover Monday
• Deep Learning: Self-driving car in GTA (in Python)
• Visual introduction to understand classification and decision trees: here