How to Become a Data Scientist
INTRO
3 Lessons
01 – Welcome – the goal of this course
02 – About me
Data36 Inner Circle
MODULE #1: What you need to learn and why?
6 Lessons
03 – The three pillars of data science
04 – Coding
05 – Statistics
06 – Business
07 – Soft skills
08 – The data scientist’s mindset
MODULE #2: Your step by step learning plan
3 Lessons
09 – How much time will it take?
10 – Your roadmap
11 – Learning curve
MODULE #3: Where to learn?
4 Lessons
12 – University vs. self-education
13 – If you are in a university program already
EXTRA – Online courses you should take + books you should read
14 – How do you practice?
MODULE #4: How will you get your first job?
6 Lessons
15 – Don’t build a CV, build a portfolio
16 – Extra tip: Start a data blog
17 – Three ways to “hack” yourself into your first Data Science position — #1: internship
18 – Three ways to “hack” yourself into your first Data Science position — #2: soft repositioning
19 – Three ways to “hack” yourself into your first Data Science position — #3: side-gigs
20 – About the interviews
MODULE #5 – Where to go next
3 Lessons
The Junior Data Scientist’s First Month
21 – Summary & Good bye
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12 – University vs. self-education
How to Become a Data Scientist
MODULE #3: Where to learn?
12 – University vs. self-education
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