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How to Become a Data Scientist
INTRO
01 - Welcome - the goal of this course (1:34)
02 - About me (1:17)
Data36 Inner Circle
MODULE #1: What you need to learn and why?
03 - The three pillars of data science (1:19)
04 - Coding (1:34)
05 - Statistics (2:28)
06 - Business (0:46)
07 - Soft skills (1:42)
08 - The data scientist’s mindset (2:03)
MODULE #2: Your step by step learning plan
09 - How much time will it take? (1:52)
10 - Your roadmap (4:27)
11 - Learning curve (2:20)
MODULE #3: Where to learn?
12 - University vs. self-education (3:37)
13 - If you are in a university program already (3:18)
EXTRA - Online courses you should take + books you should read
14 - How do you practice? (5:40)
MODULE #4: How will you get your first job?
15 - Don't build a CV, build a portfolio (2:47)
16 - Extra tip: Start a data blog (1:03)
17 - Three ways to "hack" yourself into your first Data Science position -- #1: internship (3:18)
18 - Three ways to "hack" yourself into your first Data Science position -- #2: soft repositioning (2:27)
19 - Three ways to "hack" yourself into your first Data Science position -- #3: side-gigs (1:22)
20 - About the interviews (4:53)
MODULE #5 - Where to go next
Go from zero to hero by practicing
21 - Summary & Good bye (1:11)
FOLLOWUP
how did you like it? (feedback)
11 - Learning curve
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