How to Become a Data Scientist

mestitomi

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INTRO 3 Lessons

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01 – Welcome – the goal of this course

02 – About me

Data36 Inner Circle

MODULE #1: What you need to learn and why? 6 Lessons

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03 – The three pillars of data science

05 – Statistics

06 – Business

07 – Soft skills

08 – The data scientist’s mindset

MODULE #2: Your step by step learning plan 3 Lessons

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09 – How much time will it take?

10 – Your roadmap

11 – Learning curve

MODULE #3: Where to learn? 4 Lessons

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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

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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

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The Junior Data Scientist’s First Month

21 – Summary & Good bye