How to Become a Data Scientist
Who is a Data Scientist ?
A person employed to analyse and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making — is a Data scientist.
How to Become a Data Scientist
This course will help you become a data scientist and find your first job!
- Learn how to become a Data Scientist
- Learn the pillars of data science
- Learn the difference skills you need to acquire
- Learn how to get your first job in data science
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Your Outcome
A free online video course packed with practical tips about how to become a data scientist. Step-by-step learning plan, resources, how to practice, and more.
Become a data scientist on your own
In this course you will learn the basics of data science and how to build a career and land your first job!
Intro
- Welcome — the goal of this course (1:34)
- About me (1:25)
MODULE #1: What you need to learn and why?
- The three pillars of data science (1:19)
- Coding (1:34)
- Statistics (2:28)
- Business (0:46)
- Soft skills (1:42)
- The data scientist’s mindset (2:03)
MODULE #2: Your step by step learning plan
- How much time will it take? (1:52)
- Your roadmap (4:27)
- Learning curve (2:20)
MODULE #3: Where to learn?
- University vs. self-education (3:37)
- If you are in a university program already (3:18)
- EXTRA — Online courses you should take + books you should read
- How do you practice? (5:40)
- MODULE #4: How will you get your first job?
- Don’t build a CV, build a portfolio (2:47)
- Extra tip: Start a data blog (1:03)
- Three ways to “hack” yourself into your first Data Science position — #1: internship (3:18)
- Three ways to “hack” yourself into your first Data Science position — #2: soft repositioning (2:27)
- Three ways to “hack” yourself into your first Data Science position — #3: side-gigs (1:22)
- About the interviews (4:53)
MODULE #5 — Where to go next
- Learn and Practice SQL
- Go from zero to hero by practicing
- Summary & Good bye (1:11)
Your Instructor
Tomi Mester is a data analyst and researcher. He worked for Prezi, iZettle and several smaller companies as an analyst/consultant. He’s the author of the Data36 blog where he writes posts and tutorials on a weekly basis about data science, AB-testing, online research and data coding. He’s an O’Reilly author and presenter on conferences like TEDxYouth, Barcelona E-commerce Summit or Data Conf.
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