DOMAIN KNOWLEDGE: Is it Important for a Data Scientist?

Data36 Data Science Podcast

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Is it important for data scientists to have domain knowledge in a specific field? Sure it is! You can't come up with meaningful conclusions, and drive results from your data science projects, if you don't know the business you are in. That's sort of self-evident. But how important it is exactly and how much domain knowledge should you have before you apply for a specific data position? In this podcast episode I'll explain everything.

Youtube version: https://youtu.be/aUgo988Ssl4
Original article format here: https://data36.com/domain-knowledge-data-scientist/

LINKS MENTIONED IN THE EPISODE:

- How to Become a DS: https://data36.com/how-to-become-a-data-scientist/
- 7 Books to Get Started with Data Science: https://medium.com/@datalab/wannabe-data-scientists-learn-the-basics-with-these-7-books-1a41cfbbdd34
- https://prezi.com/
- https://www.izettle.com/
- 6-week data science course: https://data36.com/jds/

Check my website: https://data36.com

Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle

Find me on Twitter: https://twitter.com/data36_com

12 episodes

#Tech #Tomi Mester