Trying to transition into data science from data visualization. How would you go about this change?

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Shouldn’t be that hard since you already work with data, understand story telling, etc. Learn some ML concepts and some python or R and get to work.

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Here’s a few things/ways that can help with the transition (non-exhaustive list):
- Start with brushing up on some basic stats, probability and linear algebra knowledge that’s essential for understanding how ML works.
-Since you’re already doing dataviz I’m guessing you have at least a little idea of data preprocessing or cleaning. If not learn how to use pandas or SQL to do some basic data preprocessing.
-Learn how to code in Python or R. I learnt Python in grad school so I’d say look up some scikit-learn (it’s a Python library) tutorials on how to implement some basic supervised and unsupervised ML algos.
-Take a look at Kaggle notebooks or GitHub repos that others have authored and try to understand their problem solving approach.
-Pick up any dataset of your choice and writing your ML code and create a portfolio if you have the time.
-Try to get mentored internally by working with /shadowing data science teams.
-If you have the finances, time and patience enroll in a Data Science boot camp or masters program.

Hope this helps, best of luck with the transition! ✨

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Masters degree would help. Check out OMSA

Learn to code, learn copy and paste ML algorythms

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