Tips and advice to become a data scientist? Currently in a data engineering and BI development role but looking to transition into becoming a data scientist.

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handsom ml with sklearn and tf is a good book

Stats, Calc, linear algebra… brace yourself

Sincerely,

MSDS candidate

Study probability/statistics and learn ml basics. At least a couple of basic supervised (linear logistic regression, tree based algos) and unsupervised learning algorithms(clustering algos like k means and dbscan) plus some dimensionality reduction techniques (pca) will get you well on the path. Also study how to interpret model results like precision recall, roc curves etc and how you could explain it to a non technical person in a simple manner. I would not stress too much on python packages for ML, most of them are easy to pickup and are designed in such a way that it’s nearly impossible to remember the syntax, most coding problems in ds interview are some sort of data aggregation using sql or some python programming question involving some data structures

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