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Statistical Foundations for Data Science and Machine Learning

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The payment is 100% refundable if you cancel before the first session, 50% if you withdraw before the second session, and 0% refund if withdraw after the second session. To request a refund, please contact [email protected]


Students should have some experience with Python and have a passing familiarity with basic statistical and linear algebraic concepts (mean, median, mode, standard deviation, correlation, the difference between a vector and a matrix). In Python, it will be helpful to know basic data structures such as lists, tuples, and dictionaries, and what distinguishes them (that is, when they should be used).

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