Probability and Statistics for Data Science and Quant Interviews

intermediate1.5 hours3 sections9 lessons

Counting, conditional probability, expected value, distributions, random walks, brainteasers, confidence intervals, hypothesis tests and regression, taught for interview answers you can defend out loud.

What you will be able to do

  • Count outcomes, condition on evidence and use Bayes' rule without losing the base rate.
  • Price games and waiting times with expected value, linearity and first-step equations.
  • Recognise the distribution a question wants and solve quant-style brainteasers with a clear method.
  • Build and read confidence intervals, hypothesis tests, p-values and regression output correctly.

Who this course is for

Data scientist, quant and machine learning candidates who need probability and statistics back fast, on a whiteboard and out loud.

Helpful to know first

  • High-school algebra; the course rebuilds the probability and statistics it uses.

Course content

3 sections 9 lessons 1.5 hours

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