University of Washington Data Science Cert II

1-16-24 to 3-19-24

Methods for Data Analysis

Lesson 01: Overview of ML & DS

Lesson 02: Bivariate statistical measures and visualizations, Intro to Counting and Probability

Lesson 03: Conditional probability

Lesson 04: PDFs, CDFs, and inverse PDFs

Lesson 05: The Central Limit Theorem

Lesson 06: Hypothesis tests

Lesson 07: Bayes' Rule and Its Implication

Lesson 08: Markov Chains, Naïve Bayes

Lesson 09: Linear Regression

Lesson 10: Principal Component Analysis (PCA)

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