STATISTICS & PROBABILITY for DATA SCIENCE & ANALYTICS

What Will You Learn?

• Summarize and describe data correctly using descriptive statistics and distribution analysis
• Reason about uncertainty using probability, common distributions, and Bayes' Theorem
• Understand the Central Limit Theorem and why it underlies statistical inference
• Design and interpret hypothesis tests, including tests of difference and association
• Determine the right sample size and statistical power for a reliable test
• Run and interpret real A/B tests the way they are done in industry
• Build and interpret simple linear regression models, including statistical significance of coefficients
• Analyze time-dependent data and extract meaningful temporal patterns
• Recognize and avoid the most common statistical mistakes in real data analysis