Introduction to Statistics

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning. Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons

• Perform exploratory data analysis effectively
• Understand fundamental sampling principles
• Select appropriate statistical tests for various contexts
• Acquire foundational skills in statistical thinking and machine learning
• Apply concepts of descriptive statistics and regression

• Basic familiarity with computers and productivity software
• No calculus required