Introduction to Statistics

What you learn

Stanford's introduction focuses on statistical thinking: exploratory data analysis, the principles of sampling and the choice of an appropriate significance test for a given context. It is designed as groundwork for later study of statistical thinking and machine learning.

Who it suits

The course is pitched at beginners and fits people in analytics, research or product roles who need to read and communicate data claims responsibly. The skill tags on the listing, such as regression analysis and statistical modelling, point to a broad but introductory range.

Takeaways

• Exploratory analysis comes before formal testing in a sound workflow.
• Sampling choices shape what any later conclusion can support.
• Choosing a test depends on the context of the question being asked.