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.
Course Link: Introduction to Statistics
The courses enlisted as follows:
- C1-Introduction to Statistics
Sponsor University : Standford University
Main Instructor:
- Guenther Walther
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.
Tools: Jupyter / JupyterLab, GitHub,
Libraries:
Projects: Introduction to Statitics
Total Hours: ~14 Hrs
