Inferential Statistical Analysis with Python
Completed by Kent Xie
August 12, 2019
21 hours (approximately)
Kent Xie's account is verified. Coursera certifies their successful completion of Inferential Statistical Analysis with Python
What you will learn
Determine assumptions needed to calculate confidence intervals for their respective population parameters.
Create confidence intervals in Python and interpret the results.
Review how inferential procedures are applied and interpreted step by step when analyzing real data.
Run hypothesis tests in Python and interpret the results.
Skills you will gain
- Category: Probability & Statistics
- Category: Statistics
- Category: Jupyter
- Category: Statistical Programming
- Category: Statistical Software
- Category: Statistical Analysis
- Category: Python Programming
- Category: Statistical Inference
- Category: Statistical Methods
- Category: Bayesian Statistics
- Category: Analysis
- Category: Data-Driven Decision-Making
