Inferential Statistical Analysis with Python
Completed by Hong Shing Suen
October 15, 2022
21 hours (approximately)
Hong Shing Suen'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: Statistical Methods
- Category: Jupyter
- Category: Analysis
- Category: Statistics
- Category: Probability & Statistics
- Category: Statistical Analysis
- Category: Data-Driven Decision-Making
- Category: Bayesian Statistics
- Category: Statistical Inference
- Category: Sampling (Statistics)
- Category: Statistical Programming
- Category: Python Programming
