Inferential Statistical Analysis with Python
Completed by Marina Pliusnina
October 6, 2019
21 hours (approximately)
Marina Pliusnina'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: Data-Driven Decision-Making
- Category: Analysis
- Category: Statistical Inference
- Category: Statistical Software
- Category: Probability & Statistics
- Category: Statistical Hypothesis Testing
- Category: Statistical Programming
- Category: Python Programming
- Category: Bayesian Statistics
- Category: Statistics
- Category: Statistical Methods
- Category: Sampling (Statistics)
