Inferential Statistical Analysis with Python
Completed by Pawel Tyszka
November 15, 2020
21 hours (approximately)
Pawel Tyszka'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: Sampling (Statistics)
- Category: Statistical Hypothesis Testing
- Category: Statistics
- Category: Data Analysis
- Category: Python Programming
- Category: Statistical Methods
- Category: Bayesian Statistics
- Category: Statistical Programming
- Category: Statistical Analysis
- Category: Jupyter
- Category: Statistical Inference
