Inferential Statistical Analysis with Python
Completed by David John McKay
May 31, 2020
21 hours (approximately)
David John McKay'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 Inference
- Category: Python Programming
- Category: Bayesian Statistics
- Category: Data Analysis
- Category: Probability & Statistics
- Category: Statistical Programming
- Category: Analysis
- Category: Data-Driven Decision-Making
- Category: Sampling (Statistics)
- Category: Jupyter
- Category: Statistical Analysis
- Category: Statistical Hypothesis Testing
