Inferential Statistical Analysis with Python
Completed by Greg Furlich
October 5, 2020
21 hours (approximately)
Greg Furlich'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: Jupyter
- Category: Data Analysis
- Category: Statistical Programming
- Category: Statistical Methods
- Category: Analysis
- Category: Statistical Hypothesis Testing
- Category: Statistics
- Category: Data-Driven Decision-Making
- Category: Sampling (Statistics)
- Category: Python Programming
- Category: Probability & Statistics
- Category: Bayesian Statistics
