Inferential Statistical Analysis with Python
Completed by Laura Carolina Barón Susano
October 27, 2024
21 hours (approximately)
Laura Carolina Barón Susano'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: Statistics
- Category: Data Analysis
- Category: Statistical Methods
- Category: Statistical Programming
- Category: Statistical Analysis
- Category: Jupyter
- Category: Data-Driven Decision-Making
- Category: Sampling (Statistics)
- Category: Python Programming
- Category: Statistical Hypothesis Testing
- Category: Probability & Statistics
- Category: Bayesian Statistics
