Inferential Statistical Analysis with Python
Completed by Carla Mancillas
March 16, 2019
21 hours (approximately)
Carla Mancillas'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: Analysis
- Category: Data-Driven Decision-Making
- Category: Jupyter
- Category: Bayesian Statistics
- Category: Probability & Statistics
- Category: Statistical Inference
- Category: Statistical Programming
- Category: Statistical Software
- Category: Sampling (Statistics)
- Category: Statistics
- Category: Statistical Analysis
- Category: Python Programming
