Inferential Statistical Analysis with Python
Completed by PITIYAVARUN SIVANESASUNTHARAM
January 30, 2021
21 hours (approximately)
PITIYAVARUN SIVANESASUNTHARAM'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: Statistical Programming
- Category: Data Analysis
- Category: Probability & Statistics
- Category: Statistical Methods
- Category: Bayesian Statistics
- Category: Python Programming
- Category: Sampling (Statistics)
- Category: Data-Driven Decision-Making
- Category: Statistical Analysis
- Category: Jupyter
- Category: Statistical Hypothesis Testing
