- Data Analysis
- Jupyter
- Matplotlib
- Probability & Statistics
- Bayesian Statistics
- Statistical Inference
- NumPy
- Statistical Analysis
- Statistical Hypothesis Testing
- Statistical Methods
- Python Programming
- Statistics
Inferential Statistical Analysis with Python
Completed by Dana Eve Cornelius
March 3, 2021
21 hours (approximately)
Dana Eve Cornelius'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
