- Probability & Statistics
- Bayesian Statistics
- Matplotlib
- Python Programming
- Statistical Hypothesis Testing
- Statistical Inference
- Sampling (Statistics)
- Statistical Methods
- Statistical Analysis
- Jupyter
- NumPy
Inferential Statistical Analysis with Python
Completed by Smiruthi Ramasubramanian
June 10, 2020
21 hours (approximately)
Smiruthi Ramasubramanian'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
