- Jupyter
- Statistical Methods
- Statistical Inference
- Statistical Hypothesis Testing
- Probability & Statistics
- NumPy
- Matplotlib
- Python Programming
- Bayesian Statistics
- Statistical Analysis
- Sampling (Statistics)
Inferential Statistical Analysis with Python
Completed by Gabriel Borges
April 11, 2020
21 hours (approximately)
Gabriel Borges'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
