- Data Analysis
- Pandas (Python Package)
- Data Science
- Jupyter
- Regression Analysis
- Scientific Visualization
- Correlation Analysis
- Probability & Statistics
- Statistical Hypothesis Testing
- Statistical Analysis
- Statistical Methods
- Data Visualization
Statistics for Data Science with Python
Completed by Santiago Bouhot Pantoja
March 3, 2025
13 hours (approximately)
Santiago Bouhot Pantoja's account is verified. Coursera certifies their successful completion of Statistics for Data Science with Python
What you will learn
Write Python code to conduct various statistical tests including a T test, an ANOVA, and regression analysis.
Interpret the results of your statistical analysis after conducting hypothesis testing.
Calculate descriptive statistics and visualization by writing Python code.
Create a final project that demonstrates your understanding of various statistical test using Python and evaluate your peer's projects.
Skills you will gain
