- Statistical Hypothesis Testing
- Probability Distribution
- Data Visualization
- Statistics
- Correlation Analysis
- Statistical Methods
- Statistical Analysis
- Probability
- Data Science
- Exploratory Data Analysis
- Matplotlib
- Jupyter
Statistics for Data Science with Python
Completed by Angela Patricia Moreno Londoño
December 19, 2024
13 hours (approximately)
Angela Patricia Moreno Londoño'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
