- Probability
- Data Science
- Jupyter
- Matplotlib
- Pandas (Python Package)
- Probability & Statistics
- Scientific Visualization
- Statistical Methods
- Statistical Hypothesis Testing
- Data Visualization
- Statistics
- Data Analysis
Statistics for Data Science with Python
Completed by Laivy Rose Augustine
November 14, 2022
14 hours (approximately)
Laivy Rose Augustine'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
