- 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 Fathima Sharafudeen
January 13, 2024
13 hours (approximately)
Fathima Sharafudeen'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
