- Statistics
- Data Analysis
- Descriptive Statistics
- Correlation Analysis
- Pandas (Python Package)
- Regression Analysis
- Data Visualization
- Statistical Analysis
- Probability & Statistics
- Data Science
- Jupyter
- Probability
Statistics for Data Science with Python
Completed by NUMAN EJAZ
May 23, 2023
13 hours (approximately)
NUMAN EJAZ'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
