- Descriptive Statistics
- Statistical Analysis
- Data Analysis
- Jupyter
- Pandas (Python Package)
- Statistics
- Data Visualization Software
- Probability & Statistics
- Data Visualization
- Statistical Programming
- Regression Analysis
- Statistical Hypothesis Testing
Statistics for Data Science with Python
Completed by NOUR-EDDINE AARAB
September 25, 2021
13 hours (approximately)
NOUR-EDDINE AARAB'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
