- Statistical Hypothesis Testing
- Matplotlib
- Scientific Visualization
- Data Science
- Statistical Analysis
- Data Visualization
- Regression Analysis
- Probability & Statistics
- Probability
- Correlation Analysis
- Data Analysis
- Jupyter
Statistics for Data Science with Python
Completed by Francisco Díaz Biain
August 1, 2021
13 hours (approximately)
Francisco Díaz Biain'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
