- Probability
- Descriptive Statistics
- Matplotlib
- Data Visualization
- Scientific Visualization
- Data Analysis
- Jupyter
- Regression Analysis
- Pandas (Python Package)
- Statistical Hypothesis Testing
- Correlation Analysis
- Probability Distribution
Statistics for Data Science with Python
Completed by Josue Hernandez
August 22, 2021
14 hours (approximately)
Josue Hernandez'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
