- Statistical Methods
- Data Analysis
- Data Visualization
- Probability
- Jupyter
- Probability & Statistics
- Probability Distribution
- Regression Analysis
- Matplotlib
- Pandas (Python Package)
- Descriptive Statistics
- Exploratory Data Analysis
Statistics for Data Science with Python
Completed by Jorge Andres Fouere Andrade
July 9, 2021
13 hours (approximately)
Jorge Andres Fouere Andrade'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
