- Data Analysis
- Descriptive Statistics
- Probability
- Regression Analysis
- Probability & Statistics
- Scientific Visualization
- Statistical Hypothesis Testing
- Correlation Analysis
- Jupyter
- Exploratory Data Analysis
- Pandas (Python Package)
- Data Science
Statistics for Data Science with Python
Completed by Abhirami Nedunchezian
July 21, 2024
14 hours (approximately)
Abhirami Nedunchezian'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
