- Descriptive Statistics
- Probability Distribution
- Correlation Analysis
- Statistical Analysis
- Statistical Methods
- Regression Analysis
- Matplotlib
- Scientific Visualization
- Exploratory Data Analysis
- Jupyter
- Pandas (Python Package)
- Statistical Hypothesis Testing
Statistics for Data Science with Python
Completed by Prajwal P Kulkarni
February 7, 2023
13 hours (approximately)
Prajwal P Kulkarni'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
