- Regression Analysis
- Jupyter
- Pandas (Python Package)
- Scientific Visualization
- Probability
- Descriptive Statistics
- Data Science
- Data Analysis
- Statistical Analysis
- Exploratory Data Analysis
- Probability Distribution
- Statistical Hypothesis Testing
Statistics for Data Science with Python
Completed by Mayank Bhargava
July 16, 2024
13 hours (approximately)
Mayank Bhargava'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
