- Statistical Analysis
- Statistics
- Data Analysis
- Jupyter
- Probability Distribution
- Exploratory Data Analysis
- Correlation Analysis
- Pandas (Python Package)
- Probability
- Scientific Visualization
- Data Visualization
- Statistical Hypothesis Testing
Statistics for Data Science with Python
Completed by NOHAMED HANINI
March 23, 2021
13 hours (approximately)
NOHAMED HANINI'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
