- Data Analysis (including pre-analysis work like: data wrangling)
- Basic statistical analysis
- A/B Testing using sampling and bootstrapping techniques
- Correlation Analysis
- Build linear, multivariate & logistic regression models
- Data Visualization using python libraries like: pandas, seaborn & matplotlib.