Descriptive data analysis by using Python libraries like Pandas, NumPy, Matplotlib, seaborn, and Plotly
- Data collection and web scraping. (HTML, JSON, SQLite).
- Data cleaning and combining.
- Data visualization and exploration by measuring central tendency for different data attributes/features and investigating the relationships/correlations between variables.
- Communicating results to stakeholders.