This project addresses the following 3 topics,
- How to analyse data with Python and/or SQL effectively from end to end;
- What are handy data analysis/engineering tools for Python developers;
- How to build dashboard quickly and eaisly.
By demostrate basic data analysis and data engineering cases, we get hand-on experience with popular libraries/tools, such as Pandas, Apache Spark/pyspark, Polars, PostgreSQL, Matplotlib, Seaborn and Grafana.