A guide on on Data Analytics & Manipulation using Pandas, SQL, Seaborn and probably beyond.
This guide can be used as a course with each week having 2-3 lessons and a project for the learner to try each week.
This guide was created on Databricks for a Data Science team training. The SQL and Spark segments should work as is on a Databricks environment but might need some modification if used in a different enviornment. All other segments should run perfectly on any Python Notebooks enviornment such as Jupyter.
The Cariculum can be found in 'S0_Content.ipynb'.