--1-- Relational DB concepts & terminology Python syntax, data types, iteration and conditional constructs, structures, libraries

--2-- Functions, classes, objects and packages File handling, lists, store, access and manipulate data

--3-- "DW fundamentals: Components of a Data Warehouse Concept & terms Dimensional modeling (Kimball’s Approach) Inmon's Approach " "DW Fundamentals: Fact Tables for Measurements Dimension Tables for Descriptive Context Facts and Dimensions Joined in a Star Schema All DW Schemas"

--4-- "DW development with Python: Review the Business Requirements Data Profiling Design / Develop the Dimensional Model"

--5-- Data Marts: Data Marts & Design Considerations ETL: ETL and Techniques

--6-- Moving the Data into the DW: Extract-Transform-Load processes with Python

--7-- "Numpy Library Scipy Library"

--8-- Pandas Library

--9-- Data Visualization Principles Matplotlib Reporting & Dashboards