Learn clean business analytics using SQL databases, Excel calculations, Power BI reporting dashboards, and Python data manipulation.
Deep dive curriculum engineered to make you job-ready for analytics roles.
Writing basic select statements, joining customer tables, grouping transactions, filtering sets, and working with subqueries to clean raw business datasets.
Writing nested logical formulas (VLOOKUP, INDEX-MATCH, XLOOKUP). Mastering pivot tables, charts, power query data loads, and building financial audit worksheets.
Importing tables into Power BI. Constructing relational star schema data models. Writing DAX expressions for customized time intelligence KPIs. Creating visual dashboards.
Fundamental programming in Python. Importing datasets with Pandas. Manipulating tables, resolving missing values, and engineering plots using Seaborn and Matplotlib.