
Introduction to data types, sources, and the role of a data analyst.

Using Excel and Python for descriptive and basic inferential analysis.

Identifying errors, handling missing values, improving data quality.

Combining datasets and working with structured data.

Creating dashboards and reports using Power BI and Tableau.