Data Analysis Program
Structured beginner-to-advanced Data Analysis training program covering Excel, Python, SQL, and Power BI with practical implementation, real-world projects, dashboards, analytics workflows, and complete job-readiness preparation.
Syllabus
4 MODULESExcel for Data Analysis
Weeks 1-4. Learn Excel fundamentals including interface navigation, data types, formulas, spreadsheet productivity, advanced functions such as IF, VLOOKUP, INDEX-MATCH, data cleaning, preprocessing, sorting, filtering, Pivot Tables, charts, reporting dashboards, and business data analysis workflows.
Python for Data Analysis
Weeks 5-8. Build Python skills including variables, data types, operators, loops, conditions, functions, scripting fundamentals, NumPy arrays, Pandas DataFrames, data manipulation, cleaning, filtering, transformation, exploratory analysis, and practical data analysis with Python.
SQL for Data Querying
Weeks 9-12. Master relational database concepts, database basics, tables, records, SQL querying with SELECT, WHERE, ORDER BY, Joins including INNER JOIN, LEFT JOIN, RIGHT JOIN, aggregation with GROUP BY, HAVING clauses, subqueries, and real-world reporting queries.
Power BI & Business Intelligence
Weeks 13-16. Learn Power BI complete workflow including data import, cleaning, transformation, Power Query, interactive visualizations, KPI reporting, dashboards, business storytelling, DAX formulas, measures, relationships, and executive reporting systems.