Data Analytics & Business Intelligence
Turn raw operational data into actionable business clarity. Master SQL querying, Python data transformations, statistical analysis, and executive dashboard building using Power BI and Tableau in Kottayam & Online.
Data Analytics Curriculum Breakdown
Module 1: Advanced SQL for Analytics
Writing complex queries: SELECT, JOINs, nested subqueries, aggregations (GROUP BY, HAVING), window functions (RANK, DENSE_RANK, LEAD/LAG), Common Table Expressions (CTEs), and query optimization.
Module 2: Python for Data Analysis
Cleaning messy datasets using Pandas. Handling null values, date/time formatting, parsing strings, filtering records, merging multiple tables, and exporting clean CSV/Excel reports.
Module 3: Statistical Methods & Business Metrics
Descriptive statistics (mean, median, variance, standard deviation), hypothesis testing, correlation analysis, and computing essential business KPIs (churn rate, customer lifetime value, conversion rates).
Module 4: Power BI & Tableau Dashboards
Data modeling, DAX measures, creating interactive charts, slicers, KPI cards, and building real-time executive dashboards that answer strategic business questions.
Module 5: Capstone Business Portfolio Project
Conduct an end-to-end analytical project on retail sales, healthcare, or e-commerce datasets. Formulate insights, generate recommendations, and build presentation slides.