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Comprehensive 3-phase Data Analytics Career Program covering Excel Foundations & Analysis, Databases & SQL, Python for Analysts, Pandas, Exploratory Data Analysis, Data Visualisation, Power BI Reports & DAX, Inferential Statistics, A/B Testing, Business Metrics, Tableau Essentials, Dashboard Design, Time Series Forecasting, and Capstone Portfolio.
Data AnalyticsStructured across three progressive phases: Phase 1 (Data Analytics Foundations, Excel & SQL Basics), Phase 2 (Advanced SQL, Python, Pandas & Power BI), and Phase 3 (Inferential Statistics, Tableau, Storytelling & Capstone). Students build three distinct portfolio artifacts and execute an end-to-end industry capstone with mock interview readiness.
Graduates and college students (BE, B.Tech, BCA, BSc, B.Com, BBA), business analysts, data enthusiasts, and working professionals seeking to transition into Data Analytics and Business Intelligence roles.
Awarded upon successful completion and review of all phase assessments, practical submissions, capstone dashboard, documentation, and mock interview evaluation.
The course covers Excel (formulas, pivot tables, XLOOKUP), SQL (PostgreSQL, queries, joins, aggregations, CTEs, window functions), Python (Pandas, Matplotlib, Seaborn), Power BI (data modeling, DAX), and Tableau Public.
You will build three primary portfolio deliverables: (1) Retail sales analysis in Excel and SQL, (2) End-to-end analysis on a business dataset with a Power BI report, and (3) A comprehensive Capstone project including a dashboard, report, and GitHub repository.
Yes. Phase 3 includes dedicated sessions on GitHub repository creation, data dictionary documentation, resume and LinkedIn profile preparation, interview storytelling, and simulated mock interviews.
Data AnalyticsNext cohort commences on 1st Nov 2026.
🔒 Capped at 30 students per batch. Applications are reviewed on a rolling basis.
Enroll in our upcoming batch. We cap each track at 30 students to ensure personalized mentorship, deep collaboration, and dedicated career guidance.