DA
Data Analytics Bootcamp
Excel · SQL · Power BI · Tableau — 12 Weeks
12 Weeks Hands-On Project-Led

Data Analytics Bootcamp

Learn practical Excel, SQL, Power BI and Tableau skills used by data teams. Build a portfolio-ready capstone, get mentor support and career guidance.

Duration: 12 weeks
Format: Live classes + labs
Level: Beginner → Job-ready

Program Snapshot

This intensive 12-week bootcamp teaches you the full toolkit data analysts use at work: advanced Excel for analysis & automation, SQL for data extraction and transformation, and modern BI tools (Power BI & Tableau) for visualization and storytelling. Focused on hands-on labs, weekly projects, and a final capstone.

What you'll learn

  • Advanced Excel (pivot tables, Power Query, formulas & automation)
  • SQL (SELECT, JOINs, window functions, CTEs, aggregation, performance tips)
  • Power BI (data modeling, DAX, interactive dashboards, deployment)
  • Tableau (visual best practices, calculated fields, storytelling)
  • Data cleaning & ETL concepts; working with CSV, Excel, relational data
  • Business metrics, KPIs, and analytics thinking
  • Capstone project: real dataset, full pipeline, presentation-ready dashboard

Who is this for?

Career switchers, fresh grads, business professionals, and anyone who wants to analyze data and build dashboards. No prior programming experience required.

Prerequisites

  • Basic comfort with spreadsheets
  • A laptop (Windows or macOS) and internet connection
  • Commit ~8–12 hours/week

Outcomes & Career Support

  • Build 4+ portfolio projects including a capstone dashboard
  • 1:1 resume & interview coaching sessions
  • Access to a hiring network and placement guidance
  • Certificate of Completion and technical assessment report

12-Week Curriculum

Each week includes live sessions, hands-on labs, and a short project or assignment.

Week 1 — Excel Foundations
Sheets, formatting, basic formulas, shortcuts, data entry best practices.
Week 2 — Excel Advanced
PivotTables, conditional formatting, named ranges, array formulas.
Week 3 — Power Query & Data Cleaning
Importing data, cleaning, merging, unpivot, automation with Power Query.
Week 4 — SQL Basics
SELECT, WHERE, ORDER BY, GROUP BY, aggregate functions.
Week 5 — SQL Intermediate
JOINs, subqueries, window functions, CTEs, best practices.
Week 6 — SQL for Analytics & Performance
Indexes, explain plans, writing analytic queries.
Week 7 — Data Modeling & Power BI Intro
Star schemas, relationships, Power BI Desktop basics.
Week 8 — DAX & Power BI Dashboards
Measures, calculated columns, time intelligence, interactive visuals.
Week 9 — Tableau Fundamentals
Connecting data, basic charts, calculated fields, filters & parameters.
Week 10 — Tableau Advanced & Storytelling
LOD expressions, dashboard actions, designing a narrative dashboard.
Week 11 — Capstone Project Work
Project planning, ETL, analysis, dashboards. Weekly mentor check-ins.
Week 12 — Project Presentation & Hiring Prep
Final presentations, portfolio polish, resume & interview workshops.

Capstone & Projects

The capstone is an instructor-guided, industry-aligned project: you will ingest raw data, perform ETL, write analysis queries, design KPIs, and build an interactive dashboard (Power BI or Tableau). Projects are team or individual and are meant to go directly into your portfolio.

Sample project ideas

  • Sales performance dashboard with regional drill-downs and cohort analysis
  • Customer churn analysis with retention recommendations
  • Operational metrics dashboard for a small SaaS product

Assessment

Weekly assignments, a mid-program technical test, and a final capstone evaluation. Students receive a technical feedback report and certificate on completion.

How to Apply

  1. Fill out the application form with your basic details and background information.
  2. Complete the course payment of ₹9,500/- to confirm your enrollment. Multiple payment options are available.
  3. Receive your official admission letter after payment confirmation.
  4. Start attending classes, available both online and offline according to your preference.

Refund & Cancellation

Full refund if cancelled within 7 days of enrollment and before course start. Contact admissions for details.