Data Analytics.
Excel, SQL, Power BI, Python — the stack every hiring manager keeps asking for. Turn messy data into the decisions companies actually pay for.
Program at a glance
Who this is for.
Data analytics is one of the highest-paid entry-level tracks in India right now. Here’s who wins from it.
Fresh graduates
Data analyst roles start higher than most fresher jobs. Learn the exact stack recruiters test for.
Non-tech switchers
Coming from finance, ops, HR? Analytics builds cleanly on top of Excel skills you already have.
Marketers wanting numbers
Move from “marketing coordinator” to “marketing analyst” — bigger scope, bigger paycheque.
Small business owners
Read your own data. Stop guessing about inventory, campaigns, and pricing.
What you’ll actually learn.
Ten modules. Every one ships a real dashboard or case study.
Data Fundamentals
Types of data, sources, cleaning basics, what “insight” actually means to a business team.
Advanced Excel
PivotTables, PowerQuery, VLOOKUP/XLOOKUP, INDEX-MATCH, conditional logic, Power Pivot, macros.
SQL — Zero to Job-Ready
SELECT to CTEs. Joins, window functions, aggregations, real query optimisation. Practice on real e-commerce dataset.
Power BI
Data modelling, DAX, calculated columns, measures, drill-throughs, publishing to service, gateways.
Google Looker Studio
Free-tier dashboards, live data source connections, GA4 integration, client-friendly reports.
Python for Data
Pandas, NumPy, Matplotlib, Seaborn. Data cleaning, exploratory analysis, basic ML models.
Statistics for Analysts
Distributions, hypothesis testing, correlation vs causation, A/B testing frameworks.
Business Intelligence
KPI design, executive reporting, storytelling with data, stakeholder communication.
AI in Analytics
ChatGPT for SQL, Copilot for Excel, Gemini for data cleaning. Save 40% of your day.
Capstone — Real Client Project
End-to-end: brief, data pull, cleaning, analysis, dashboard, presentation. Case study you take to interviews.
Tools you’ll master.
Your 4-month journey.
Month 1 — Excel + Fundamentals
You’ll be scary-good at Excel by end of month one. PowerQuery workflows, PivotTables, dashboards. First mini-case study delivered.
You’ll ship
- Cleaning workflow in Power Query
- Interactive Excel dashboard
- KPI reporting sheet
- First case study writeup
Month 2 — SQL + Power BI
Query real datasets. Build production-grade Power BI reports. This is the stack that ends up on 80% of analyst job descriptions.
You’ll ship
- 50+ SQL queries against real data
- Multi-page Power BI report
- Published to Power BI Service
- Executive dashboard
Month 3 — Python + Statistics
Move into Python for data. Pandas workflows, cleaning at scale, basic ML models. Statistical thinking baked in throughout.
You’ll ship
- Pandas cleaning notebook
- Exploratory analysis project
- A/B test design & analysis
- Segmentation project
Month 4 — Capstone + Placement
End-to-end capstone project — from client brief to executive presentation. Then portfolio, resume, mocks, referrals.
You’ll get
- Real client capstone case study
- 1:1 portfolio review
- Resume + LinkedIn rewrite
- Warm intros to partners
Where this course leads.
Typical entry salary: ₹4.5–8 LPA. Highest-paid track we run.
Course FAQ.
Data roles pay more.
Start with a free demo.
45 minutes with a trainer. See how a live class runs. Then enrol if the fit is right.