Master Data Analyst in Mumbai — move into Data Analyst roles paying ₹7–12 LPA, rising to ₹20L at senior level.
Open-house batches for individuals — enroll directly. Training a team? Request an enterprise quote →
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14 Nov – 13 Dec 2026
Saturday
all session dates
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10:00 AM–2:00 PM IST | 🎓 Virtual Instructor-led🗓️ Weekends | Half days | 5 weekends | ₹21,000 ₹35,000 |
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Sat 14 NovSun 15 NovSat 21 NovSun 22 NovSat 28 NovSun 29 NovSat 5 DecSun 6 DecSat 12 DecSun 13 Dec
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16 Nov – 20 Nov 2026
Monday
all session dates
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9:30 AM–5:30 PM IST | 🎓 Virtual Instructor-led🗓️ Weekdays | Full days | 5 days | ₹21,000 ₹35,000 |
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Mon 16 NovTue 17 NovWed 18 NovThu 19 NovFri 20 Nov
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07 Dec – 22 Jan 2027
Monday
all session dates
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8:00 PM–10:00 PM IST | 🎓 Virtual Instructor-led🗓️ Weekdays | Evenings | 20 sessions | ₹21,000 ₹35,000 |
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Mon 7 DecWed 9 DecFri 11 DecMon 14 DecWed 16 DecFri 18 DecMon 21 DecWed 23 DecMon 28 DecWed 30 DecFri 1 JanMon 4 JanWed 6 JanFri 8 JanMon 11 JanWed 13 JanFri 15 JanMon 18 JanWed 20 JanFri 22 Jan
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| Enterprise Custom Date |
Custom Schedule Your timing & location |
⚡ Any Mode | Flexible | Custom pricing | |
Can't find a suitable batch? Contact us
Every function in every enterprise is becoming data-driven, and data science remains one of the most reliable on-ramps into high-growth technology careers, with demand consistently outpacing supply.
Extract, clean, and analyze structured data to identify patterns and inform business decisions.
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Extract, clean, and analyze structured data to identify patterns and inform business decisions.
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Translate business requirements into data queries and dashboards to solve operational problems.
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* Salary figures sourced from AmbitionBox (2026-Q2). Indicative — actual pay varies by city, company and experience.
This beginner-to-intermediate course equips you with the core skills to analyze data and drive business decisions. You'll master SQL queries, Excel formulas, and dashboarding tools—learning how to extract, clean, and visualize data from multiple sources. Whether you're transitioning into analytics or advancing your technical foundation, this course covers the full workflow from database querying through stakeholder presentation.
Designed for aspiring Data Analysts, Business Analysts, and Reporting professionals, you'll work with Microsoft SQL Server, Excel, Tableau, and Power BI to build real-world dashboards, write effective queries, and tell compelling stories with data. By the end, you'll be confident tackling business questions, connecting and transforming data sources, and communicating insights to non-technical audiences.
The job roles this programme is built for.
15 modules · hands-on labs · 1 capstone project · 40 hours
Every batch includes guided labs, case studies and a capstone — applied to real-world problems.
Everything your programme needs, in one connected place.


No install. No config. Just build.








Not email, Zoom links and scattered PDFs. From the moment you enroll, your whole programme lives in one place.
From enrolment to certificate, every step is laid out in order — you always know where you are and exactly what happens next. Nothing lost between tools.
Pre-configured cloud labs. Spin one up in seconds, build on real infrastructure, break things and learn — nothing to install.
Write and run code right in the browser, get AI feedback as you go, and practice against problems that mirror the job — no local setup, ever.
A pre-assessment sets your baseline; a post-assessment proves your uplift. Real, measurable growth — for you, and for the employer looking at your record.
A capstone graded by AI and validated by your trainer — detailed feedback in hours, not weeks, on work that looks like what teams actually ship.
Today's session, pending tasks, resources and progress — organised in one place so you focus on learning, not on chasing links and files.
One verifiable link — the project you built, your before → after scores, the skills you proved. Shareable with any employer.
Earn your Greater Insights Data Analyst certificate — ready to share on LinkedIn.
Verified Google reviews — Greater Insights company-wide
Fraud detection systems at fintech platforms, credit risk models at insurance companies, and real-time transaction monitoring at banks are among the core problems you would work on as a Data Analyst in Mumbai. The city's financial services corridor — spanning BKC and Lower Parel — generates continuous demand for professionals who can build models that flag anomalous spending, score loan applicants, and surface patterns in high-volume payment data. Beyond finance, Mumbai's large D2C e-commerce brands and gaming studios ask analysts to develop recommendation engines that personalise the customer journey, optimise supply chains across complex fulfilment networks, and interpret player behaviour data to improve retention. These are not peripheral analytics tasks — they sit close to revenue, and the work you produce directly shapes product and risk decisions.
Employers in Mumbai that recruit for Data Analyst skills include HDFC Bank and Reliance, both of which employ analysts across risk, operations, and customer intelligence functions. Global investment banks such as JP Morgan and Goldman Sachs maintain significant analytics teams in the city, while TCS recruits Data Analysts to support enterprise clients across financial services and beyond.
Demand for Data Analyst roles in Mumbai grows year on year, reflecting the expanding scale of data operations across financial services, e-commerce, and gaming. If you are based anywhere in Mumbai, live online instructor-led batches run in IST, so you can join without relocating or rearranging your schedule.