Greater Insights
Learning simplified!
Master SQL for Data in Chennai — move into SQL Developer roles paying ₹12–22 LPA, rising to ₹36L at senior level.
Open-house batches for individuals — enroll directly. Training a team? Request an enterprise quote →
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14 Nov – 29 Nov 2026
Saturday
all session dates
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10:00 AM–2:00 PM IST | 🎓 Virtual Instructor-led🗓️ Weekends | Half days | 3 weekends | ₹12,600 ₹21,000 |
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Sat 14 NovSun 15 NovSat 21 NovSun 22 NovSat 28 NovSun 29 Nov
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16 Nov – 18 Nov 2026
Monday
all session dates
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9:30 AM–5:30 PM IST | 🎓 Virtual Instructor-led🗓️ Weekdays | Full days | 3 days | ₹12,600 ₹21,000 |
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Mon 16 NovTue 17 NovWed 18 Nov
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07 Dec – 04 Jan 2027
Monday
all session dates
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8:00 PM–10:00 PM IST | 🎓 Virtual Instructor-led🗓️ Weekdays | Evenings | 12 sessions | ₹12,600 ₹21,000 |
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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 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.
Query databases to extract, filter, and aggregate data for insights and reporting.
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Write and optimize SQL queries to retrieve, transform, and combine data across systems.
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Analyze business data using SQL to identify trends, solve problems, and support decisions.
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* Salary figures sourced from AmbitionBox (2026-Q2). Indicative — actual pay varies by city, company and experience.
SQL for Data teaches you to write and optimize SQL queries for extracting, filtering, and transforming business data. This Beginner to Intermediate course equips data analysts, business analysts, and reporting professionals with the core SQL skills needed to query relational databases, join multiple tables, and build complex multi-step queries that drive insight.
You'll master SELECT statements with aliases and calculated columns, filter data using WHERE and logical operators, aggregate and group results, join tables across schemas, and apply window functions for advanced analytics. Using Microsoft SQL Server and SQL Server Management Studio, you'll learn to reshape data with PIVOT operations, combine result sets, and build CTEs and subqueries that structure real-world analytical problems. By course end, you'll confidently write production-ready queries and design appropriate data types for custom reporting and analysis workflows.
The job roles this programme is built for.
11 modules · hands-on labs · 1 capstone project · 24 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 SQL for Data certificate — ready to share on LinkedIn.
Verified Google reviews — Greater Insights company-wide
SQL for Data is a live, instructor-led programme that takes learners from their very first SELECT statement through to advanced querying techniques used in real analytics workflows. Delivered with hands-on labs in Microsoft SQL Server and SQL Server Management Studio throughout, every concept is reinforced by writing and running actual queries against realistic datasets. The programme closes with a capstone project in which learners load a retail sales dataset, answer genuine business questions with SQL, and present findings — mirroring the day-to-day work of a data or reporting analyst.
SQL — Structured Query Language — is the standard language used to communicate with relational databases. A relational database stores information in tables made up of rows and columns, linked by keys that express relationships between different types of data. SQL lets you retrieve exactly the rows and columns you need, filter and sort them, combine information from multiple tables, summarise millions of records into meaningful totals, and reshape results for reporting. In Microsoft SQL Server, these capabilities scale from simple lookups to complex analytical queries involving window functions, CTEs, and pivoted result sets. Because virtually every organisation stores its core data in a relational database, SQL is the foundational skill that sits beneath data analysis, business intelligence, and most reporting workflows — making raw data immediately useful and auditable.
Demand for people who can query data confidently has grown faster than organisations can hire for it. Spreadsheet tools hit their limits as datasets grow, and analysts who can go directly to the source — writing JOINs, subqueries, and window functions in SQL Server — deliver answers faster and with far greater accuracy. Employers hiring Data Analysts, Reporting Analysts, and Business Intelligence Analysts increasingly list SQL as a non-negotiable requirement, not a nice-to-have. Knowing how to filter with WHERE and HAVING, aggregate with GROUP BY, reshape with PIVOT and UNPIVOT, and surface results cleanly in Excel positions a candidate above the majority of applicants who rely solely on spreadsheet skills. That practical fluency commands a measurable premium across industries from retail to finance to healthcare.
By the end you will have built — not just studied — the core systems of the field:
Completing this programme opens doors to a cluster of in-demand roles. Data Analyst and Junior Data Analyst positions are the most direct fit, with employers across retail, finance, logistics, and the public sector consistently requiring SQL as a core competency. Reporting Analysts who can write their own queries in SQL Server — rather than relying on pre-built extracts — are significantly more productive and consequently more sought-after. Business Analysts with SQL skills can validate requirements against real data, reducing back-and-forth with technical teams. Business Intelligence Analysts use the same JOINs, CTEs, window functions, and aggregate queries taught in this programme to build the datasets that feed dashboards and executive reports. Junior SQL Developer and Junior Database Administrator roles suit learners who complete the table-design and transactions content and want a more technical trajectory. Across all these paths, demonstrated SQL ability — evidenced by a capstone project and a working query portfolio — materially strengthens a candidate's position in a competitive hiring market.
When you work with data in Chennai, the problems you solve span industries that operate at genuine scale. At product companies like Zoho and Freshworks, SQL sits at the core of how analysts track subscription metrics, model customer behaviour across millions of users, and surface the signals that product and growth teams act on. In the automotive manufacturing belt, you might be querying operational data to identify defects in assembly lines, optimise supplier lead times, or support the analytics pipelines that feed connected vehicle systems. Across the IT delivery centres along the OMR corridor, teams use SQL to transform raw client data into structured reporting layers, build dashboards for global stakeholders, and maintain the data infrastructure that underpins large-scale service contracts. The breadth of these use cases means SQL proficiency translates into meaningful work across multiple sectors without requiring you to specialise narrowly from the start.
Employers in Chennai that recruit for SQL for Data skills include Zoho and Freshworks, which hire data analysts and analytics engineers to support product-led growth at scale. On the services side, Cognizant, Wipro, and TCS employ large data teams across their Chennai delivery operations, drawing on SQL professionals to serve clients across finance, retail, and manufacturing verticals.
Demand for SQL for Data roles in Chennai grows year on year, reflecting how broadly data skills have become embedded in both product and services organisations. Live online instructor-led batches run in IST, so you can join from anywhere in Chennai.
