SQL Course in Hyderabad
— From SELECT to Window Functions
The SQL course in Hyderabad at Data Analytics Masters takes you from your first SELECT to window functions, CTEs and database design. Eighteen modules and five projects over 30 days, taught live by a certified trainer with 9+ years of experience, as classroom batches near JNTU Metro or live online. No programming background required.
📊 Course snapshot
Duration
30 days
Mode
Classroom + live online
Modules
18 modules, 14 tools
Level
Complete beginner to advanced
Trainer
Mr. Harish, 9+ years
Location
Near JNTU Metro, Hyderabad
Live instructor-led
Classroom near JNTU + online
Joins, CTEs and window functions
5 hands-on projects
Lifetime access to recordings
Placement assistance
18
Curriculum modules
14
Tools and technologies
30
Days of live training
5
Hands-on projects
At a glance
SQL Course in Hyderabad — Quick Facts
Everything a prospective learner asks a counsellor in the first two minutes.
Course
SQL Course in Hyderabad
Location
Near JNTU Metro Station, Hyderabad
Training mode
Classroom + live online + corporate
Duration
30 days
Classroom fee
₹25,000
Online fee
₹20,000
Corporate training
Available, customised syllabus
Curriculum
18 modules, 14 tools, 5 projects
Key topics
Joins, subqueries, CTEs, window functions, design
Trainer
Mr. Harish, 9+ years
Session time
Weekday and weekend batches
Prerequisites
None. No programming background needed.
Career outcomes
Placement support and career outcomes
What we do, stated plainly, and what we do not claim.
Resume and portfolio review
Your CV is rebuilt around the five projects you actually built, using the terms SQL and data recruiters screen for.
Mock interviews
SQL technical rounds on joins, aggregation and window functions, plus the round every interview uses: write this query on the spot.
GitHub portfolio setup
Your projects hosted publicly, so a recruiter can see your work rather than take your word for it.
LinkedIn optimisation
Headline, skills and project section, so recruiter search actually surfaces you for SQL and data roles.
Internship option
An internship option is available with the classroom programme, based on your completed project work.
What we don't promise
No job guarantee, no guaranteed salary, no placement percentage. Any institute quoting those numbers cannot evidence them either.
Companies hiring SQL professionals in Hyderabad
These are employers advertising SQL developer, data analyst and database roles in the Hyderabad market. We prepare you for their interview process. We are not claiming a hiring partnership with them.
TCS
Infosys
Wipro
Cognizant
Deloitte
Accenture
Capgemini
HCLTech
Tech Mahindra
LTIMindtree
Amazon
Genpact
Why choose us
Why choose this SQL course in Hyderabad
Every reason below is something you can verify before you pay.
Our SQL course in Hyderabad starts at what a relational database is and finishes with you designing one. Every query is written and run in class against a real sample database, not read off a slide.
Eighteen modules cover SELECT and filtering, sorting, aggregation, all six join types, subqueries, set operations, CTEs, window functions, data types and functions, data manipulation, database design and normalisation, constraints, views and indexes, stored procedures and triggers, and administration essentials.
It finishes with five projects — a retail sales analysis, a cohort report built with window functions, a schema designed from scratch, a query optimisation exercise and an automated reporting procedure.
Free demo
Book a free demo class
See a real session before you commit — no obligation.
01
Interview core
Joins get a full module
Six join types, practised across five related tables. Joins are the most-tested SQL topic in interviews and the most commonly undercooked in courses.
— Module 6
02
Advanced
Window functions taught properly
ROW_NUMBER, RANK, LAG, LEAD, running totals and moving averages. This is what separates senior candidates from junior ones.
— Module 10
03
Design
Design, not just querying
Keys, normalisation to 3NF, relationships and ER diagrams, with a schema you design from a business requirement.
— Module 13
04
Optimisation
Performance is covered
Indexes, views and reading an execution plan, plus a project where you make a slow report measurably faster.
— Module 15
05
Portable
Three database systems
MySQL, PostgreSQL and SQL Server. Knowing more than one keeps you out of the filter when a job names a specific platform.
— Throughout
06
Readable SQL
CTEs before complexity
WITH clauses and recursive queries, so your SQL stays reviewable instead of nesting six levels deep.
— Module 9
07
Hands-on
You type every query
Written and run in class against a real sample database. Reading SQL is not learning SQL.
— Every module
08
Automation
Stored procedures included
Procedures, functions and triggers, with an automated reporting project.
— Module 16
09
Practical scope
Admin essentials, not a DBA course
Permissions, backup basics, security and SQL Server on Azure — enough to work safely alongside a DBA.
— Module 17
10
Duration
30 days, realistically
Short enough to fit alongside a job, long enough to reach window functions properly.
— Weekday and weekend
11
Accountability
Named trainer, 9+ years
Mr. Harish teaches the SQL batches. Ask about his background before you enrol.
— Certified trainer
12
Flexible
Classroom or live online
Classroom batches near JNTU Metro, live online anywhere, with recorded sessions for revision.
— Both modes
Course curriculum
SQL Course Syllabus — 18 Modules
Eighteen modules that take you from your first SELECT to designing a database. Expand any module to see the topics, the lab and the outcome.
01 Introduction to Databases and SQL
What a database is and why SQL still runs the world.
You will cover: ✓ Databases and DBMS · ✓ Relational model · ✓ SQL vs NoSQL · ✓ Where SQL is used
02 Setup and SQL Environment
A working environment before any query.
You will cover: ✓ Installing MySQL or PostgreSQL · ✓ SQL Server Management Studio · ✓ Sample databases · ✓ Running your first query
03 SELECT and Filtering
The statement you will write ten thousand times.
You will cover: ✓ SELECT and FROM · ✓ WHERE conditions · ✓ AND, OR, NOT · ✓ IN, BETWEEN, LIKE
04 Sorting and Limiting
Getting the rows that matter, in the order that matters.
You will cover: ✓ ORDER BY · ✓ LIMIT and TOP · ✓ DISTINCT · ✓ NULL handling
05 Aggregate Functions
Turning rows into answers.
You will cover: ✓ COUNT, SUM, AVG · ✓ MIN and MAX · ✓ GROUP BY · ✓ HAVING vs WHERE
06 Joins
The single most-tested SQL skill in interviews.
You will cover: ✓ INNER JOIN · ✓ LEFT and RIGHT JOIN · ✓ FULL OUTER JOIN · ✓ SELF JOIN and CROSS JOIN
07 Subqueries
Queries inside queries, used properly.
You will cover: ✓ Scalar subqueries · ✓ Correlated subqueries · ✓ IN, EXISTS, ANY, ALL · ✓ Subquery vs join
08 Set Operations
Combining result sets cleanly.
You will cover: ✓ UNION and UNION ALL · ✓ INTERSECT · ✓ EXCEPT and MINUS · ✓ Column compatibility
09 Common Table Expressions
Readable SQL instead of nested chaos.
You will cover: ✓ WITH clause · ✓ Multiple CTEs · ✓ Recursive CTEs · ✓ CTE vs subquery
10 Window Functions
The topic that separates senior candidates from junior ones.
You will cover: ✓ OVER and PARTITION BY · ✓ ROW_NUMBER, RANK, DENSE_RANK · ✓ LAG and LEAD · ✓ Running totals and moving averages
11 Data Types and Functions
Handling the messy reality of stored data.
You will cover: ✓ Numeric and string types · ✓ Date and time functions · ✓ CAST and CONVERT · ✓ COALESCE and NULLIF
12 Data Manipulation
Changing data safely.
You will cover: ✓ INSERT · ✓ UPDATE · ✓ DELETE · ✓ Transactions, COMMIT and ROLLBACK
13 Database Design and Normalisation
Designing the tables, not just querying them.
You will cover: ✓ Primary and foreign keys · ✓ 1NF, 2NF, 3NF · ✓ Relationships · ✓ ER diagrams
14 Constraints and Integrity
Rules the database enforces so your data stays trustworthy.
You will cover: ✓ NOT NULL and UNIQUE · ✓ CHECK and DEFAULT · ✓ Foreign key constraints · ✓ Cascading actions
15 Views, Indexes and Performance
Making queries fast and reusable.
You will cover: ✓ Creating views · ✓ Index types · ✓ Reading an execution plan · ✓ Query optimisation basics
16 Stored Procedures and Functions
Logic that lives in the database.
You will cover: ✓ Stored procedures · ✓ User-defined functions · ✓ Parameters · ✓ Triggers
17 SQL Administration Essentials
The operational side, at the level an analyst or developer needs.
You will cover: ✓ Users and permissions · ✓ Backup and restore basics · ✓ Security principles · ✓ SQL Server on Azure
18 Projects and Interview Preparation
Turning SQL into an offer.
You will cover: ✓ Business case queries · ✓ Query optimisation exercise · ✓ SQL interview questions · ✓ Portfolio write-up
Tools covered
SQL tools and platforms you will use
Each tool, what it does, and where it shows up in the modules and projects.
Tool
Purpose
Where you use it
MySQL
Open-source relational database
Query practice throughout
PostgreSQL
Advanced open-source database
Window functions and CTEs
Microsoft SQL Server
Enterprise relational database
Procedures and administration
SQL Server Management Studio
Query and admin interface
SQL Server modules
MySQL Workbench
Query editor and schema design
Design and modelling
pgAdmin
PostgreSQL administration
PostgreSQL practice
DBeaver
Universal database client
Cross-database work
Sample databases
Realistic practice data
Every module
ER diagram tools
Schema design and modelling
Module 13
Execution plans
Query performance analysis
Module 15
Excel
Exporting and reviewing results
Reporting workflow
Power BI
Connecting SQL to dashboards
Reporting workflow
Python
Querying databases from code
Integration
Git and GitHub
Query portfolio hosting
Career module
Skills you will master
SQL skills you will learn
Twelve concrete capabilities you walk out with, aligned to what SQL interviews actually test.
01 ✓
SELECT and filtering
Writing precise queries with WHERE, IN, BETWEEN and LIKE.
02 ✓
Aggregation
GROUP BY, HAVING and the aggregate functions every report needs.
03 ✓
Joins
INNER, LEFT, RIGHT, FULL and SELF joins across many tables.
04 ✓
Subqueries
Scalar, correlated and EXISTS, and knowing when a join is better.
05 ✓
CTEs
WITH clauses and recursive queries, for SQL somebody can review.
06 ✓
Window functions
ROW_NUMBER, RANK, LAG, LEAD, running totals and moving averages.
07 ✓
Date and string handling
The functions that turn messy stored data into usable data.
08 ✓
Data manipulation
INSERT, UPDATE, DELETE and transaction control.
09 ✓
Database design
Keys, relationships, normalisation and ER diagrams.
10 ✓
Constraints
Enforcing integrity at the database rather than in code.
11 ✓
Performance
Indexes, views and reading an execution plan.
12 ✓
Stored procedures
Procedures, functions and triggers for repeatable logic.
Real projects
SQL projects you will build
Five projects on realistic databases. Each one is a query set or schema you can open in an interview.
Retail sales analysis
Problem — a sales database and a manager asking which products actually make money.
Flow — explore schema → join orders, products and customers → aggregate by category → margin report.
Outcome — the query pattern most analyst interviews ask you to reproduce.
Joins
GROUP BY
Aggregation
Customer cohort report
Problem — retention is falling and nobody can say from which month.
Flow — first-purchase dating → cohort assignment → window functions → retention matrix.
Outcome — window functions applied to a real business question.
Window functions
CTEs
Date functions
Database design from scratch
Problem — a business requirement and a blank schema.
Flow — entity identification → relationships → normalisation to 3NF → constraints and ER diagram.
Outcome — you can design a database, not only query one.
ER design
Normalisation
Constraints
Query optimisation exercise
Problem — a report that takes four minutes and should take four seconds.
Flow — execution plan → index analysis → query rewrite → measured comparison.
Outcome — the skill that gets a junior analyst noticed quickly.
Execution plans
Indexes
Tuning
Automated reporting procedure
Problem — a report someone runs manually every Monday morning.
Flow — requirement → stored procedure → parameters → scheduled execution and output.
Outcome — automation, which is what turns a query writer into an asset.
Stored procedures
Parameters
Views
Audience
Who can join this SQL course?
Suitable for a wide range of learners. No prior coding or analytics experience is required.
01
Complete beginners
No programming background needed. SQL reads close to English and is the friendliest first data skill.
02
Aspiring data analysts
SQL is the single most-tested skill in analyst interviews. Start here.
03
Non-IT graduates
B.Com, BBA and BA backgrounds learn SQL successfully every batch. It rewards logic, not maths.
04
Excel users
If you build pivot tables, you already think in SQL. This gives you the language for it.
05
Developers
Application code lives or dies on the queries behind it.
06
Testers and QA engineers
Database validation is a standard part of test coverage.
07
Working professionals
Weekend and evening batches, and 30 days is a realistic commitment alongside a job.
+
Future SQL professionals
Ready to stop exporting to Excel and start asking the database directly? This is the on-ramp.
SELECT · Joins · CTEs · Window functions
Your path
SQL learning roadmap: beginner to advanced
The order matters. Attempting window functions before joins are second nature is why most self-taught learners plateau.
01
Retrieve
Getting exactly the rows you want out of one table.
• SELECT and WHERE
• ORDER BY
• NULL handling
02
Summarise
Turning thousands of rows into an answer someone can read.
• Aggregate functions
• GROUP BY
• HAVING
03
Combine
Real questions never live in one table. This is the interview stage.
• All six join types
• Subqueries
• Set operations
04
Advance
The queries that mark you out as more than a beginner.
• CTEs
• Window functions
• Date and string functions
05
Build and optimise
Designing the database, then making it fast.
• Design and normalisation
• Indexes and plans
• Stored procedures
Your mentor
Your trainer
Trainer photograph
Upload a real image here
Lead Trainer
Mr. Harish
Certified trainer, SQL and database development.
9+ years of real-time experience, teaching SQL from a first SELECT through window functions and database design from the perspective of someone who has run production databases rather than only studied them.
Specialisations
Query writing and optimisation, joins and window functions, database design and normalisation, stored procedures, and SQL Server administration.
Teaching approach
Practical implementation first. Every query is typed and run against a real database in the same session.
Mentorship
One-to-one career support and guidance on which data path fits your background.
Support
Regular doubt-clearing sessions and lifetime access to the live session recordings.
Fees and modes
SQL course fees and training modes
Learn SQL live online or in our classroom near JNTU, or take it as part of the full Data Analytics programme.
Live online
₹20,000
30 days
• Live interactive classes, same trainer
• Recorded sessions for revision
• Practice on real sample databases
• Resume support and mock interviews
Most popular
Classroom
₹25,000
Near JNTU Metro · 30 days
• Face-to-face with the trainer
• Daily hands-on query practice
• One-to-one doubt clarification
• 5 projects and placement assistance
With Data Analytics
3 months
₹27,000 online · ₹30,000 classroom
• SQL alongside Excel, Python, Power BI and Tableau
• Right if your target is an analyst role
• 5 business projects across the full stack
• Placement support and mock interviews
Discounted offers run periodically. Confirm the current fee and the next batch date with a counsellor before enrolling.
Before you pay
Check us out before you enrol
We would rather you verify everything than take our word for it. Here is exactly how.
Sit in on a live class
Book a free demo and watch an actual session — the trainer, the pace, the datasets and the batch you would join. Nothing is staged for visitors.
Read our Google reviews
Open our Google Business Profile and read what learners wrote there. Google reviews are tied to real accounts, which is why we point you to them.
Ask who teaches the batch
Ask for the trainer's name and background before you enrol. A named trainer you can look up is the point.
Ask to see the queries
Ask what a finished student project actually looks like. If an institute cannot open a real query set or schema, the projects are a line on a brochure.
Compare the syllabus
Our full 18-module syllabus is on this page. Compare it module by module — particularly on joins, window functions and database design, which shorter courses skip.
Ask how much you type
Ask whether you write the queries or watch the trainer write them. That difference is the whole course.
Salary insights
SQL and data analyst salary in Hyderabad
Indicative market ranges by role. These are estimates, not offers.
Junior Data Analyst
₹2.5–5 LPA
Indicative annual range in Hyderabad. 0–1 year of experience.
SQL Developer
₹5–12 LPA
Indicative annual range in Hyderabad. 1–5 years of experience.
Data Analyst
₹3–6 LPA
Indicative annual range in Hyderabad. 0–2 years of experience.
Reporting Analyst
₹4–8 LPA
Indicative annual range in Hyderabad. 1–3 years of experience.
BI Developer
₹6–14 LPA
Indicative annual range in Hyderabad. 2–5 years of experience.
Database Developer
₹8–16 LPA
Indicative annual range in Hyderabad. 3–6 years of experience.
Disclaimer. Salary figures shown are indicative market estimates and are not a guarantee of earnings. Actual compensation depends on experience, skills, employer and interview performance.
Career paths
Career opportunities after the SQL course
The roles this syllabus maps to, and what each one is actually accountable for.
01
SQL Developer
Writes and optimises queries and procedures. Key skills: joins, procedures, tuning.
02
Data Analyst
Analyses data and builds reports. Key skills: SQL, Excel, Power BI.
03
Junior Data Analyst
Entry-level querying and reporting. Key skills: SELECT, joins, aggregation.
04
Business Analyst
Turns business questions into data questions. Key skills: SQL, communication.
05
Reporting Analyst
Prepares recurring business reports. Key skills: SQL, Excel, scheduling.
06
BI Developer
Builds dashboards on top of databases. Key skills: SQL, Power BI, modelling.
07
Database Developer
Designs schemas and database logic. Key skills: design, normalisation, procedures.
08
ETL Developer
Moves and transforms data between systems. Key skills: SQL, transformations.
09
Data Engineer
Builds data pipelines. Key skills: SQL, Python, warehousing.
10
Database Administrator
Runs and secures database systems. Key skills: backup, security, performance.
11
MIS Executive
Operational reporting and data maintenance. Key skills: SQL, Excel, accuracy.
12
Quality Analyst
Validates data as part of testing. Key skills: SQL, verification, documentation.
What makes us different
What should you pair SQL with?
SQL alone gets you some roles. What you pair it with decides the rest. Here are the routes.
If you want
Pair SQL with
Target role
Our programme
To build web applications
Python, HTML, CSS, JavaScript
Full Stack Developer
Python Full Stack Training
SQL work itself
Nothing else, initially
SQL Developer, MIS Executive
This page
To practise on your own
Sample projects
Portfolio building
The 5 course projects
Why 2026
Why SQL is worth learning in Hyderabad in 2026
Three things specific to this city and this year.
It is the most-tested data skill
Almost every analyst, BI and data engineering interview in Hyderabad includes a live SQL round. Not a discussion about SQL — writing it, on the spot.
It has not been replaced
Every wave of new tooling was supposed to make SQL unnecessary. Instead the tools all query with SQL underneath. It is fifty years old and still the standard.
30 days is a real commitment
Unlike most technical skills, SQL can genuinely be taken from zero to interview-ready in a month, because the language is small and the leverage is immediate.
Common questions, answered directly
Is SQL worth learning in 2026? Yes, and it is probably the highest-leverage single skill in data work. Small language, enormous applicability, and tested in almost every relevant interview.
Can a non-IT graduate learn SQL? Yes, and it is usually the easiest starting point in the whole data field. SQL is declarative — you describe what you want, not how to compute it.
How do I start? SELECT and WHERE, then aggregation, then joins until they are automatic, then subqueries and CTEs, then window functions, then design. In that order.
Frequently asked
Frequently asked questions
The twenty questions counsellors are asked most often, answered plainly.
What is the SQL course in Hyderabad?
It is instructor-led training in SQL from SELECT through window functions — filtering, aggregation, joins, subqueries, CTEs, window functions, database design, constraints, views, indexes, stored procedures and administration essentials. Eighteen modules with five projects, taught live near JNTU Metro or online.
What is the SQL course duration?
30 days. Weekday and weekend batches are available so you can fit it around work or a degree.
What is the SQL course fee in Hyderabad?
Online training is ₹20,000 and classroom training is ₹25,000, with discounted offers running periodically. Confirm the current fee and the next batch date with a counsellor before enrolling.
Do I need programming experience to learn SQL?
No. SQL is declarative and reads close to English, which is why it is usually the first data skill people learn. B.Com, BBA and BA graduates complete this course successfully every batch.
Is SQL easy to learn?
The basics are, which is why it is a good starting point. The parts people struggle with are joins, subqueries and window functions — which is exactly why those get dedicated modules with lab work rather than a passing mention.
Which database will I learn on?
MySQL and PostgreSQL for querying, and Microsoft SQL Server for procedures and administration. The SQL you learn transfers between them, and knowing more than one keeps you out of the filter when a job description names a specific system.
Are joins covered properly?
Yes, as their own module: INNER, LEFT, RIGHT, FULL OUTER, SELF and CROSS joins, practised by combining five related tables into a single report. Joins are the most-tested SQL topic in interviews.
Are window functions included?
Yes, as a full module. OVER and PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, running totals and moving averages. This is the topic that separates senior candidates from junior ones.
Is database design covered, or only querying?
Both. Module 13 covers primary and foreign keys, normalisation to 3NF, relationships and ER diagrams, with a project where you design a schema from a business requirement.
Are stored procedures and triggers covered?
Yes, in module 16, along with user-defined functions and parameters. One of the five projects is an automated reporting procedure.
Is query performance covered?
Yes. Views, index types, reading an execution plan and query optimisation basics, plus a project where you take a slow report and measure the improvement after rewriting it.
Is SQL Server administration included?
At the level an analyst or developer needs: users and permissions, backup and restore basics, security principles and SQL Server on Azure. Enough to work safely alongside a DBA rather than to become one.
Are real projects included?
Five: a retail sales analysis, a customer cohort report using window functions, a database design from scratch, a query optimisation exercise, and an automated reporting stored procedure.
Who is the trainer?
Mr. Harish, a certified trainer with 9+ years of real-time experience. Every batch is taught live by a named trainer rather than a rotating pool.
Is SQL enough on its own to get a job?
For some roles, yes — SQL Developer and MIS roles hire on SQL. For analyst roles it is usually SQL plus Excel and a BI tool. Our Data Analytics course in Hyderabad covers that full combination if that is your target.
What jobs can I get after learning SQL?
SQL Developer, Data Analyst, Junior Data Analyst, Reporting Analyst, BI Developer, Database Developer and ETL Developer are the common entry points in the Hyderabad market.
What salary can I expect in Hyderabad?
Entry-level analyst and reporting roles commonly advertise around ₹2.5–6 LPA, with SQL Developer roles reaching ₹5–12 LPA with a few years of experience. These are indicative market ranges, not a guarantee.
Is the training available online?
Yes. Live online batches run the same syllabus with the same trainer, with recorded sessions for revision.
Is classroom training available in Hyderabad?
Yes, at Dr Atmaram Estates near JNTU Metro Station in Hyder Nagar. Learners travel from KPHB, Kukatpally, Miyapur, Ameerpet, Madhapur and Gachibowli.
Is there a job guarantee?
No. We do not guarantee placement or any salary outcome. What we provide is structured training, five documented projects as a portfolio, interview preparation and placement assistance. The hiring decision belongs to the employer.
Get started today
Ready to start writing
real SQL?
Sit in on a live session before you commit. You will see the curriculum, the trainer, the datasets, the batch timings and how the projects work.
No obligation. Speak with a course counsellor and find out whether this programme is right for you.
18
Curriculum modules
14
Tools and platforms
5
Hands-on projects
Visit us
Visit or contact us
Our centre is at Dr Atmaram Estates, beside JNTU Metro Station in Hyder Nagar.
Institute
Data Analytics Masters
Phone
Address
3rd Floor, Dr Atmaram Estates, Metro Pillar No. A690, beside Siri Pearls & Jewellery, near JNTU Metro Station, Hyder Nagar, Vasantha Nagar, Hyderabad, Telangana 500085
Landmark
Metro Pillar No. A690, beside Siri Pearls & Jewellery
Hours
Monday to Saturday, 9:00 am – 8:00 pm