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SQL

Practical SQL for MIS & Data Analysts — syllabus 2026

Twelve modules from database basics to window functions and CTEs, finishing with the SQL you actually write for MIS reports, KPIs and Power BI.

12 modules51 topicsBasics → Advanced → Analytics

Module-wise syllabus

Tap a module to see every topic. The same syllabus is used in our classroom and live online batches.

01Introduction to Databases & SQL5 topics
  • Databases, DBMS & RDBMS concepts
  • Relational vs non-relational databases
  • MySQL, SQL Server, Oracle, PostgreSQL
  • Tables, records & fields
  • Command types: DDL, DML, DQL, DCL, TCL
02Database & Table Management (DDL)5 topics
  • Create, select & drop databases
  • Creating tables & SQL data types
  • Constraints: NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK, DEFAULT
  • ALTER: add, modify, rename & drop columns
  • DROP vs TRUNCATE; schema & table-design best practices
03Data Manipulation (DML)5 topics
  • INSERT single, multiple & from another table
  • UPDATE with conditions & multiple columns
  • DELETE specific & all records
  • DELETE vs TRUNCATE vs DROP
  • Handling NULLs; data consistency & integrity
04Data Retrieval with SELECT5 topics
  • SELECT syntax, specific columns, DISTINCT
  • WHERE with comparison & logical operators
  • BETWEEN, IN, NOT IN, LIKE & wildcards
  • ORDER BY, LIMIT / TOP / FETCH
  • Aliases and expressions
05Functions in SQL5 topics
  • String: UPPER, LOWER, LENGTH, SUBSTRING, TRIM
  • Numeric: ROUND, CEILING, FLOOR
  • Date: CURRENT_DATE, NOW, DATEADD / DATEDIFF
  • Aggregates: COUNT, SUM, AVG, MIN, MAX
  • GROUP BY, HAVING, and WHERE vs HAVING
06Joins & Relationships4 topics
  • Primary vs foreign keys
  • INNER, LEFT, RIGHT, FULL & SELF JOIN
  • Joining multiple tables with conditions
  • Real-world join scenarios & performance
07Subqueries & Nested Queries4 topics
  • Single-row, multi-row & correlated subqueries
  • Subqueries in SELECT, INSERT, UPDATE, DELETE
  • IN, EXISTS, ANY, ALL
  • Practical use cases
08Views, Indexes & Sequences3 topics
  • Creating, updating & dropping views
  • Types of indexes; when to use them
  • Performance impact of indexes
09Transactions (TCL)3 topics
  • What a transaction is; ACID properties
  • COMMIT, ROLLBACK, SAVEPOINT
  • Auto-commit vs manual commit
10Security & User Management (DCL)3 topics
  • Creating users
  • GRANT & REVOKE privileges
  • Role management & security best practices
11Advanced SQL5 topics
  • CASE and IF / ELSE logic
  • Window functions: ROW_NUMBER, RANK, DENSE_RANK, OVER
  • Common Table Expressions (CTE)
  • Temporary tables & large datasets
  • Query optimisation basics
12SQL for Data Analytics & MIS4 topics
  • Queries for MIS reports & dashboards
  • KPI calculations & time-based analysis
  • Sales, finance & HR use cases
  • SQL with Excel & Power BI

Projects & practice

Sales & finance MIS queriesHR attrition data analysisKPI views for a Power BI dashboard

Programmes that include SQL

ProgrammeDurationFees
Basic MIS & Analytics3–4 months₹10,000
Advance MIS & Analytics4–6 months₹20,000
Professional MIS & Analytics + Job Placement6–8 months₹30,000

Learning only SQL? See the SQL course page or the local pages for Dwarka Uttam Nagar Janakpuri .

Frequently asked questions

Can I download the SQL syllabus as a PDF?

Yes. Use the “Download syllabus PDF” button on this page — enter your name and mobile number and the PDF opens instantly.

How long does the SQL course take?

It is taught inside our programmes: Basic MIS & Analytics (3–4 months, ₹10,000); Advance MIS & Analytics (4–6 months, ₹20,000); Professional MIS & Analytics + Job Placement (6–8 months, ₹30,000). Module-wise batches are also possible — ask the counsellor.

Is it online or classroom?

Both. Classroom batches run at our Dwarka, Uttam Nagar and Janakpuri branches, and live online batches are available.

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