SQL for Data Analytics Course in Greater Noida (Alpha 1)
Joins, aggregations and window functions on real databases, plus database design and management. 22 modules with two projects, built for analyst and SQL roles.
What is the SQL for Data Analytics course?
The SQL for Data Analytics course at Skill Training Institute, Alpha 1, Greater Noida is a 2-month program with 22 modules in 4 phases. You learn SQL on MySQL from basic queries to joins, aggregations and window functions, then database design, views and stored procedures, and finish with two projects.
Last updated:
What's inside the course
Built around one goal: getting answers from data.
- SQL fundamentals: SELECT, filtering and functions
- Joins, subqueries and aggregations
- Window functions and CTEs
- Database design, normalisation and star schema basics
- Views, indexes, stored procedures and triggers
- Two projects and interview preparation
Learn by doing
Every phase ends with practice on business-style data.
Full syllabus: 22 modules, 4 phases
Every module has its own focus. Filter or search.
Phase 1: SQL Foundations Modules 1–5, Weeks 1 to 2
Databases, Tables & MySQL Setup SQL basics
Understand how relational databases work.
- Tables, rows, columns and keys
- Installing MySQL and Workbench
- Data types
- Creating your first database
SELECT, WHERE & Sorting SQL basics
Retrieve the data you need.
- SELECT and aliases
- WHERE with comparison and logical operators
- ORDER BY and LIMIT
- DISTINCT
Filtering: IN, BETWEEN, LIKE & NULL SQL basics
Filter data precisely.
- IN and BETWEEN
- Pattern matching with LIKE
- Handling NULL values
- Combining conditions
Functions: String, Date & Numeric SQL basics
Transform values inside queries.
- String functions
- Date and time functions
- Numeric functions
- Type conversion
DDL & DML: CREATE, INSERT, UPDATE, DELETE SQL basics
Build and change data safely.
- CREATE, ALTER and DROP
- INSERT, UPDATE and DELETE
- Constraints
- Practice on a sample database
Phase 2: Analytics SQL Modules 6–12, Weeks 3 to 5
Aggregations & GROUP BY Analytics SQL
Summarise data in the database.
- COUNT, SUM, AVG, MIN, MAX
- GROUP BY
- Grouping by multiple columns
- Business summary queries
HAVING, CASE & Conditional Aggregation Analytics SQL
Build report-ready metrics.
- HAVING vs WHERE
- CASE expressions
- Conditional aggregation
- Pivot-style reports
Joins Analytics SQL
Combine tables correctly.
- INNER, LEFT, RIGHT and FULL joins
- Self joins
- Joining three or more tables
- Avoiding duplicate rows
Subqueries & Set Operations Analytics SQL
Nest queries to answer harder questions.
- Subqueries in WHERE and FROM
- EXISTS and IN
- UNION and INTERSECT
- Correlated subqueries
Window Functions: Ranking Analytics SQL
Rank and number rows.
- ROW_NUMBER, RANK and DENSE_RANK
- NTILE
- PARTITION BY and ORDER BY
- Top N per group
Window Functions: LAG, LEAD & Running Totals Analytics SQL
Compare rows over time.
- LAG and LEAD
- Running totals
- Moving averages
- Month-over-month change
CTEs & Recursive Queries Analytics SQL
Write readable, layered SQL.
- Common table expressions
- Multiple CTEs
- Recursive CTE basics
- Refactoring long queries
Phase 3: Database Design & Management Modules 13–17, Weeks 5 to 7
Database Design: ER Diagrams, Keys & Relationships Database design
Design tables that make sense.
- Entity-relationship diagrams
- Primary and foreign keys
- One-to-many and many-to-many
- Designing a small database
Normalisation & Data Modelling for Analytics Database design
Organise data for accuracy and reporting.
- 1NF, 2NF and 3NF
- Denormalisation trade-offs
- Fact and dimension tables
- Star schema basics
Views, Indexes & Query Performance Database design
Make queries reusable and fast.
- Creating views
- Indexes
- Reading execution plans with EXPLAIN
- Query tuning basics
Stored Procedures, Functions & Triggers Database design
Automate logic in the database.
- Stored procedures with parameters
- User-defined functions
- Triggers
- Error handling
Transactions, Users & Backup Database design
Keep data safe and consistent.
- ACID and transactions
- COMMIT and ROLLBACK
- Users and privileges
- Backup and restore
Phase 4: Projects & Career Modules 18–22, Weeks 7 to 8
Connecting SQL to Excel, Power BI & Python Projects & career
Use SQL results in analysis tools.
- Importing SQL data into Excel
- Connecting Power BI to MySQL
- Reading query results in Python overview
- Exporting results
MySQL and SQL Server: Dialect Differences Projects & career
Recognise the differences you will meet at work.
- Common syntax differences
- Top vs LIMIT
- Date and string function differences
- T-SQL overview
Project 1: Sales & Customer Analytics in SQL Projects & career
Answer business questions with queries.
- Business brief and schema
- Joins and aggregations
- Window functions for trends
- Insights summary
Project 2: Database Design & Reporting Projects & career
Design a database and report from it.
- ER design and normalisation
- Building tables and constraints
- Views and stored procedures
- Reporting queries
SQL Interview Preparation & Portfolio Projects & career
Get ready for SQL interview rounds.
- Common SQL interview questions
- Timed query practice
- Portfolio and GitHub basics
- Mock interview
Tools update often, so we teach current versions. Phase timing is indicative.
Tools you will use
Taught hands-on inside project work.
Database
- MySQL
- MySQL Workbench
- SQL Server differences
Querying
- SELECT and joins
- Subqueries
- Window functions
- CTEs
Design & management
- ER diagrams
- Normalisation
- Views
- Indexes
- Stored procedures
- Triggers
Connect & analyse
- Excel
- Power BI
- Python overview
Hands-on projects
Practice sets build up to two projects.
- Practice on a sample employee database
- Sales summary with GROUP BY
- Customer analysis with joins
- Ranking and top N per group
- Month-over-month trend with window functions
- Database design with ER diagram
- Views and stored procedures
- Sales and customer analytics project
- Database design and reporting project
Who is this course for?
Beginners, working professionals and business owners.
| If you are | You will |
|---|---|
| Students & freshers | A core data skill you can learn in 2 months. |
| Excel users & MIS staff | Move from spreadsheets to querying large databases. |
| Aspiring data analysts | Build the SQL base that analyst interviews test. |
| Testers & developers | Query and design databases for your projects. |
| Business owners & managers | Pull answers from your own data. |
| Freelancers | Offer data extraction and reporting work. |
Career opportunities
Entry-level roles this program prepares you for. Outcomes vary by learner.
- Junior Data Analyst
- SQL Developer Trainee
- Reporting Analyst
- BI Analyst Trainee
- Database Administrator Trainee
- MIS Executive
SQL for Data Analytics vs related courses
Pick the right course for your goal.
| Course | Duration | Focus |
|---|---|---|
| SQL for Data Analytics (this course) | 2 months | SQL from basics to window functions, plus database design: 22 modules |
| Data Analytics | 6 months | Excel, SQL, Power BI, statistics, Python and AI tools: 42 modules |
| Advanced Excel & Power BI | 3 months | Advanced Excel, Power Query, VBA and Power BI dashboards: 30 modules |
What is included
Everything in one program.
- 22 modules in 4 phases
- 5 SQL foundations modules
- 7 analytics SQL modules
- 5 database design and management modules
- 2 projects and interview preparation
- Certificate from Skill Training Institute
Certificate on completion
Awarded by Skill Training Institute after you complete the program.
Frequently Asked Questions
About the SQL for Data Analytics course.
What is the SQL for Data Analytics course?
It is a 2-month program at Skill Training Institute, Alpha 1, Greater Noida with 22 modules in 4 phases. It teaches SQL from basic queries to joins, aggregations and window functions, then database design, stored procedures and two projects.
Do I need coding experience?
No. The course starts from what a database is and builds up step by step, so freshers and Excel users can follow.
Which database do you teach on?
MySQL with MySQL Workbench. A module also covers the main differences you will meet in SQL Server, such as T-SQL syntax.
Are window functions covered?
Yes. Two modules cover ranking functions, LAG and LEAD, running totals and moving averages, followed by CTEs and recursive queries.
Does the course cover database design?
Yes. Phase 3 covers ER diagrams, keys, normalisation, star schema basics, views, indexes, stored procedures, triggers, transactions and backup.
Are Python or Power BI included?
Only as a short module on connecting SQL to Excel, Power BI and Python. Full Power BI and Python training is in our Data Analytics course, which is 6 months long.
What projects will I do?
A sales and customer analytics project using joins and window functions, and a database design and reporting project with views and stored procedures.
What kind of jobs does this prepare me for?
Entry-level roles such as junior data analyst, SQL developer trainee, reporting analyst, BI analyst trainee and database administrator trainee. Outcomes vary by learner, and we do not guarantee a job. The last module covers interview preparation.
Will I get a certificate?
Yes. Skill Training Institute awards a certificate after you complete the course. Details such as name, course, dates and grade are filled in per student.
What is the fee, and can I attend a demo class first?
Fees depend on the mode and batch you choose. WhatsApp or call +91-9773854034 for the current fee, batch timings and to book a free demo class.
Ready to learn SQL?
504, MSX Tower-2, Alpha-1 Commercial Belt, Greater Noida. Email contactus@skilltraininginstitute.in or see all courses.