Advanced SQL for Data Professionals
Window functions, CTEs, query plans, modelling for analytics and writing SQL that scales.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 16 Jan 2027 · 24 hours · 3 days
Advanced SQL for Data Professionals
Duration: 24 hours · 3 days
Next batch: Sat, 16 Jan 2027
Format: Online live · Bengaluru classroom
Modules: 8 · Topics: 38
Level: Intermediate to Advanced
Fee: ₹10,999
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Advanced SQL for Data Professionals | Sat, 16 Jan 2027 | Online live | Weekend (Sat) | 4 Saturdays | Enquire |
| Advanced SQL for Data Professionals | Wed, 24 Mar 2027 | Bengaluru classroom | Weekday | 3 days | Enquire |
Soaring demand, and where it takes you
SQL remains the most widely used data skill across analyst, engineer and scientist roles.
Become an expert
Roles this programme prepares you for:
Become a Senior Data Analyst
Answers complex business questions with efficient SQL.
- Write complex joins and subqueries confidently
- Use window functions for rankings, running totals and gaps
- Structure queries with CTEs
About the course
Advanced, practical SQL for people who work with data every day: complex joins, window functions, CTEs, analytical patterns, reading query plans and writing SQL that performs at scale.
Window functions, CTEs, query plans, modelling for analytics and writing SQL that scales.
Why should I attend?
Analysts and BI developers
Data engineers
Testers and QA engineers working with data
Developers who query databases
Prerequisites
Basic SELECT, WHERE and GROUP BY
Level
Intermediate to Advanced
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 24 hours · 3 days
Course fee (open batch): ₹10,999
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Write complex joins and subqueries confidently
- Use window functions for rankings, running totals and gaps
- Structure queries with CTEs
- Read query plans and add the right indexes
- Model data for analytical queries
- Avoid common correctness pitfalls such as NULLs and duplicates
Skills you will gain
Querying
Performance
Correctness
Tools and platforms covered
PostgreSQL
Snowflake
Google BigQuery
DBeaverCourse curriculum
M01 SQL refresher
- Joins
- Aggregations
- Subqueries
- Set operations
- CASE expressions
🧪 Hands-on: Solve business questions
M02 Window functions
- Ranking
- Running totals
- LAG and LEAD
- Frame clauses
- Sessionisation
🧪 Hands-on: Build a cohort analysis
M03 Structuring queries
- CTEs
- Recursive queries
- Views
- Pivoting and unpivoting
- Gaps and islands
🧪 Hands-on: Refactor a messy query
M04 Performance
- Query plans
- Indexes
- Partitioning
- Statistics and cardinality
- Anti-patterns
🧪 Hands-on: Speed up a slow query
M05 Analytical modelling
- Star schemas
- Incremental models
- Slowly changing dimensions
- Snapshot tables
- Data vault overview
🧪 Hands-on: Model a reporting table
M06 Correctness and testing
- NULL logic
- Duplicates
- Data tests
- Reconciliation queries
- Data-quality checks in SQL
🧪 Hands-on: Write tests for queries
M07 Semi-structured and advanced SQL
- JSON functions
- Arrays
- Date-time handling
- Dialect differences
🧪 Hands-on: Flatten nested JSON into analytic tables
M08 Capstone: analytics SQL project
- Requirements
- Model
- Optimise
- Present
🧪 Hands-on: Build and tune a reporting model on a sample warehouse
Hands-on projects
Analytics query pack
A set of tested, performant queries answering real business questions.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Advanced SQL for Data Professionals. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Which database is used?
PostgreSQL by default; we highlight differences with your database.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹10,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
24 hours · 3 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
Advanced, practical SQL for people who work with data every day: complex joins, window functions, CTEs, analytical patterns, reading query plans and writing SQL that performs at scale.
What is Advanced SQL for Data Professionals?
Window functions, CTEs, query plans, modelling for analytics and writing SQL that scales.
Who this course is for
Analysts and BI developers, Data engineers, Testers and QA engineers working with data, Developers who query databases.
What you will be able to do
Write complex joins and subqueries confidently. Use window functions for rankings, running totals and gaps. Structure queries with CTEs. Read query plans and add the right indexes. Model data for analytical queries. Avoid common correctness pitfalls such as NULLs and duplicates.
Career paths
Roles this course supports include Senior Data Analyst, Analytics Engineer, Data Engineer. SQL remains the most widely used data skill across analyst, engineer and scientist roles.
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