Learn how to retrieve, combine, analyse and organise data using SQL.
This live SQL course online in India takes you from relational database foundations and core queries to joins, subqueries, CTEs, views, procedures, transactions, indexes, optimisation and practical reporting projects.
Share your current role, learning goal and preferred batch. A NeoNex MindX course advisor will explain the curriculum, fee, schedule and the right progression path after this SQL course.
This is a live online SQL course that teaches you how relational databases store data and how to write queries for analytics, reporting and database operations. The course progresses from SELECT statements and filtering to joins, common table expressions, views, stored procedures, transactions, indexes and query optimisation.
Beginners, analysts, business professionals, developers, data-science learners and data-engineering aspirants can join. Previous database experience is not required.
You will create databases, write reusable reporting queries, combine multiple tables, design data-quality checks and complete analytical SQL projects.
Memorising syntax without understanding tables, relationships and the question behind the query leads to confusion. This course focuses on the logic behind every query.
Instead of only remembering commands, you learn how to interpret the business question, understand the data structure, choose the right query method and explain why your SQL works.
Build the database skill required for analyst, business intelligence and reporting workflows.
Move beyond spreadsheet-only reporting and work with larger, structured datasets.
Learn to answer practical questions using customer, sales, process and performance data.
Strengthen database querying, data validation and backend troubleshooting skills.
Prepare data, create features and retrieve training datasets directly with SQL.
Build the relational foundation required before advanced pipelines and warehouse systems.
Learn how tables, keys and relationships organise information.
Use filtering, sorting, conditions and functions to answer direct questions.
Apply aggregations, CASE expressions, GROUP BY and HAVING to create reporting logic.
Use joins, set operations, subqueries and CTEs to answer multi-step questions.
Build views, procedures and functions for repeatable analysis and database work.
Understand transactions, indexes, integrity and optimisation habits.
Create practical SQL query packs and explain your logic clearly.
The curriculum progresses from relational database foundations into query building, advanced SQL logic, database reliability, optimisation and applied projects.
Learn relational database concepts, tables, keys, constraints, normalisation and essential query syntax.
Build business reports using functions, GROUP BY, CASE logic, joins and set operations.
Write readable multi-step queries and create reusable database logic.
Learn transactions, triggers, indexes, optimisation and complete practical reporting projects.
The exact SQL-compatible practice platform may vary by batch while preserving the same learning outcomes.
Practical SQL projects help you convert query concepts into reusable reporting work, portfolio proof and interview-ready explanations.
Query orders, products and customer tables to calculate revenue, average order value, category trends and regional performance.
Identify repeat customers, inactive customers, purchase frequency and cohort-style behaviour using joins, subqueries and CTEs.
Track stock levels, delayed orders, fast-moving products and operational exceptions across connected tables.
Create employee, department and attendance tables, apply constraints and produce practical HR reports.
Understand the question, tables and relationships before writing commands.
Start with database foundations and move gradually into advanced SQL.
Use sales, customer, inventory, operations and workforce examples.
Ask questions during sessions and correct query logic with mentor support.
Build practical SQL proof and practise explaining queries clearly.
Understand whether to continue into Data Analytics, Business Analytics, Data Science or Data Engineering.
Every batch is designed to support practical learning, revision, project feedback and clear next-step guidance.
Interactive classes with guided practice and doubt support.
Class recordings, notes and supporting learning resources.
Topic-level exercises and structured practice tasks.
Feedback on query logic, output quality and explanation.
Issued after meeting applicable attendance, assessment and project requirements.
Support in choosing the next course or complete career program based on your goal.
Live sessions combine SQL training, business examples, assignments, projects and professional readiness with trainers covering analytics, data engineering, AI, development, QA, DevOps and communication skills.
Trainer allocation may vary by module and batch.
Developer & QA
DevOps
Data Analytics, Business Analytics, Data Science & AI
Data Analytics, Business Analytics, Data Science & AI
Data Analytics, Business Analytics, Data Science & AI
Data Analytics & Data Engineering
Developer & QA
Communication Skills, Soft Skills & Profile Building
SQL is a high-value supporting skill across analytics, business intelligence, software, data science and data engineering.
Data Analyst Trainee · SQL Reporting Analyst · MIS Analyst · Business Intelligence Learner · Database Support Associate · Data Engineering Aspirant.
Choose Data Analytics when you want Excel, Power BI, Tableau, Python, statistics and analyst-role preparation.
Choose Business Analytics when you want stronger KPI, reporting, process and decision-support capability.
Choose Data Science when you want predictive modelling, statistics and machine learning.
Choose AI/ML Engineering when you want deeper model building, APIs, deployment and production workflows.
Choose Data Engineering when you want databases, ETL, warehouses, Spark, Kafka, Airflow and cloud data systems.
The following profiles are illustrative scenarios. They are not verified learner testimonials.
Move from manual spreadsheet reporting to reusable SQL queries for monthly performance reports.
Build database fundamentals and interview confidence before joining a Data Engineering pathway.
Use joins and aggregations to analyse campaign, customer and conversion data.
Strengthen data validation and troubleshooting by querying application databases directly.
Answer operational questions using structured data instead of relying on manual extracts.
Use SQL as the database foundation before moving deeper into dashboards, Python and statistics.
Batch availability and start dates may vary. Confirm the current schedule before enrolment.
Saturday and Sunday. Long guided practice blocks across the weekend.
Monday to Friday. Start the day with live mentor-led SQL learning.
Monday to Friday. Designed for learners balancing college or work.
Speak with a course advisor about your current level, goal, schedule and the next program you may need after this short course.
Yes. It starts with relational database concepts, tables, keys and basic queries before progressing into joins, subqueries and advanced topics.
The planned duration is 4–6 weeks, depending on the batch schedule, practice requirements and project completion.
The course teaches transferable SQL concepts in a practical relational database environment. The exact practice platform is shared during batch onboarding.
Yes. It covers multiple join types, set operations, subqueries, correlated subqueries and common table expressions.
Yes. The course includes views, stored procedures, functions, transactions, triggers, indexes and optimisation foundations.
Yes. SQL is used to retrieve, combine and summarise data before it is analysed in Excel, Python, Power BI or Tableau.
Yes. You will complete projects involving sales, customers, inventory, operations and workforce reporting.
No. Basic computer knowledge and logical thinking are enough to start.
Yes. LMS access includes class recordings, notes and supporting resources.
A NeoNex MindX course completion certificate is provided after meeting the applicable attendance, assessment and project requirements.
The current listed fee is ₹10,000. Contact the course advisor for the next batch date and payment details.
Submit the enquiry form, call 84318 03839 or request the syllabus. A course advisor will guide you through the batch and enrolment process.
Get the full SQL syllabus, choose a batch that fits your schedule and build the query skills required for analytics, reporting and database work.