SQL: Interview Questions, Roadmap & Practice
Master SQL queries, joins, window functions, database design and tuning for data analyst, developer and data engineer jobs
About SQL
SQL is the standard language for storing, querying and managing data in relational databases such as MySQL, PostgreSQL and SQL Server, and it is also used in cloud warehouses like Snowflake and BigQuery. In India almost every IT services company, bank, e-commerce firm, startup and analytics company uses SQL daily for applications, reports and data pipelines. This course covers SQL basics, joins, aggregation, subqueries and CTEs, window functions, database design and normalisation, indexes and query performance, and transactions, views, procedures and triggers. It prepares you for roles such as Data Analyst, SQL Developer, Database Administrator, BI Developer, Data Engineer and backend developer.
- Duration
- 8 weeks
- Level
- Beginner → Advanced
- Tools
- MySQL, PostgreSQL, SQL Server, DBeaver, Snowflake, Git
All interview questions
200 questions with answers
View questionsCompany-wise
20 companies
View questionsExperience-wise
Freshers to 10+ years
View questionsRole-wise
6 job roles
View questionsCity-wise
20 cities
View questionsTopic sheets
8 topics
Open sheetsRoadmap
6 phases · 8 weeks
Open roadmapTop 50 most asked
Start here
View questionsMock interview
20 questions · 50 minutes
Start mockInterview rounds
Online test to managerial
View questionsLast-minute revision
30 quick notes
Revise nowRecorded course
Learn at your own pace
See course detailsTopics covered
Frequently asked questions
What jobs can I get after learning SQL?
SQL opens roles such as Data Analyst, MIS Analyst, SQL Developer, BI Developer, Database Administrator and Data Engineer, and it is a required skill for backend developers and many testers. In India, IT services companies, banks, fintech, e-commerce and analytics firms test SQL in most data-related interviews. Combining SQL with Excel, a BI tool like Power BI or Tableau, or Python greatly increases your job options.
Who can learn SQL and is coding experience needed?
Anyone comfortable with computers and basic logic can learn SQL. It is popular with B.Tech, BCA, MCA, B.Com, BBA, B.Sc and MBA students, and with working professionals in operations, finance, support and testing who want to move into data roles. No prior programming is needed, because SQL is declarative and reads close to English, though logical thinking and practice are essential.
How long does it take to learn SQL for interviews?
Most learners can write basic queries within two weeks of daily practice. Becoming interview-ready, including joins, aggregation, subqueries, CTEs and window functions, typically takes six to eight weeks with one to two hours a day. Solving 150 to 200 practice problems, building a small project and reviewing execution plans makes a strong difference in technical rounds.
Which database should I learn first: MySQL, PostgreSQL or SQL Server?
Core SQL is the same across all of them, so start with any one. MySQL is widely used in web applications and is simple to install, PostgreSQL is feature-rich and popular in startups and data teams, and SQL Server is common in enterprises and banks. Learn one deeply, then note dialect differences such as LIMIT versus TOP, date functions and upsert syntax.
Is an SQL certification useful?
Certifications from database vendors or cloud platforms can strengthen your resume, especially for DBA and data engineering roles in IT services companies. However, most interviewers test SQL live through coding problems, so practical skill matters most. A portfolio of solved problems, a project with real queries on a public dataset, and clear explanations of your logic usually create a stronger impression than a certificate alone.
Is SQL still relevant with AI tools that write queries?
Yes. AI assistants can draft queries, but professionals must check whether joins duplicate rows, whether NULLs and filters are handled correctly, and whether queries perform well on large data. Companies still test SQL heavily in interviews because wrong numbers in reports have real business impact. Strong SQL fundamentals also help you use AI tools faster and more safely.