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Zero to Hero in SQL: SQL for Data Analytics

4.5(14,054) on Udemy·430K enrolled
Beginner 10.5 hours English Course Certificate
SkillsSQLQueriesJoinsAggregationData analysisFiltering

Is this course right for you?

Our take
A fast, affordable, practical route to job-relevant SQL for data analysis. With over 429,000 students it is a well-taken, analytics-focused SQL course.

Good for: beginners who want practical SQL for data analysis quickly.

Skip if: you already know SQL, or you want database administration depth.

Start-Tech Academy teaches PostgreSQL from CRUD and filtering through joins, aggregations, views and indexes, with 52 coding exercises and business-context case studies rather than abstract drills. There is a dedicated interview-prep section too.

It stays in the analysis lane, so it does not cover database administration, performance tuning or design, and someone who already knows SQL will find it basic. On price, wait for a Udemy sale.

Comparison · LBS

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About this course

This course teaches SQL fundamentals through advanced topics using PostgreSQL and pgAdmin, covering CRUD operations, filtering, sorting, aggregate functions, GROUP BY/HAVING, joins, views, and indexes, with 52 coding exercises and practice labs woven throughout, plus a dedicated section on SQL interview and viva preparation.

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Instructor

PP
Pukhraj Parikh & Abhishek Bansal
Udemy instructor

Start-Tech Academy is led by Pukhraj Parikh and Abhishek Bansal, both with IIM Ahmedabad/IIT Roorkee backgrounds and prior experience in analytics consulting and telecom acquisition roles.

Frequently asked questions

The angle is analytics rather than software development. You still learn the full SQL toolkit — filtering, joins, grouping, subqueries — but the framing is about answering business questions from data, so it leans into aggregation, analytical queries, and the kind of reporting an analyst does daily. If your goal is data analysis rather than building app back ends, that focus makes it more directly relevant.

Both PostgreSQL and MySQL, which is a genuine plus, since these are the two open-source engines you are most likely to meet in analytics and data roles. The core SQL you learn is shared between them, and seeing where the two differ — small syntax and function variations — means you are not thrown when a job uses one rather than the other.

Yes. The instructors, Abhishek and Pukhraj, build from the very basics and assume no prior database or programming knowledge, taking you up to more advanced analytical queries by the end. It is designed as a compact, weekend-length course, so it moves at a fair clip, but beginners who follow along and run the queries themselves keep up fine.

It gives you the SQL foundation that analyst roles genuinely require day to day, which is a real step. On its own, though, most analyst jobs also expect spreadsheet fluency, a visualisation tool like Power BI or Tableau, and the judgement that only comes from working with messy real data. Use this to get solid at SQL, then round out the rest of the toolkit.

It is a paid Udemy course that is discounted often and heavily, so buying during one of Udemy's regular sales brings it to a small one-off price rather than the full list figure. The same material is also offered through the instructors' own Start-Tech Academy site. Once bought on Udemy, you keep lifetime access to revisit the analytical sections later.
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