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#3 in PostgreSQLUdemyBestseller on UdemyPostgreSQLPaid courseAll LevelsCertificate

Zero to Hero in SQL: SQL for Data Analytics (Udemy.com)

(With Practice Labs and Gen AI updates) SQL course covering basic to advanced SQL topics for SQL Database (PostgreSQL)

Created by: Start-Tech Academy

Last updated September 2026

Our take

Based on the ratings of 14,123 students, a sample of their written reviews and the syllabus, as the course stood in September 2026. No course pays to be reviewed.

Start-Tech Academy's course is a compact, analytics-first SQL course built on PostgreSQL. The syllabus runs about 10 hours across 128 lectures and 27 sections, moving from basic SELECT statements through joins, subqueries, string and date functions, window functions, and a short block of interview theory and performance tips. It is aimed at working professionals and new graduates who need to query data, not build database applications. One reviewer says it can be finished on weekends or during office breaks, which matches the pitch. Over 430,000 students have enrolled and about 14,000 have left a rating, averaging 4.6.

What students praise most is the practice. Several reviews in the sample mention the exercises after each lesson, and one calls the browser-based practice platform great. Another says joins and subqueries were explained well, which fits the 100 minutes those two sections get. The complaints are consistent too. Three reviewers complain about the instructors' accents, one saying captions do not help, and one adds that the second instructor explains syntax verbally instead of writing it out. One reviewer found the auto-graded coding exercises picky about keyword case, another says some labs lack PostgreSQL solutions, and one harsh review says the course loses steam after the joins section and that later syntax is incomplete.

The course was last updated in September 2026, and an April 2026 update added practice labs, case studies and interview theory, so it is not stale. If you want to write reporting queries and can tolerate accented narration, it is a solid pick. Anyone who learns by listening rather than by doing may struggle with the delivery.

Best forWorking professionals who want SQL for reporting and analytics in about 10 hours, with a quiz or lab after every topic.
Skip it ifYou want a developer's view of PostgreSQL (schema design, transactions, app integration) or need clear native-English narration.

Pros

  • 52 auto-graded coding exercises and 67 quizzes, plus a browser practice platform a student says is great
  • Joins and subqueries get 100 minutes of dedicated lectures and a reviewer singles them out as well explained
  • Updated September 2026; the April 2026 update added practice labs, case studies and interview theory
  • Runs about 10 hours, so a reviewer says it fits a weekend or office breaks

Cons

  • Several reviewers say the instructors' accents make the narration hard to follow, even with captions
  • Coding exercises are picky about keyword case, so correct answers can be marked wrong
  • One 1-star review says the course flags after joins and the syntax taught after date-time functions is incomplete
Great fresher course for me! I especially love the exercises after each learning, a great way to affirm what you have just learned
Ash Govender, a student

Labelled all levels, but it is really a beginner to intermediate course; only a PC and a browser are required, no prior SQL.

Featured in our guide: The 10 Best SQL Courses on Udemy in 2026

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What you will learn

  • Knowledge of all the essential SQL commands
  • Become proficient in SQL tools like GROUP BY, JOINS and Subqueries
  • Become competent in using sorting and filtering commands in SQL
  • Master SQL's most popular string, mathematical and date-time functions
  • Enhance the performance of your Database by using Views and Indexes in SQL
  • Increase your efficiency by learning the best practices while writing SQL queries
  • Relevant theoretical concepts also covered so that you excel in SQL related interviews and Vivas
  • Solid understanding of SQL and database concepts

Course content

27 sections · 128 lectures · 10 hours of video 67 quizzes, 52 coding exercises, 1 practice test, 15 articles

  1. 1Introduction 1 free preview2 lectures · 5 min
  2. 2Installation and getting started 1 free preview3 lectures · 15 min
  3. 3Case Study : Demo2 lectures · 11 min
  4. 4Fundamental SQL statements15 lectures · 8 quizzes · 1.3 hours
  5. 5Restore and Back-up5 lectures · 24 min
  6. 6Selection commands: Filtering4 lectures · 4 quizzes · 20 min
  7. 7Selection commands: Ordering4 lectures · 3 quizzes · 13 min
  8. 8Alias1 lecture · 1 quiz · 4 min
  9. 9Aggregate Commands5 lectures · 5 quizzes · 17 min
  10. 10Group By Commands4 lectures · 3 quizzes · 36 min

Who it is for

The instructor says it suits

  • Working Professionals beginning their Data journey
  • Anyone curious to master SQL from beginner to Advanced in short span of time
  • Students about to join their first corporate job

What you need before you start

  • Just a PC with any web browser

How it compares

Against the other 47 rated Udemy courses in PostgreSQL on CourseDuck:

  • Rating4.6 out of 5higher than 85% of them
  • Reviews14,123#2 of 48 by number of reviews
  • Length10.4 hourslonger than 76% of them
  • Last updatedSeptember 2026more recently than 100% of them

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Quality Score

Content Quality
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Video Quality
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Qualified Instructor
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Course Pace
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Course Depth & Coverage
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Overall Score : 92 / 100

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Course Description

[April 2026 update]

  • Added a new section on how to practice SQL using fun case studies.

  • Added practice labs for practicing the concept while learning.

  • Added more videos on interview-related theoretical topics at the end of the course

6 Reasons why you should choose this SQL course

  1. Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses

  2. Comprehensive - covers basics, advanced SQL statements, PostgreSQL, mySQL, interview tips and performance tuning tips as well

  3. Business related examples and case studies based on SQL techniques, PostgreSQL, mySQL, data analysis techniques

  4. Ample practice exercises because, like any other data analysis tools, SQL requires practice

  5. Downloadable resources covering important topics on SQL

  6. Your queries on SQL and anything covered in the Masterclass will be responded by the Instructor himself

A Verifiable Certificate of Completion is presented to all students who undertake this SQL course.

Why should you choose this course?

This is a complete tutorial on SQL which can be completed within a weekend. SQL is the most sought after skill for Data analysis roles in all the companies. PostgreSQL, mySQL are highly desired skills for database management and data analysis roles. So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. They have an in-depth knowledge in advanced SQL, PostgreSQL, mySQL, database management, and various data analysis tools available in the market.

We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:

I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! - Sikiru

Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there is a practice sheet attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Solution to Assignment is also shared so that you can review your performance.

By the end of this course, your confidence in using SQL will soar. You'll have a thorough understanding of how to use SQL for Data analytics as a career opportunity.

Go ahead and click the enroll button, and I'll see you in lesson 1!

Cheers

Start-Tech Academy


FAQ's

Why learn SQL?

  1. SQL is the most universal and commonly used database language. It powers the most commonly used database engines like PostgreSQL, SQL Server, SQLite, and MySQL. Simply put, If you want to access databases then yes, you need to know SQL.


  1. It is not really difficult to learn SQL. SQL is not a programming language, it’s a query language. The primary objective where SQL was created was to give the possibility to common people to get interesting data from the database. It is also an English-like language so anyone who can use English at a basic level can write SQL queries easily.


  1. SQL is one of the most sought-after skills by hiring employers.


  1. You can earn good money

How much time does it take to learn SQL?

SQL is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn SQL quickly starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to learn SQL quickly.

What are the steps I should follow to learn SQL?

  1. Start learning from the basics of SQL. The first 10 sections of the course cover the basics.

  2. Once done with the basic try your hands on advanced SQL. Next 10 sections cover Advanced topics

  3. Next few sections will cover help you with interviews and Vivas.

  4. Practice your learning on the exercise provided in every section.

What's the difference between SQL and PostgreSQL?

SQL is a language. Specifically, the "Structured Query Language"

PostgreSQL is one of several database systems, or RDMS (Relational Database Management System). PostgresSQL is one of several RDMS's, others of which are Oracle, Informix, MySQL, and MSQL.

All of these RDMSs use SQL as their language. Each of them have minor variations in the "dialect" of SQL that they use, but it's all still SQL.

Which is better, PostgreSQL or MySQL?

Both are excellent products with unique strengths, and the choice is often a matter of personal preference.

PostgreSQL offers overall features for traditional database applications, while MySQL focuses on faster performance for Web-based applications.

Open source development will bring more features to subsequent releases of both databases.

Who uses these databases?

Here are a few examples of companies that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Red Hat, Sun Microsystem, Cisco, Skype.

What's special about this course?

The course is created on the basis of three pillars of learning:

  1. Know (Study)

  2. Do (Practice)

  3. Review (Self feedback)

Know

We have created a set of concise and comprehensive videos to teach you all the SQL related skills you will need in your professional career.

Do

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Instructor Details

Start-Tech Academy

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. 
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. 

Founded by Abhishek Bansal and Pukhraj Parikh.

Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in  MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.

Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.


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Reviews

4.6

14,123 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Saad Shakeel Fatmi on 8/29/2026

Easy to follow through and can be done on weekends or office breaks. I'm first watching all the videos will then practice when watch again.

By Sebastian Ricardo Borja Bustamante on 12/21/2025

Todos los ejercicios son claramente explicados y se demuestra visualmente cada paso. Asimismo, se tienen recursos de las clases para repasar y reforzar lo aprendido en la clase.

By Aiko Suwandy on 12/1/2025

Overall is a good class. i have learn a lot from this class. But there are some things to improve such as ways in explaining the course such as having image rather than only reading through the words would be better as well as improving on the voice accent

By Jason Smith on 10/19/2025

In Section 22: Data Type conversion functions, coding exercises 51 and 52 do not let you use 'to_char' or 'to_date', which were covered in the video lessons.

By Rajnish Kanojiya on 5/21/2023

This course is absolutely great course to learn for beginners as well as professional to understand SQL .The course is design in such a way that any one can understand easily . Thanks to udemy and Start-Tech Academy for such a NICE course.

By Kumar Nishant on 4/4/2022

I will keep increasing the stars as I progress the course. Till then Abhisekh and Pukhraj have some patience. I am a great admirer of both of you guys.

By James McCarthy on 11/2/2021

I took this course as someone who hasn't used SQL previously. This course is great - things are explained in detail, including small subtle things that help with understanding. Audio is good and at a good pace, and clear. Definitely feel confident using it now - I'll mainly use it for retrieving data and this was covered in detail, along with other things I may not use such as user access rights, creating a database etc, but interesting to see how that works also. Very good course and not too long either - take your time and practice, can skip bits if not relevant to you or won't use, its all clearly labelled.

By Nwanwobi Michael Chiedu on 11/1/2021

The lectures are well-explained and taught in layman's terms. I enjoyed the whole course and cannot wait to use this skill to improve my overall work.

By Elena Tchaprachakova on 12/9/2020

It is a good course, covering enough specs for a potential analyst job. Of course practice makes it perfect, i.e. the more practice the better. Will need to refer back to some of the functions in order to memorize, but considering I am not a developer is good enough to know from where to obtain the information.

By Garry Bissell on 10/8/2020

I found this to be an excellent course that covered many aspects of PostgreSQL in detail and with good examples and explanations. Thank you!

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