SQL for Newcomers – A Crash Course

A course optimized to master SQL quickly

Prepare your machine to run SQL

Able to select & filter data

Sort and group data preparing for reports

Learn about functions in SQL


  • Have a PC or laptop to work on. Your old clunky notebook will do.
  • Can work on any operating system (Windows, Linux & MacOS).


“Wow! I really regret learning SQL”

– No one ever


I’m Sameh Sharaf. I am a data engineer. I work on data since 2010 so I guess I can say I’m experienced enough.

This course will teach you how to use SQL (Structured Query Language), a language so prominent for relational databases, such as MySQL, PostgreSQL, SQLlite and more.

SQL now is a great skill to have if you want to work as a data analyst, data scientist, BI developer, data engineer, database administrator or even a software developer/engineer, since all these jobs need to use databases and data in a daily basis.

I’m a beginner, is this course for me?

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Of course! This course was done for beginners. Even students with some experience in SQL may find it useful as well, to memorize some keywords and functions, as well as learning more about the bits they may miss.

Is there any prerequisites to attend this course?

The only thing you need is a PC or laptop with average performance and any operating system installed on. We’ll be using Windows 10 for this course but the OS does not matter since the tech we’ll be using is cross-platform and can work on Linux and Mac.

This course was great, but I want to learn more. What should I do?

Fret not! I have the full SQL course ready for you. It has over 11 HOURS of goodies. Look for: “SQL for newcomers: The Mastery Course”

Psst.. Can I get a discount for your awesome Mastery course??

Send me a message and I will give you a $9.99 coupon! How cool is that!

Enjoy the course and happy learning!

Who this course is for:

  • Students aspiring to become data analysts, scientists or engineers
  • Junior developers who need to work on relational databases.
  • Junior data analysts and scientists.
  • Undergraduate students who study relational databases in their curriculum.
  • Anyone who’s interested to learn SQL and add it to their resume.
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