Why did you create this course?
SQL is a must know programming language for any analytics track data scientists, it is the lingra fraca for processing and managing data in the industry. I’ve been using SQL for many years, and it is still my go to language to prepare and manage data.
However, it is not a strong-typed language, and there are many popular database systems with different syntaxes and built-in functions, it could be very confusing for first timers.
As a hiring manager or part of the hiring committee, I often ask a lot of SQL questions during a data scientist job interview, and to make sure the candidate will be hands-on at work.
However, in my 15 years career, I have met so many fresh college graduates or young professionals starting their job searches without a solid coding skills in SQL, and in the end, they didn’t get a job offer.
The SQL interview can have other names or formats such as Technical Analysis during a FAANG company interview, you might be asked to perform a series of SQL operations to extract data and insights, and answer follow up questions.
(*) FAANG: facebook, amazon, apple, netflx and google