Advance SQL topics for Analytics Role | Day 8

Welcome to the 6th Day of Machine Learning Interview Questions – Advance SQL topics for Analytics Role
You can go through the question and answer for
Day 1
Day 2
Day 3
Day 4
Day 5
Day 6

Advance SQL topics for Analytics Role

In this series, all you need to do is to go through the questions and try to attempt it with whatever knowledge you have.

Before or after you attempt the questions, do go through the complete road map about what you need to study to crack an analytics role. We have covered from 3rd years as college student to 8 years of analytics or non-analytic experience. Make sure you understand where to emphasize more(after all by the end of the day you want to crack an interview)

Complete Roadmap for cracking an Analytics Role in the next 30 days

Now, coming back to our questions. Remember, these are the most asked questions in an interview, if you are shy to answer the questions in the comment section, make sure to Google the answer and jot it down in your notebook.

Advance SQL topics for Analytics Role

SQL Advanced Topics and Questions

Some of the most important topics are

– Execution of SQL commands
– Basics of self-join
– Window functions like Row_number, Rank, Dense Rank, Lead, and Lag
– Running sum in a table
– Optimisation of queries
– Partition in SQL
– Hands-on handling JSON and Arrays
– How to extract an element from a JSON table
– Pivoting a table
– Hands-on in applying regular expression in SQL
– Difference between self, left, right, outer and inner join
– Normalization of tables in SQL (1NF, 2NF, 3NF, 3.5 NF, 4NF)

– Exploding a column with Array or JSON data type i.e. UNNESTING a column
– Handling different date and time functions
– Concentrate more on Self Join and Cross join as their concepts and understanding are a bit complex

– Writing optimised query to handle both time and space complexity
– Debugging error in SQL code

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The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

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You can check out all the other e-books on our e-shop page – Do not miss it


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Author: TheDataMonk

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)