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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

The Data Monk Interview Books – Don’t Miss

Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.

10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates

23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)

12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package

Individual 50+ e-books on separate topics

Important Resources to crack interviews (Mostly Free)

There are a few things that might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews with Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-

All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics

About TheDataMonkGrand Master

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 :)

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