10 Tricky SQL interview Questions – 4/5
10 Tricky SQL interview Questions
What is the most important ingredient in a good Analyst?
The ability to crunch numbers and by far SQL has been the most important weapon of any Analytics Professional. it’s easy to use and understand. But, you can easily be surprised by the difficulty level and variety of questions asked in SQL interviews. I highly recommend you to go through the Daily Quiz Questions as well
10 Tricky SQL interview Questions
You can answer the question or can upvote the already-answered questions
- What is the use of IFNULL and ISNULL in SQL?
- Write a SQL query to create a Table 3 that contains the following columns- Id, First_Name, Last_Name, Salary
- .Creating subqueries.
- Remove duplicate entries from the table.
- How can you eliminate duplicate rows from a query result?
- Which join is used to join a table with itself?
- Guess the question.Using wildcards in MySQL.
- Perform the SQL instructions as specified.
- List the products from each brand.
- Write query for the problem statement.
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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:-
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
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics
Keep Learning !!
Thanks,
