Most Asked SQL Interview Questions
In this post, we will check all the resources that you would require to crack Analytics interview’s SQL round. You can very well cover the syllabus of SQL in 7 days with The Data Monk. Just try to follow the resources below. Also, we cover most asked SQL interview questions so that you can be a very strong candidate for any SQL interview round.
The resources are split into 3 parts
1. SQL Blogs on The Data Monk, we cover the most important concepts as well questions that are asked in the interviews
2. SQL Most important concept videos – We have 40+ videos on Youtube Freely available, these are not simple concepts or basic questions(like in other channels). We only concentrate on the most important concepts with respect to the interview questions
3. SQL 550 Interview Questions e-book bundle – This is the master set of questions, learn it and you will be able to solve more than 90% questions in any SQL round
SQL Interview Questions and Blogs
– SQL Blogs:
Coming soon
– SQL interview questions solved and posted by our 22000+ users:
200+ SQL Interview Questions and Answers freely available
SQL Videos
– Complete playlist of SQL –
SQL Complete Playlist – Click here
– List of all the Youtube videos
- Fetch Duplicate Rows in SQL – https://youtu.be/MGHNrxsHKcg
- Like Operator in sql – https://youtu.be/IqMMbH6Jw0w
- Substring and Replace in SQL – https://youtu.be/Pzb9tBdXKyc
- Aggregate Functions in SQL – https://youtu.be/6H5neKpUz9E
- Cumulative Sum in SQL – https://youtu.be/COEEGPXjNbk
- Row number() in SQL – https://youtu.be/1actE8UL4yM
- Ntile() – https://youtu.be/xbjyXk7oSdY
- Rank vs Dense Rank – https://youtu.be/f32Yne_4G00
- Where vs Having – https://youtu.be/rtZpbyyQtVk
- Lead and Lag – https://youtu.be/U_OQD3XpagQ
- Joins – https://youtu.be/_V38OgS1s5M
- Keys – https://youtu.be/yPZG6qurO_Q
- 1NF and 2NF – https://youtu.be/7CyxIOj9zTs
- 3 NF and BCNF – https://youtu.be/VuJ7gnaas5k
- Most Asked Interview Questions – https://youtu.be/UGTsPRUIkYg
- Odd even rows – https://youtu.be/-tLTAuvHAU0
- Delete vs Truncate vs Drop in SQL – https://youtu.be/cSM86aZRhMo
- SQL Tricky Analytics Interview Questions – https://youtu.be/MRgZKeYx1NY
- Binary Tree in SQL – https://youtu.be/oAD-YUafmB8
- Joins Advance Interview Questions – https://youtu.be/pf_RdiCBQw4
- Facebook SQL Interview Questions – https://youtu.be/LDYdcH82IO0
- Tricky SQL Interview Questions Part 2 – https://youtu.be/B8Zy9bcqai0
SQL Interview Questions Master E-book
Crack the SQL Interview with 550 Interview Questions
-SQL Most Asked Interview Questions – 250 Questions
– SQL Solved Questions from Leetcode, GFG, Hackerrank, and other websites – 100 Questions
– SQLZoo complete solution – 100 Questions
– ETL and Data Warehouse Questions – 100 questions
– JSON Tutorial in SQL
Additionally, get 800 SQL Questions and SQL cheat sheets that are created by some of the most renowned SQL teachers for free. This is not a proprietor of The Data Monk and we are making this available for your benefit
Link to the SQL e-book
How to buy the e-book?
Read the post here
SQL Complete Road Map
Day 1: SQL Basics
- Topics to Learn:
- What is SQL?
- SQL commands (DDL, DML, DCL, TCL).
- Basic syntax:
SELECT
,INSERT
,UPDATE
,DELETE
.
- Practice:
- Create a table using
CREATE TABLE
. - Insert sample data into the table.
- Query the data using
SELECT
.
- Create a table using
- Resources:
- Watch beginner SQL tutorials.
- Practice on platforms like SQLZoo or LeetCode SQL.
Day 2: Data Retrieval and Filtering
- Topics to Learn:
- Filtering data with
WHERE
,BETWEEN
,IN
,LIKE
. - Sorting data with
ORDER BY
. - Removing duplicates using
DISTINCT
.
- Filtering data with
- Practice:
- Write queries to filter data based on conditions.
- Sort and retrieve unique data.
- Tip: Experiment with filtering using numeric, text, and date columns.
Day 3: Joins and Relationships
- Topics to Learn:
- Types of joins:
INNER JOIN
,LEFT JOIN
,RIGHT JOIN
,FULL OUTER JOIN
. - Database relationships: Primary and Foreign keys.
- Types of joins:
- Practice:
- Set up two related tables.
- Write queries using all join types.
- Explore the difference between matched and unmatched results.
- Tip: Use visualization tools like dbdiagram.io to understand relationships.
Day 4: Aggregation and Grouping
- Topics to Learn:
- Aggregate functions:
SUM
,AVG
,COUNT
,MIN
,MAX
. - Grouping data with
GROUP BY
and filtering groups usingHAVING
.
- Aggregate functions:
- Practice:
- Calculate metrics like average salary by department.
- Identify groups with specific conditions (e.g., departments with more than 5 employees).
- Tip: Combine aggregate functions with filters to see how results differ.
Day 5: Subqueries and CTEs
- Topics to Learn:
- Simple and correlated subqueries.
- Common Table Expressions (CTEs).
- Recursive queries.
- Practice:
- Write a query to find the second-highest value.
- Use a CTE to simplify complex queries.
- Tip: Start with simple subqueries before moving to correlated ones.
Day 6: Advanced SQL and Optimization
- Topics to Learn:
- Window functions (
ROW_NUMBER
,RANK
,DENSE_RANK
). - Indexes and their impact on performance.
- Query optimization tips.
- Window functions (
- Practice:
- Write queries using window functions to rank data.
- Analyze the execution plan for a query.
- Tip: Use sample datasets from platforms like Kaggle to practice with larger data.
Day 7: Real-World Scenarios and Wrap-Up
- Topics to Learn:
- Writing queries for practical scenarios:
- Finding duplicates.
- Joining multiple tables.
- Updating data based on conditions.
- SQL best practices.
- Writing queries for practical scenarios:
- Practice:
- Solve SQL challenges on platforms like HackerRank.
- Attempt real-world problems using datasets.
- Tip: Test your skills with interview-style SQL questions.
Final Recommendations
- Tools to Use:
- Install MySQL, PostgreSQL, or use online SQL editors like Mode.
- Explore free databases like
sakila
for practice.
- Daily Commitment:
- Spend 2–3 hours daily: 1 hour on learning, 2 hours on practicing.
- Stay Consistent:
- Focus on understanding concepts before diving into advanced topics.
By the end of 7 days, you’ll have a solid grasp of SQL fundamentals, hands-on experience with practical queries, and the confidence to tackle interview questions or real-world scenarios.
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