๐๐ข๐๐ซ๐จ๐ฌ๐จ๐๐ญ ๐
๐๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ!๐๐ป
Supercharge your career with 5 FREE Microsoft certification courses designed to boost your data analytics skills!
๐๐ง๐ซ๐จ๐ฅ๐ฅ ๐ ๐จ๐ซ ๐ ๐๐๐๐ :-
https://tinyurl.com/2r7bcaz6
- Earn certifications to showcase your skills
Donโt waitโstart your journey to success today! โจ
Supercharge your career with 5 FREE Microsoft certification courses designed to boost your data analytics skills!
๐๐ง๐ซ๐จ๐ฅ๐ฅ ๐ ๐จ๐ซ ๐ ๐๐๐๐ :-
https://tinyurl.com/2r7bcaz6
- Earn certifications to showcase your skills
Donโt waitโstart your journey to success today! โจ
Real ExperienceThe Hidden Job Market Where Juniors Actually Get Hired
Hey there,
Let me tell you one real story about Timothy's unorthodox job search strategy.
After months of failed applications on LinkedIn, he tried something different:
He opened Google Maps.
Searched "digital agencies near me."
Found 30 companies within driving distance.
Most people would've hit "Quick Apply" on LinkedIn and called it a day.
But Timothy discovered something interesting:
Only 20% of tech jobs are ever posted online.
The other 80%?
They exist in what I call the "shadow market."
See, in every city, there are dozens of digital agencies and small software companies.
They're constantly growing, constantly building, constantly hiring.
But they NEVER post on job boards.
Why? Because these companies operate differently.
They run on tight margins. They need talented juniors. They can't compete with Google's salaries.
So they hire differently.
Timothy walked into these companies with his resume
Had real conversations with real people.
Showed genuine interest in their work.
The response shocked him:
They were excited to meet a developer who took initiative.
They appreciated the personal approach.
They were actively looking for juniors.
One week later?
Job offer.
While everyone else was fighting over the same LinkedIn positions (you know, the ones with 500+ applicants)...
Timothy found a hidden opportunity. Got real experience. Started his tech career.
Sometimes the best opportunities aren't on job boards. Sometimes you have to look where others aren't looking.
๐ t.me/techpsyche
5 Free MIT Online Courses to Boost Your Skills in 2025 ๐
MIT is known for world-class educationโbut you donโt need to walk its halls to access its knowledge๐จโ๐ป๐
Thanks to edX, anyone can enroll in these free MIT-certified courses from anywhere in the world๐ป๐
- Python
- Machine Learning
- Finance
- Biology
๐๐ข๐ง๐ค๐:-
https://techurl.in/hIuqP
Letโs explore 5 of the best free courses MIT has to offerโ
MIT is known for world-class educationโbut you donโt need to walk its halls to access its knowledge๐จโ๐ป๐
Thanks to edX, anyone can enroll in these free MIT-certified courses from anywhere in the world๐ป๐
- Python
- Machine Learning
- Finance
- Biology
๐๐ข๐ง๐ค๐:-
https://techurl.in/hIuqP
Letโs explore 5 of the best free courses MIT has to offerโ
Remote Senior Backend (Java & PHP) Engineer Job at Chess. com
Chess. com is hiring a remote Senior Backend (Java & PHP) Engineer. This is a full-time position that is 100% remote with no geographical restrictions. Work remotely from anywhere.
Chess. com - The world's largest chess community.
Apply Here:
https://kenyatrends.co.ke/gli4
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Chess. com is hiring a remote Senior Backend (Java & PHP) Engineer. This is a full-time position that is 100% remote with no geographical restrictions. Work remotely from anywhere.
Chess. com - The world's largest chess community.
Apply Here:
https://kenyatrends.co.ke/gli4
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Here are SQL interview questions:
Basic SQL Questions
1.โ โ What is SQL, and what is its purpose?
2.โ โ Write a SQL query to retrieve all records from a table.
3.โ โ How do you select specific columns from a table?
4.โ โ What is the difference between WHERE and HAVING clauses?
5.โ โ How do you sort data in ascending/descending order?
SQL Query Questions
1.โ โ Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2.โ โ How do you join two tables based on a common column?
3.โ โ Write a SQL query to retrieve data from multiple tables using subqueries.
4.โ โ How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5.โ โ Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1.โ โ How do you optimize SQL query performance?
2.โ โ What is indexing, and how does it improve query performance?
3.โ โ How do you avoid full table scans?
4.โ โ What is query caching, and how does it work?
5.โ โ How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1.โ โ Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2.โ โ Write a SQL query to retrieve data from two tables using a subquery.
3.โ โ How do you use EXISTS and IN operators in SQL?
4.โ โ Write a SQL query to retrieve data from multiple tables using a self-join.
5.โ โ Explain the concept of correlated subqueries.
SQL Data Modeling
1.โ โ Explain the concept of normalization and denormalization.
2.โ โ How do you design a database schema for a given application?
3.โ โ What is data redundancy, and how do you avoid it?
4.โ โ Explain the concept of primary and foreign keys.
5.โ โ How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1.โ โ Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2.โ โ Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3.โ โ How do you use dynamic SQL?
4.โ โ Explain the concept of stored procedures and functions.
5.โ โ Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1.โ โ You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2.โ โ You have a table with duplicate records. Write a SQL query to remove duplicates.
3.โ โ You have a table with missing values. Write a SQL query to replace missing values with a default value.
4.โ โ You have a table with data in an incorrect format. Write a SQL query to correct the format.
5.โ โ You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1.โ โ Can you explain a time when you optimized a slow-running SQL query?
2.โ โ How do you handle database errors and exceptions?
3.โ โ Can you describe a complex SQL query you wrote and why?
4.โ โ How do you stay up-to-date with new SQL features and best practices?
5.โ โ Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL ๐
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING ๐๐
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more ๐โค๏ธ
Hope it helps :)
Basic SQL Questions
1.โ โ What is SQL, and what is its purpose?
2.โ โ Write a SQL query to retrieve all records from a table.
3.โ โ How do you select specific columns from a table?
4.โ โ What is the difference between WHERE and HAVING clauses?
5.โ โ How do you sort data in ascending/descending order?
SQL Query Questions
1.โ โ Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2.โ โ How do you join two tables based on a common column?
3.โ โ Write a SQL query to retrieve data from multiple tables using subqueries.
4.โ โ How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5.โ โ Write a SQL query to retrieve data from a table for a specific date range.
SQL Optimization Questions
1.โ โ How do you optimize SQL query performance?
2.โ โ What is indexing, and how does it improve query performance?
3.โ โ How do you avoid full table scans?
4.โ โ What is query caching, and how does it work?
5.โ โ How do you optimize SQL queries for large datasets?
SQL Joins and Subqueries
1.โ โ Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2.โ โ Write a SQL query to retrieve data from two tables using a subquery.
3.โ โ How do you use EXISTS and IN operators in SQL?
4.โ โ Write a SQL query to retrieve data from multiple tables using a self-join.
5.โ โ Explain the concept of correlated subqueries.
SQL Data Modeling
1.โ โ Explain the concept of normalization and denormalization.
2.โ โ How do you design a database schema for a given application?
3.โ โ What is data redundancy, and how do you avoid it?
4.โ โ Explain the concept of primary and foreign keys.
5.โ โ How do you handle data inconsistencies and anomalies?
SQL Advanced Questions
1.โ โ Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2.โ โ Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3.โ โ How do you use dynamic SQL?
4.โ โ Explain the concept of stored procedures and functions.
5.โ โ Write a SQL query to retrieve data using pivot tables.
SQL Scenario-Based Questions
1.โ โ You have two tables, Orders and Customers. Write a SQL query to retrieve all orders for customers from a specific region.
2.โ โ You have a table with duplicate records. Write a SQL query to remove duplicates.
3.โ โ You have a table with missing values. Write a SQL query to replace missing values with a default value.
4.โ โ You have a table with data in an incorrect format. Write a SQL query to correct the format.
5.โ โ You have two tables with different data types for a common column. Write a SQL query to join the tables.
SQL Behavioral Questions
1.โ โ Can you explain a time when you optimized a slow-running SQL query?
2.โ โ How do you handle database errors and exceptions?
3.โ โ Can you describe a complex SQL query you wrote and why?
4.โ โ How do you stay up-to-date with new SQL features and best practices?
5.โ โ Can you walk me through your process for troubleshooting SQL issues?
Best Resources to learn SQL ๐
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING ๐๐
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more ๐โค๏ธ
Hope it helps :)
Remote Software Engineer Job at Zencore (Short Term Contract)
Apply Here:
https://kenyatrends.co.ke/iisk
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Apply Here:
https://kenyatrends.co.ke/iisk
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Learn SQL from basic to advanced level in 30 days
Week 1: SQL Basics
Day 1: Introduction to SQL and Relational Databases
Overview of SQL Syntax
Setting up a Database (MySQL, PostgreSQL, or SQL Server)
Day 2: Data Types (Numeric, String, Date, etc.)
Writing Basic SQL Queries:
SELECT, FROM
Day 3: WHERE Clause for Filtering Data
Using Logical Operators:
AND, OR, NOT
Day 4: Sorting Data: ORDER BY
Limiting Results: LIMIT and OFFSET
Understanding DISTINCT
Day 5: Aggregate Functions:
COUNT, SUM, AVG, MIN, MAX
Day 6: Grouping Data: GROUP BY and HAVING
Combining Filters with Aggregations
Day 7: Review Week 1 Topics with Hands-On Practice
Solve SQL Exercises on platforms like HackerRank, LeetCode, or W3Schools
Week 2: Intermediate SQL
Day 8: SQL JOINS:
INNER JOIN, LEFT JOIN
Day 9: SQL JOINS Continued: RIGHT JOIN, FULL OUTER JOIN, SELF JOIN
Day 10: Working with NULL Values
Using Conditional Logic with CASE Statements
Day 11: Subqueries: Simple Subqueries (Single-row and Multi-row)
Correlated Subqueries
Day 12: String Functions:
CONCAT, SUBSTRING, LENGTH, REPLACE
Day 13: Date and Time Functions: NOW, CURDATE, DATEDIFF, DATEADD
Day 14: Combining Results: UNION, UNION ALL, INTERSECT, EXCEPT
Review Week 2 Topics and Practice
Week 3: Advanced SQL
Day 15: Common Table Expressions (CTEs)
WITH Clauses and Recursive Queries
Day 16: Window Functions:
ROW_NUMBER, RANK, DENSE_RANK, NTILE
Day 17: More Window Functions:
LEAD, LAG, FIRST_VALUE, LAST_VALUE
Day 18: Creating and Managing Views
Temporary Tables and Table Variables
Day 19: Transactions and ACID Properties
Working with Indexes for Query Optimization
Day 20: Error Handling in SQL
Writing Dynamic SQL Queries
Day 21: Review Week 3 Topics with Complex Query Practice
Solve Intermediate to Advanced SQL Challenges
Week 4: Database Management and Advanced Applications
Day 22: Database Design and Normalization:
1NF, 2NF, 3NF
Day 23: Constraints in SQL:
PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT
Day 24: Creating and Managing Indexes
Understanding Query Execution Plans
Day 25: Backup and Restore Strategies in SQL
Role-Based Permissions
Day 26: Pivoting and Unpivoting Data
Working with JSON and XML in SQL
Day 27: Writing Stored Procedures and Functions
Automating Processes with Triggers
Day 28: Integrating SQL with Other Tools (e.g., Python, Power BI, Tableau)
SQL in Big Data: Introduction to NoSQL
Day 29: Query Performance Tuning:
Tips and Tricks to Optimize SQL Queries
Day 30: Final Review of All Topics
Attempt SQL Projects or Case Studies (e.g., analyzing sales data, building a reporting dashboard)
Since SQL is one of the most essential skill for data analysts, I have decided to teach each topic daily in this channel for free. Like this post if you want me to continue this SQL series ๐โฅ๏ธ
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL interview questions: https://t.me/sqlresourcestp/94
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING ๐๐
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Hope it helps :)
Week 1: SQL Basics
Day 1: Introduction to SQL and Relational Databases
Overview of SQL Syntax
Setting up a Database (MySQL, PostgreSQL, or SQL Server)
Day 2: Data Types (Numeric, String, Date, etc.)
Writing Basic SQL Queries:
SELECT, FROM
Day 3: WHERE Clause for Filtering Data
Using Logical Operators:
AND, OR, NOT
Day 4: Sorting Data: ORDER BY
Limiting Results: LIMIT and OFFSET
Understanding DISTINCT
Day 5: Aggregate Functions:
COUNT, SUM, AVG, MIN, MAX
Day 6: Grouping Data: GROUP BY and HAVING
Combining Filters with Aggregations
Day 7: Review Week 1 Topics with Hands-On Practice
Solve SQL Exercises on platforms like HackerRank, LeetCode, or W3Schools
Week 2: Intermediate SQL
Day 8: SQL JOINS:
INNER JOIN, LEFT JOIN
Day 9: SQL JOINS Continued: RIGHT JOIN, FULL OUTER JOIN, SELF JOIN
Day 10: Working with NULL Values
Using Conditional Logic with CASE Statements
Day 11: Subqueries: Simple Subqueries (Single-row and Multi-row)
Correlated Subqueries
Day 12: String Functions:
CONCAT, SUBSTRING, LENGTH, REPLACE
Day 13: Date and Time Functions: NOW, CURDATE, DATEDIFF, DATEADD
Day 14: Combining Results: UNION, UNION ALL, INTERSECT, EXCEPT
Review Week 2 Topics and Practice
Week 3: Advanced SQL
Day 15: Common Table Expressions (CTEs)
WITH Clauses and Recursive Queries
Day 16: Window Functions:
ROW_NUMBER, RANK, DENSE_RANK, NTILE
Day 17: More Window Functions:
LEAD, LAG, FIRST_VALUE, LAST_VALUE
Day 18: Creating and Managing Views
Temporary Tables and Table Variables
Day 19: Transactions and ACID Properties
Working with Indexes for Query Optimization
Day 20: Error Handling in SQL
Writing Dynamic SQL Queries
Day 21: Review Week 3 Topics with Complex Query Practice
Solve Intermediate to Advanced SQL Challenges
Week 4: Database Management and Advanced Applications
Day 22: Database Design and Normalization:
1NF, 2NF, 3NF
Day 23: Constraints in SQL:
PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT
Day 24: Creating and Managing Indexes
Understanding Query Execution Plans
Day 25: Backup and Restore Strategies in SQL
Role-Based Permissions
Day 26: Pivoting and Unpivoting Data
Working with JSON and XML in SQL
Day 27: Writing Stored Procedures and Functions
Automating Processes with Triggers
Day 28: Integrating SQL with Other Tools (e.g., Python, Power BI, Tableau)
SQL in Big Data: Introduction to NoSQL
Day 29: Query Performance Tuning:
Tips and Tricks to Optimize SQL Queries
Day 30: Final Review of All Topics
Attempt SQL Projects or Case Studies (e.g., analyzing sales data, building a reporting dashboard)
Since SQL is one of the most essential skill for data analysts, I have decided to teach each topic daily in this channel for free. Like this post if you want me to continue this SQL series ๐โฅ๏ธ
SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)
Learn & Practice SQL (https://bit.ly/4kNb15x)
SQL interview questions: https://t.me/sqlresourcestp/94
SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)
Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)
Also try to apply what you learn through hands-on projects or challenges.
ENJOY LEARNING ๐๐
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Hope it helps :)
โค1
๐ฐComplete SQL Mastery by Mosh Hamedani๐ฐ
๐Size: 13.97 GB
Language: English
๐ฅ Download Link
๐ Or Buy Here
๐ขNo Copyright Infringement Intended, All The Credits & Rights Reserved to the Respected Actual Owner. We don't own this content.
โค๏ธโ๐ฅ๐ฒ
Telegram Channel:
https://t.me/zerotrusthackers
โค๏ธโ๐ฅ๐ฒ
WhatsApp Channel:
https://whatsapp.com/channel/0029VaxVv551iUxRku094918
๐Size: 13.97 GB
Language: English
๐ฅ Download Link
๐ Or Buy Here
๐ขNo Copyright Infringement Intended, All The Credits & Rights Reserved to the Respected Actual Owner. We don't own this content.
โค๏ธโ๐ฅ๐ฒ
Telegram Channel:
https://t.me/zerotrusthackers
โค๏ธโ๐ฅ๐ฒ
WhatsApp Channel:
https://whatsapp.com/channel/0029VaxVv551iUxRku094918
๐ฒ ๐๐๐ ๐๐ฅ๐๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ป
- AI Prompt Engineering
- Python for Data Science
- SQL Relational Database
- Data Science Fundamentals
- Introduction to Cloud
- Machine Learning with Python
๐๐ข๐ง๐ค ๐:-
https://tinyurl.com/42nau8jx
Enroll For FREE & Get Certified๐
- AI Prompt Engineering
- Python for Data Science
- SQL Relational Database
- Data Science Fundamentals
- Introduction to Cloud
- Machine Learning with Python
๐๐ข๐ง๐ค ๐:-
https://tinyurl.com/42nau8jx
Enroll For FREE & Get Certified๐
๐ช๐๐๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐
๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐๐ ๐๐ ๐บ๐ธ๐ณ:
1. ๐ผ๐๐ ๐๐๐๐๐๐๐ ๐๐๐ ๐ฉ๐๐๐๐๐ ๐๐ ๐บ๐ธ๐ณ
๐. ๐๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐๐ญ๐๐๐๐ฌ๐๐ฌ
๐๐ก๐๐ญ ๐ข๐ฌ ๐ ๐๐๐ญ๐๐๐๐ฌ๐?: Understanding the concept of databases and relational databases.
๐๐๐ญ๐๐๐๐ฌ๐ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ (๐๐๐๐): Learn about different DBMS like MySQL, PostgreSQL, SQL Server, Oracle.
๐. ๐๐๐ฌ๐ข๐ ๐๐๐ ๐๐จ๐ฆ๐ฆ๐๐ง๐๐ฌ
๐๐๐ญ๐ ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ:
๐๐๐๐๐๐: Basic retrieval of data.
๐๐๐๐๐: Filtering data based on conditions.
๐๐๐๐๐ ๐๐: Sorting results.
๐๐๐๐๐: Limiting the number of rows returned.
๐๐๐ญ๐ ๐๐๐ง๐ข๐ฉ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง:
๐๐๐๐๐๐: Adding new data.
๐๐๐๐๐๐: Modifying existing data.
๐๐๐๐๐๐: Removing data.
2. ๐๐ง๐ญ๐๐ซ๐ฆ๐๐๐ข๐๐ญ๐ ๐๐๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ
๐. ๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐ญ๐ ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ
๐๐๐๐๐ฌ: Understanding different types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN).
๐๐ ๐ ๐ซ๐๐ ๐๐ญ๐ ๐ ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง๐ฌ: Using functions like COUNT, SUM, AVG, MIN, MAX.
๐๐๐๐๐ ๐๐: Grouping data to perform aggregate calculations.
๐๐๐๐๐๐: Filtering groups based on aggregate values.
๐. ๐๐ฎ๐๐ช๐ฎ๐๐ซ๐ข๐๐ฌ ๐๐ง๐ ๐๐๐ฌ๐ญ๐๐ ๐๐ฎ๐๐ซ๐ข๐๐ฌ
๐๐ฎ๐๐ช๐ฎ๐๐ซ๐ข๐๐ฌ: Using queries within queries.
๐๐จ๐ซ๐ซ๐๐ฅ๐๐ญ๐๐ ๐๐ฎ๐๐ช๐ฎ๐๐ซ๐ข๐๐ฌ: Subqueries that reference columns from the outer query.
๐ช. ๐ซ๐๐๐ ๐ซ๐๐๐๐๐๐๐๐๐ ๐ณ๐๐๐๐๐๐๐ (๐ซ๐ซ๐ณ)
๐๐ซ๐๐๐ญ๐ข๐ง๐ ๐๐๐๐ฅ๐๐ฌ: CREATE TABLE.
๐๐จ๐๐ข๐๐ฒ๐ข๐ง๐ ๐๐๐๐ฅ๐๐ฌ: ALTER TABLE.
๐น๐๐๐๐๐๐๐ ๐ป๐๐๐๐๐: DROP TABLE.
3. ๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐ ๐๐๐๐ก๐ง๐ข๐ช๐ฎ๐๐ฌ
๐. ๐๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง
๐๐ง๐๐๐ฑ๐๐ฌ: Understanding and creating indexes to speed up queries.
๐๐ฎ๐๐ซ๐ฒ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Techniques to write efficient SQL queries.
๐. ๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐ ๐ ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง๐ฌ
๐๐ข๐ง๐๐จ๐ฐ ๐ ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง๐ฌ: Using functions like ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG.
๐๐๐ (๐๐จ๐ฆ๐ฆ๐จ๐ง ๐๐๐๐ฅ๐ ๐๐ฑ๐ฉ๐ซ๐๐ฌ๐ฌ๐ข๐จ๐ง๐ฌ): Using WITH to create temporary result sets.
๐. ๐๐ซ๐๐ง๐ฌ๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐ง๐ ๐๐จ๐ง๐๐ฎ๐ซ๐ซ๐๐ง๐๐ฒ
๐๐ซ๐๐ง๐ฌ๐๐๐ญ๐ข๐จ๐ง๐ฌ: Using BEGIN, COMMIT, ROLLBACK.
๐๐จ๐ง๐๐ฎ๐ซ๐ซ๐๐ง๐๐ฒ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ: Understanding isolation levels and locking mechanisms.
4. ๐๐ซ๐๐๐ญ๐ข๐๐๐ฅ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐ง๐ ๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐๐๐ง๐๐ซ๐ข๐จ๐ฌ
๐. ๐๐๐ญ๐๐๐๐ฌ๐ ๐๐๐ฌ๐ข๐ ๐ง
๐๐จ๐ซ๐ฆ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Understanding normal forms and how to normalize databases.
๐๐ ๐๐ข๐๐ ๐ซ๐๐ฆ๐ฌ: Creating Entity-Relationship diagrams to model databases.
๐. ๐๐๐ญ๐ ๐๐ง๐ญ๐๐ ๐ซ๐๐ญ๐ข๐จ๐ง
๐๐๐ ๐๐ซ๐จ๐๐๐ฌ๐ฌ๐๐ฌ: Extract, Transform, Load processes for data integration.
๐๐ญ๐จ๐ซ๐๐ ๐๐ซ๐จ๐๐๐๐ฎ๐ซ๐๐ฌ ๐๐ง๐ ๐๐ซ๐ข๐ ๐ ๐๐ซ๐ฌ: Writing and using stored procedures and triggers for complex logic and automation.
๐. ๐๐๐ฌ๐ ๐๐ญ๐ฎ๐๐ข๐๐ฌ ๐๐ง๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ
๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐๐๐ง๐๐ซ๐ข๐จ๐ฌ: Work on case studies involving complex database operations.
๐๐๐ฉ๐ฌ๐ญ๐จ๐ง๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ: Develop comprehensive projects that showcase your SQL expertise.
๐๐๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐ง๐ ๐๐จ๐จ๐ฅ๐ฌ
๐๐จ๐จ๐ค๐ฌ: "SQL in 10 Minutes, Sams Teach Yourself" by Ben Forta, "SQL for Data Scientists" by Renee M. P. Teate.
๐๐ง๐ฅ๐ข๐ง๐ ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ๐ฌ: Coursera, Udacity, edX, Khan Academy.
๐๐ซ๐๐๐ญ๐ข๐๐ ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ๐ฌ: LeetCode, HackerRank, Mode Analytics, SQLZoo.
1. ๐ผ๐๐ ๐๐๐๐๐๐๐ ๐๐๐ ๐ฉ๐๐๐๐๐ ๐๐ ๐บ๐ธ๐ณ
๐. ๐๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐๐ญ๐๐๐๐ฌ๐๐ฌ
๐๐ก๐๐ญ ๐ข๐ฌ ๐ ๐๐๐ญ๐๐๐๐ฌ๐?: Understanding the concept of databases and relational databases.
๐๐๐ญ๐๐๐๐ฌ๐ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ (๐๐๐๐): Learn about different DBMS like MySQL, PostgreSQL, SQL Server, Oracle.
๐. ๐๐๐ฌ๐ข๐ ๐๐๐ ๐๐จ๐ฆ๐ฆ๐๐ง๐๐ฌ
๐๐๐ญ๐ ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ:
๐๐๐๐๐๐: Basic retrieval of data.
๐๐๐๐๐: Filtering data based on conditions.
๐๐๐๐๐ ๐๐: Sorting results.
๐๐๐๐๐: Limiting the number of rows returned.
๐๐๐ญ๐ ๐๐๐ง๐ข๐ฉ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง:
๐๐๐๐๐๐: Adding new data.
๐๐๐๐๐๐: Modifying existing data.
๐๐๐๐๐๐: Removing data.
2. ๐๐ง๐ญ๐๐ซ๐ฆ๐๐๐ข๐๐ญ๐ ๐๐๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ
๐. ๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐ญ๐ ๐๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ
๐๐๐๐๐ฌ: Understanding different types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN).
๐๐ ๐ ๐ซ๐๐ ๐๐ญ๐ ๐ ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง๐ฌ: Using functions like COUNT, SUM, AVG, MIN, MAX.
๐๐๐๐๐ ๐๐: Grouping data to perform aggregate calculations.
๐๐๐๐๐๐: Filtering groups based on aggregate values.
๐. ๐๐ฎ๐๐ช๐ฎ๐๐ซ๐ข๐๐ฌ ๐๐ง๐ ๐๐๐ฌ๐ญ๐๐ ๐๐ฎ๐๐ซ๐ข๐๐ฌ
๐๐ฎ๐๐ช๐ฎ๐๐ซ๐ข๐๐ฌ: Using queries within queries.
๐๐จ๐ซ๐ซ๐๐ฅ๐๐ญ๐๐ ๐๐ฎ๐๐ช๐ฎ๐๐ซ๐ข๐๐ฌ: Subqueries that reference columns from the outer query.
๐ช. ๐ซ๐๐๐ ๐ซ๐๐๐๐๐๐๐๐๐ ๐ณ๐๐๐๐๐๐๐ (๐ซ๐ซ๐ณ)
๐๐ซ๐๐๐ญ๐ข๐ง๐ ๐๐๐๐ฅ๐๐ฌ: CREATE TABLE.
๐๐จ๐๐ข๐๐ฒ๐ข๐ง๐ ๐๐๐๐ฅ๐๐ฌ: ALTER TABLE.
๐น๐๐๐๐๐๐๐ ๐ป๐๐๐๐๐: DROP TABLE.
3. ๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐ ๐๐๐๐ก๐ง๐ข๐ช๐ฎ๐๐ฌ
๐. ๐๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง
๐๐ง๐๐๐ฑ๐๐ฌ: Understanding and creating indexes to speed up queries.
๐๐ฎ๐๐ซ๐ฒ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Techniques to write efficient SQL queries.
๐. ๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐ ๐ ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง๐ฌ
๐๐ข๐ง๐๐จ๐ฐ ๐ ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง๐ฌ: Using functions like ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG.
๐๐๐ (๐๐จ๐ฆ๐ฆ๐จ๐ง ๐๐๐๐ฅ๐ ๐๐ฑ๐ฉ๐ซ๐๐ฌ๐ฌ๐ข๐จ๐ง๐ฌ): Using WITH to create temporary result sets.
๐. ๐๐ซ๐๐ง๐ฌ๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐ง๐ ๐๐จ๐ง๐๐ฎ๐ซ๐ซ๐๐ง๐๐ฒ
๐๐ซ๐๐ง๐ฌ๐๐๐ญ๐ข๐จ๐ง๐ฌ: Using BEGIN, COMMIT, ROLLBACK.
๐๐จ๐ง๐๐ฎ๐ซ๐ซ๐๐ง๐๐ฒ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ: Understanding isolation levels and locking mechanisms.
4. ๐๐ซ๐๐๐ญ๐ข๐๐๐ฅ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐ง๐ ๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐๐๐ง๐๐ซ๐ข๐จ๐ฌ
๐. ๐๐๐ญ๐๐๐๐ฌ๐ ๐๐๐ฌ๐ข๐ ๐ง
๐๐จ๐ซ๐ฆ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Understanding normal forms and how to normalize databases.
๐๐ ๐๐ข๐๐ ๐ซ๐๐ฆ๐ฌ: Creating Entity-Relationship diagrams to model databases.
๐. ๐๐๐ญ๐ ๐๐ง๐ญ๐๐ ๐ซ๐๐ญ๐ข๐จ๐ง
๐๐๐ ๐๐ซ๐จ๐๐๐ฌ๐ฌ๐๐ฌ: Extract, Transform, Load processes for data integration.
๐๐ญ๐จ๐ซ๐๐ ๐๐ซ๐จ๐๐๐๐ฎ๐ซ๐๐ฌ ๐๐ง๐ ๐๐ซ๐ข๐ ๐ ๐๐ซ๐ฌ: Writing and using stored procedures and triggers for complex logic and automation.
๐. ๐๐๐ฌ๐ ๐๐ญ๐ฎ๐๐ข๐๐ฌ ๐๐ง๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ
๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐๐๐ง๐๐ซ๐ข๐จ๐ฌ: Work on case studies involving complex database operations.
๐๐๐ฉ๐ฌ๐ญ๐จ๐ง๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ: Develop comprehensive projects that showcase your SQL expertise.
๐๐๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐ง๐ ๐๐จ๐จ๐ฅ๐ฌ
๐๐จ๐จ๐ค๐ฌ: "SQL in 10 Minutes, Sams Teach Yourself" by Ben Forta, "SQL for Data Scientists" by Renee M. P. Teate.
๐๐ง๐ฅ๐ข๐ง๐ ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ๐ฌ: Coursera, Udacity, edX, Khan Academy.
๐๐ซ๐๐๐ญ๐ข๐๐ ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ๐ฌ: LeetCode, HackerRank, Mode Analytics, SQLZoo.
๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐๐๐ป
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Learning and Practicing SQL: Resources and Platforms
1. https://sqlbolt.com/
2. https://sqlzoo.net/
4. https://learnsql.com/?ref=yjhhmmm
5. https://www.codecademy.com/learn/learn-sql
6. https://t.me/sqlresourcestp
7. https://www.w3schools.com/sql/
8. https://www.hackerrank.com/domains/sql
9. https://www.windowfunctions.com/
10. https://selectstarsql.com/
11. https://quip.com/2gwZArKuWk7W
12. https://leetcode.com/problemset/database/
13. http://thedatamonk.com/
1. https://sqlbolt.com/
2. https://sqlzoo.net/
4. https://learnsql.com/?ref=yjhhmmm
5. https://www.codecademy.com/learn/learn-sql
6. https://t.me/sqlresourcestp
7. https://www.w3schools.com/sql/
8. https://www.hackerrank.com/domains/sql
9. https://www.windowfunctions.com/
10. https://selectstarsql.com/
11. https://quip.com/2gwZArKuWk7W
12. https://leetcode.com/problemset/database/
13. http://thedatamonk.com/
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๐ฐ SQL Roadmap for Beginners 2025
โโโ ๐ Introduction to Databases & SQL
โโโ ๐ SQL vs NoSQL (Just Basics)
โโโ ๐งฑ Database Concepts (Tables, Rows, Columns, Keys)
โโโ ๐ Basic SQL Queries (SELECT, WHERE)
โโโ โ๏ธ Filtering & Sorting Data (ORDER BY, LIMIT)
โโโ ๐ข SQL Operators (IN, BETWEEN, LIKE, AND, OR)
โโโ ๐ Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
โโโ ๐ฅ GROUP BY & HAVING Clauses
โโโ ๐ SQL JOINS (INNER, LEFT, RIGHT, FULL, SELF)
โโโ ๐ฆ Subqueries & Nested Queries
โโโ ๐ท Aliases & Case Statements
โโโ ๐งพ Views & Indexes (Basics)
โโโ ๐ง Common Table Expressions (CTEs)
โโโ ๐ Window Functions (ROW_NUMBER, RANK, PARTITION BY)
โโโ โ๏ธ Data Manipulation (INSERT, UPDATE, DELETE)
โโโ ๐งฑ Data Definition (CREATE, ALTER, DROP)
โโโ ๐ Constraints & Relationships (PK, FK, UNIQUE, CHECK)
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โโโ ๐ SQL vs NoSQL (Just Basics)
โโโ ๐งฑ Database Concepts (Tables, Rows, Columns, Keys)
โโโ ๐ Basic SQL Queries (SELECT, WHERE)
โโโ โ๏ธ Filtering & Sorting Data (ORDER BY, LIMIT)
โโโ ๐ข SQL Operators (IN, BETWEEN, LIKE, AND, OR)
โโโ ๐ Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
โโโ ๐ฅ GROUP BY & HAVING Clauses
โโโ ๐ SQL JOINS (INNER, LEFT, RIGHT, FULL, SELF)
โโโ ๐ฆ Subqueries & Nested Queries
โโโ ๐ท Aliases & Case Statements
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SQL is one of the core languages used in data science, powering everything from quick data retrieval to complex deep dive analysis. Whether you're a seasoned data scientist or just starting out, mastering SQL can boost your ability to analyze data, create robust pipelines, and deliver actionable insights.
Letโs dive into a comprehensive guide on SQL for Data Science!
I have broken it down into three key sections to help you:
๐ญ. ๐ฆ๐ค๐ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐:
Get a handle on the essentials -> SELECT statements, filtering, aggregations, joins, window functions, and more.
๐ฎ. ๐ฆ๐ค๐ ๐ถ๐ป ๐๐ฎ๐-๐๐ผ-๐๐ฎ๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ:
See how SQL fits into the daily data science workflow. From quick data queries and deep-dive analysis to building pipelines and dashboards, SQL is really useful for data scientists, especially for product data scientists.
๐ฏ. ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ฆ๐ค๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐:
Learn what interviewers look for in terms of technical skills, design and engineering expertise, communication abilities, and the importance of speed and accuracy.
SQL Resources: https://t.me/sqlresourcestp
Letโs dive into a comprehensive guide on SQL for Data Science!
I have broken it down into three key sections to help you:
๐ญ. ๐ฆ๐ค๐ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐:
Get a handle on the essentials -> SELECT statements, filtering, aggregations, joins, window functions, and more.
๐ฎ. ๐ฆ๐ค๐ ๐ถ๐ป ๐๐ฎ๐-๐๐ผ-๐๐ฎ๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ:
See how SQL fits into the daily data science workflow. From quick data queries and deep-dive analysis to building pipelines and dashboards, SQL is really useful for data scientists, especially for product data scientists.
๐ฏ. ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ฆ๐ค๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐:
Learn what interviewers look for in terms of technical skills, design and engineering expertise, communication abilities, and the importance of speed and accuracy.
SQL Resources: https://t.me/sqlresourcestp
โค1