โ
Free Resources to Learn SQL in 2025 ๐ง ๐
1. YouTube Channels
โข freeCodeCamp โ Comprehensive SQL courses
โข Simplilearn โ SQL basics and advanced topics
โข CodeWithMosh โ SQL tutorial for beginners
โข Alex The Analyst โ Practical SQL for data analysis
2. Websites
โข W3Schools SQL Tutorial โ Easy-to-understand basics
โข SQLZoo โ Interactive SQL tutorials with exercises
โข GeeksforGeeks SQL โ Concepts, interview questions, and examples
โข LearnSQL โ Free courses and interactive editor
3. Practice Platforms
โข LeetCode (SQL section) โ Interview-style SQL problems
โข HackerRank (SQL section) โ Challenges and practice problems
โข StrataScratch โ Real-world SQL questions from companies
โข SQL Fiddle โ Online SQL sandbox for testing queries
4. Free Courses
โข Khan Academy: Intro to SQL โ Basic database concepts and SQL
โข Codecademy: Learn SQL (Basic) โ Interactive lessons
โข Great Learning: SQL for Beginners โ Free certification course
โข Udemy (search for free courses) โ Many introductory SQL courses often available for free
5. Books for Starters
โข โSQL in 10 Minutes, Sams Teach Yourselfโ โ Ben Forta
โข โSQL Practice Problems: 57 Problems to Test Your SQL Skillsโ โ Sylvia Moestl Wasserman
โข โLearning SQLโ โ Alan Beaulieu
6. Must-Know Concepts
โข SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY
โข JOINs (INNER, LEFT, RIGHT, FULL)
โข Subqueries, CTEs (Common Table Expressions)
โข Window Functions (RANK, ROW_NUMBER, LEAD, LAG)
โข Basic DDL (CREATE TABLE) and DML (INSERT, UPDATE, DELETE)
๐ก Practice consistently with real-world scenarios.
๐ฌ Tap โค๏ธ for more!
1. YouTube Channels
โข freeCodeCamp โ Comprehensive SQL courses
โข Simplilearn โ SQL basics and advanced topics
โข CodeWithMosh โ SQL tutorial for beginners
โข Alex The Analyst โ Practical SQL for data analysis
2. Websites
โข W3Schools SQL Tutorial โ Easy-to-understand basics
โข SQLZoo โ Interactive SQL tutorials with exercises
โข GeeksforGeeks SQL โ Concepts, interview questions, and examples
โข LearnSQL โ Free courses and interactive editor
3. Practice Platforms
โข LeetCode (SQL section) โ Interview-style SQL problems
โข HackerRank (SQL section) โ Challenges and practice problems
โข StrataScratch โ Real-world SQL questions from companies
โข SQL Fiddle โ Online SQL sandbox for testing queries
4. Free Courses
โข Khan Academy: Intro to SQL โ Basic database concepts and SQL
โข Codecademy: Learn SQL (Basic) โ Interactive lessons
โข Great Learning: SQL for Beginners โ Free certification course
โข Udemy (search for free courses) โ Many introductory SQL courses often available for free
5. Books for Starters
โข โSQL in 10 Minutes, Sams Teach Yourselfโ โ Ben Forta
โข โSQL Practice Problems: 57 Problems to Test Your SQL Skillsโ โ Sylvia Moestl Wasserman
โข โLearning SQLโ โ Alan Beaulieu
6. Must-Know Concepts
โข SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY
โข JOINs (INNER, LEFT, RIGHT, FULL)
โข Subqueries, CTEs (Common Table Expressions)
โข Window Functions (RANK, ROW_NUMBER, LEAD, LAG)
โข Basic DDL (CREATE TABLE) and DML (INSERT, UPDATE, DELETE)
๐ก Practice consistently with real-world scenarios.
๐ฌ Tap โค๏ธ for more!
โค2
๐ง๐ผ๐ฝ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐ข๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ฑ ๐๐ ๐๐๐ง'๐ & ๐๐๐ ๐
Placement Assistance With 5000+ companies.
Companies are actively hiring candidates with AI & ML skills.
โณ Deadline: 28th Feb 2026
๐๐ & ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ :- https://pdlink.in/4kucM7E
๐๐ & ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด :- https://pdlink.in/4rMivIA
๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ช๐ถ๐๐ต ๐๐ :- https://pdlink.in/4ay4wPG
๐๐๐๐ถ๐ป๐ฒ๐๐ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ช๐ถ๐๐ต ๐๐ :- https://pdlink.in/3ZtIZm9
๐ ๐ ๐ช๐ถ๐๐ต ๐ฃ๐๐๐ต๐ผ๐ป :- https://pdlink.in/3OD9jI1
โ Hurry Up...Limited seats only
Placement Assistance With 5000+ companies.
Companies are actively hiring candidates with AI & ML skills.
โณ Deadline: 28th Feb 2026
๐๐ & ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ :- https://pdlink.in/4kucM7E
๐๐ & ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด :- https://pdlink.in/4rMivIA
๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ช๐ถ๐๐ต ๐๐ :- https://pdlink.in/4ay4wPG
๐๐๐๐ถ๐ป๐ฒ๐๐ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ช๐ถ๐๐ต ๐๐ :- https://pdlink.in/3ZtIZm9
๐ ๐ ๐ช๐ถ๐๐ต ๐ฃ๐๐๐ต๐ผ๐ป :- https://pdlink.in/3OD9jI1
โ Hurry Up...Limited seats only
โค1
๐๐ & ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ ๐๐ ๐๐๐ง ๐ฅ๐ผ๐ผ๐ฟ๐ธ๐ฒ๐ฒ ๐
๐Learn from IIT faculty and industry experts
๐ฅ100% Online | 6 Months
๐Get Prestigious Certificate
๐ซCompanies are actively hiring candidates with Data Science & AI skills.
Deadline: 8th March 2026
๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐๐ผ๐ฟ ๐ฆ๐ฐ๐ต๐ผ๐น๐ฎ๐ฟ๐๐ต๐ถ๐ฝ ๐ง๐ฒ๐๐ ๐ :-
https://pdlink.in/4kucM7E
โ Limited seats only
๐Learn from IIT faculty and industry experts
๐ฅ100% Online | 6 Months
๐Get Prestigious Certificate
๐ซCompanies are actively hiring candidates with Data Science & AI skills.
Deadline: 8th March 2026
๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐๐ผ๐ฟ ๐ฆ๐ฐ๐ต๐ผ๐น๐ฎ๐ฟ๐๐ต๐ถ๐ฝ ๐ง๐ฒ๐๐ ๐ :-
https://pdlink.in/4kucM7E
โ Limited seats only
โค2
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.
Here you can find essential SQL Interview Resources๐
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
Like this post if you need more ๐โค๏ธ
Hope it helps :)
#sql
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.
Here you can find essential SQL Interview Resources๐
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
Like this post if you need more ๐โค๏ธ
Hope it helps :)
#sql
โค5
๐ฏ 2026 IT Certification Prep Kit โ Free!
๐ฅWhether you're preparing for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification โ SPOTO has got you covered!
โ Whatโs Inside:
ใปFree Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4cZ9PKA
ใปIT Certs E-book: https://bit.ly/4aQfbqc
ใปIT Exams Skill Test: https://bit.ly/4aQf3He
ใปFree AI material and support tools๏ผhttps://bit.ly/4ucJoHO
ใปFree Cloud Study Guide: https://bit.ly/3OExOVB
๐ Become Part of Our IT Learning Circle! resources and support:
https://chat.whatsapp.com/Cnc5M5353oSBo3savBl397
๐ฌ Want exam help? Chat with an admin now!
https://wa.link/0pjvhh
๐ฅWhether you're preparing for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification โ SPOTO has got you covered!
โ Whatโs Inside:
ใปFree Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4cZ9PKA
ใปIT Certs E-book: https://bit.ly/4aQfbqc
ใปIT Exams Skill Test: https://bit.ly/4aQf3He
ใปFree AI material and support tools๏ผhttps://bit.ly/4ucJoHO
ใปFree Cloud Study Guide: https://bit.ly/3OExOVB
๐ Become Part of Our IT Learning Circle! resources and support:
https://chat.whatsapp.com/Cnc5M5353oSBo3savBl397
๐ฌ Want exam help? Chat with an admin now!
https://wa.link/0pjvhh
โค1
๐๐๐ง ๐ฅ๐ผ๐ผ๐ฟ๐ธ๐ฒ๐ฒ ๐ข๐ณ๐ณ๐ฒ๐ฟ๐ถ๐ป๐ด ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ ๐ถ๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐๐ ๐๐ถ๐๐ต ๐๐ ๐ฎ๐ป๐ฑ ๐๐ฒ๐ป ๐๐ ๐
Placement Assistance With 5000+ companies.
๐ฅ Companies are actively hiring candidates with Data Analytics skills.
๐ Prestigious IIT certificate
๐ฅ Hands-on industry projects
๐ Career-ready skills for data & AI jobs
๐๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ฐ๐ :-
https://pdlink.in/4rwqIAm
Limited seats available. Apply now to secure your spot
Placement Assistance With 5000+ companies.
๐ฅ Companies are actively hiring candidates with Data Analytics skills.
๐ Prestigious IIT certificate
๐ฅ Hands-on industry projects
๐ Career-ready skills for data & AI jobs
๐๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ฐ๐ :-
https://pdlink.in/4rwqIAm
Limited seats available. Apply now to secure your spot
โ
Artificial Intelligence Free Courses ๐ค
โฏ Deep Learning
https://www.deeplearning.ai/programs/deep-learning-specialization
โฏ Python for AI
https://www.freecodecamp.org/learn/scientific-computing-with-python
https://whatsapp.com/channel/0029VbC0Xa411ulRe5pNJK3E
โฏ Data Science
https://www.edx.org/learn/data-science
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
โฏ AI For Everyone
https://www.deeplearning.ai/ai-for-everyone/
https://whatsapp.com/channel/0029VbBHlc7H5JLuv8L9d72T
https://ai.google/learn-ai-skills/
โฏ Neural Networks
https://www.kaggle.com/learn/intro-to-deep-learning
โฏ Practical Deep Learning
https://course.fast.ai/
โฏ Computer Vision
https://www.opencv.org/courses
โฏ MLOps
https://learn.microsoft.com/training/paths/mlops
๐ฌ Double Tap โค๏ธ for more!
โฏ Deep Learning
https://www.deeplearning.ai/programs/deep-learning-specialization
โฏ Python for AI
https://www.freecodecamp.org/learn/scientific-computing-with-python
https://whatsapp.com/channel/0029VbC0Xa411ulRe5pNJK3E
โฏ Data Science
https://www.edx.org/learn/data-science
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
โฏ AI For Everyone
https://www.deeplearning.ai/ai-for-everyone/
https://whatsapp.com/channel/0029VbBHlc7H5JLuv8L9d72T
https://ai.google/learn-ai-skills/
โฏ Neural Networks
https://www.kaggle.com/learn/intro-to-deep-learning
โฏ Practical Deep Learning
https://course.fast.ai/
โฏ Computer Vision
https://www.opencv.org/courses
โฏ MLOps
https://learn.microsoft.com/training/paths/mlops
๐ฌ Double Tap โค๏ธ for more!
โค2
โก๏ธ MIT has released a full course on Deep Learning - for free
MIT OpenCourseWare has published the course 6.7960 Deep Learning (Fall 2024) โ one of the most relevant and practical university courses on modern deep learning.
It includes full-fledged lectures at a top-university level, available for free.
What's in the course
- Fundamentals of deep learning and architectures
- Transformers and modern models
- Generative AI
- Self-supervised learning
- Scaling laws
- Diffusion and generative models
- RL and reinforcement learning
- Practical analyses of modern approaches
The lectures are led by MIT professors and researchers working with cutting-edge technologies.
Why it's valuable
This is not a basic course for beginners.
This is material at the level of:
- ML engineers
- researchers
- developers of AI systems
The course reflects the current state of the industry and explains how people who create modern models think.
It's perfect if you:
- already know Python and the basics of ML
- want to transition to Deep Learning
- work with LLMs / AI
- want a systematic understanding instead of individual tutorials
If you want FAANG / Research-level knowledge - learn from MIT.
https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video_galleries/lecture-videos/
MIT OpenCourseWare has published the course 6.7960 Deep Learning (Fall 2024) โ one of the most relevant and practical university courses on modern deep learning.
It includes full-fledged lectures at a top-university level, available for free.
What's in the course
- Fundamentals of deep learning and architectures
- Transformers and modern models
- Generative AI
- Self-supervised learning
- Scaling laws
- Diffusion and generative models
- RL and reinforcement learning
- Practical analyses of modern approaches
The lectures are led by MIT professors and researchers working with cutting-edge technologies.
Why it's valuable
This is not a basic course for beginners.
This is material at the level of:
- ML engineers
- researchers
- developers of AI systems
The course reflects the current state of the industry and explains how people who create modern models think.
It's perfect if you:
- already know Python and the basics of ML
- want to transition to Deep Learning
- work with LLMs / AI
- want a systematic understanding instead of individual tutorials
If you want FAANG / Research-level knowledge - learn from MIT.
https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video_galleries/lecture-videos/
โค4
AI Engineer Roadmap ๐ค
1. Python Foundations
โข Learn: Syntax, loops, data structures, OOP, Git
2. Maths Statistics for AI
โข Focus on: Linear algebra, probability, calculus, distributions
3. Machine Learning Algorithms
โข Topics: Regression, classification, clustering, SVMs, model evaluation
4. Deep Learning Foundations
โข Learn: Neural networks, CNNs, RNNs, regularization, optimizers
5. Natural Language Processing (NLP)
โข Key Areas: Tokenization, embeddings, attention, sequence models
6. Transformers LLM Architectures
โข Cover: Self-attention, encoder-decoder models, BERT, GPT, T5
7. Fine-Tuning Custom Model Training
โข Techniques for: GPT, BERT, custom LLMs
8. LangChain Framework
โข Build: LLM pipelines, tools, retrieval systems
9. LangGraph RAG Systems
โข Concepts: Graph-based reasoning, orchestration, retrieval workflows
10. MCP Agentic AI Systems
โข Create: Autonomous agents, multi-component systems, automation
Double Tap โค๏ธ For More
1. Python Foundations
โข Learn: Syntax, loops, data structures, OOP, Git
2. Maths Statistics for AI
โข Focus on: Linear algebra, probability, calculus, distributions
3. Machine Learning Algorithms
โข Topics: Regression, classification, clustering, SVMs, model evaluation
4. Deep Learning Foundations
โข Learn: Neural networks, CNNs, RNNs, regularization, optimizers
5. Natural Language Processing (NLP)
โข Key Areas: Tokenization, embeddings, attention, sequence models
6. Transformers LLM Architectures
โข Cover: Self-attention, encoder-decoder models, BERT, GPT, T5
7. Fine-Tuning Custom Model Training
โข Techniques for: GPT, BERT, custom LLMs
8. LangChain Framework
โข Build: LLM pipelines, tools, retrieval systems
9. LangGraph RAG Systems
โข Concepts: Graph-based reasoning, orchestration, retrieval workflows
10. MCP Agentic AI Systems
โข Create: Autonomous agents, multi-component systems, automation
Double Tap โค๏ธ For More
โค6
๐ข ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐น๐ฒ๐ฟ๐ โ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ช๐ถ๐๐ต ๐๐
Upgrade your career with AI-powered data analytics skills.
๐ Learn Data Analytics from Scratch
๐ค AI Tools & Automation
๐ Data Visualization & Insights
๐ Certification Program
๐ฅ Highly demanded skill in todayโs job market.
๐๐ฝ๐ฝ๐น๐ ๐ก๐ผ๐๐ :-
https://pdlink.in/4syEItX
๐ Perfect for Students ,Freshers & Working Professionals
Upgrade your career with AI-powered data analytics skills.
๐ Learn Data Analytics from Scratch
๐ค AI Tools & Automation
๐ Data Visualization & Insights
๐ Certification Program
๐ฅ Highly demanded skill in todayโs job market.
๐๐ฝ๐ฝ๐น๐ ๐ก๐ผ๐๐ :-
https://pdlink.in/4syEItX
๐ Perfect for Students ,Freshers & Working Professionals
โค1
30-day Roadmap plan for SQL covers beginner, intermediate, and advanced topics ๐
Week 1: Beginner Level
Day 1-3: Introduction and Setup
1. Day 1: Introduction to SQL, its importance, and various database systems.
2. Day 2: Installing a SQL database (e.g., MySQL, PostgreSQL).
3. Day 3: Setting up a sample database and practicing basic commands.
Day 4-7: Basic SQL Queries
4. Day 4: SELECT statement, retrieving data from a single table.
5. Day 5: WHERE clause and filtering data.
6. Day 6: Sorting data with ORDER BY.
7. Day 7: Aggregating data with GROUP BY and using aggregate functions (COUNT, SUM, AVG).
Week 2-3: Intermediate Level
Day 8-14: Working with Multiple Tables
8. Day 8: Introduction to JOIN operations.
9. Day 9: INNER JOIN and LEFT JOIN.
10. Day 10: RIGHT JOIN and FULL JOIN.
11. Day 11: Subqueries and correlated subqueries.
12. Day 12: Creating and modifying tables with CREATE, ALTER, and DROP.
13. Day 13: INSERT, UPDATE, and DELETE statements.
14. Day 14: Understanding indexes and optimizing queries.
Day 15-21: Data Manipulation
15. Day 15: CASE statements for conditional logic.
16. Day 16: Using UNION and UNION ALL.
17. Day 17: Data type conversions (CAST and CONVERT).
18. Day 18: Working with date and time functions.
19. Day 19: String manipulation functions.
20. Day 20: Error handling with TRY...CATCH.
21. Day 21: Practice complex queries and data manipulation tasks.
Week 4: Advanced Level
Day 22-28: Advanced Topics
22. Day 22: Working with Views.
23. Day 23: Stored Procedures and Functions.
24. Day 24: Triggers and transactions.
25. Day 25: Windows Function
Day 26-30: Real-World Projects
26. Day 26: SQL Project-1
27. Day 27: SQL Project-2
28. Day 28: SQL Project-3
29. Day 29: Practice questions set
30. Day 30: Final review and practice, explore advanced topics in depth, or work on a personal project.
Like for more โค๏ธ
Free Resources to learn SQL: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v/1394
Week 1: Beginner Level
Day 1-3: Introduction and Setup
1. Day 1: Introduction to SQL, its importance, and various database systems.
2. Day 2: Installing a SQL database (e.g., MySQL, PostgreSQL).
3. Day 3: Setting up a sample database and practicing basic commands.
Day 4-7: Basic SQL Queries
4. Day 4: SELECT statement, retrieving data from a single table.
5. Day 5: WHERE clause and filtering data.
6. Day 6: Sorting data with ORDER BY.
7. Day 7: Aggregating data with GROUP BY and using aggregate functions (COUNT, SUM, AVG).
Week 2-3: Intermediate Level
Day 8-14: Working with Multiple Tables
8. Day 8: Introduction to JOIN operations.
9. Day 9: INNER JOIN and LEFT JOIN.
10. Day 10: RIGHT JOIN and FULL JOIN.
11. Day 11: Subqueries and correlated subqueries.
12. Day 12: Creating and modifying tables with CREATE, ALTER, and DROP.
13. Day 13: INSERT, UPDATE, and DELETE statements.
14. Day 14: Understanding indexes and optimizing queries.
Day 15-21: Data Manipulation
15. Day 15: CASE statements for conditional logic.
16. Day 16: Using UNION and UNION ALL.
17. Day 17: Data type conversions (CAST and CONVERT).
18. Day 18: Working with date and time functions.
19. Day 19: String manipulation functions.
20. Day 20: Error handling with TRY...CATCH.
21. Day 21: Practice complex queries and data manipulation tasks.
Week 4: Advanced Level
Day 22-28: Advanced Topics
22. Day 22: Working with Views.
23. Day 23: Stored Procedures and Functions.
24. Day 24: Triggers and transactions.
25. Day 25: Windows Function
Day 26-30: Real-World Projects
26. Day 26: SQL Project-1
27. Day 27: SQL Project-2
28. Day 28: SQL Project-3
29. Day 29: Practice questions set
30. Day 30: Final review and practice, explore advanced topics in depth, or work on a personal project.
Like for more โค๏ธ
Free Resources to learn SQL: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v/1394
โค5