SQL For Everything

SQL in 30 Days
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: Security and user privileges.
26. Day 26: Performance tuning and query optimization.
27. Day 27: Introduction to NoSQL databases (optional).
28. Day 28: Working with NoSQL databases (optional).

Day 29-30: Real-World Applications
29. Day 29: Building a simple application that uses SQL.
30. Day 30: Final review and practice, explore advanced topics in depth, or work on a personal project.

Remember to practice regularly, work on small projects, and use online resources and SQL platforms for hands-on experience. Adjust the plan based on your progress and interests, and you'll be well on your way to becoming proficient in SQL!

SQL Resources: https://t.me/SQLResourcesTP

Bookmark this Post for Later Use: https://tinyurl.com/SQLin30Days

Follow this Channel for More Tips:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

SQL Cheat Sheet - Geeks for Geeks

SQL for Data Science Cheat Sheet - DataCamp

*Complete Roadmap to learn SQL in 2025* 👇👇

1. Basic Concepts
- Understand databases and SQL.
- Learn data types (INT, VARCHAR, DATE, etc.).

2. Basic Queries
- SELECT: Retrieve data.
- WHERE: Filter results.
- ORDER BY: Sort results.
- LIMIT: Restrict results.

3. Aggregate Functions
- COUNT, SUM, AVG, MAX, MIN.
- Use GROUP BY to group results.

4. Joins
- INNER JOIN: Combine rows from two tables based on a condition.
- LEFT JOIN: Include all rows from the left table.
- RIGHT JOIN: Include all rows from the right table.
- FULL OUTER JOIN: Include all rows from both tables.

5. Subqueries
- Use nested queries for complex data retrieval.

6. Data Manipulation
- INSERT: Add new records.
- UPDATE: Modify existing records.
- DELETE: Remove records.

7. Schema Management
- CREATE TABLE: Define new tables.
- ALTER TABLE: Modify existing tables.
- DROP TABLE: Remove tables.

8. Indexes
- Understand how to create and use indexes to optimize queries.

9. Views
- Create and manage views for simplified data access.

10. Transactions
- Learn about COMMIT and ROLLBACK for data integrity.

11. Advanced Topics
- Stored Procedures: Automate complex tasks.
- Triggers: Execute actions automatically based on events.
- Normalization: Understand database design principles.

12. Practice
- Use platforms like LeetCode, HackerRank, or learnsql for hands-on practice.

Here are some free resources to learn  & practice SQL 👇👇

SQL For Data Analysis: https://t.me/SQLResourcesTP

Udacity free course- https://techurl.in/tYrRG

For Practice- https://stratascratch.com/?via=free

SQL in 30 Days: https://t.me/SQLResourcesTP/6

Top 10 SQL Projects with Datasets: https://t.me/DataScienceResourcesTP/5

Join for more free resources: https://t.me/TechPsyche

Bookmark Post for Later Use: https://tinyurl.com/SQLRoadmap2025

ENJOY LEARNING 👍👍

Please go through this top 10 SQL projects with Datasets that you can practice and can add in your resume

📌1. Social Media Analytics:
(https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset)

🚀2. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)

📌3. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-
attrition-dataset)

🚀4. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)

📌5. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)

🚀6. Inventory Management:
(https://www.kaggle.com/datasets?
search=inventory+management)

📌 7.Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-
marketing-customer-value-data)

🚀8. Financial Data Analysis:
(https://www.kaggle.com/awaiskalia/banking-database)

📌9. Supply Chain Management:
(https://www.kaggle.com/shashwatwork/procurement-analytics)

🚀10. Analysis of Sales Data:
(https://www.kaggle.com/kyanyoga/sample-sales-data)

Small suggestion from my side for non tech students: kindly pick those datasets which you like the subject in general, that way you will be more excited to practice it, instead of just doing it for the sake of resume, you will learn SQL more passionately, since it’s a programming language try to make it more exciting for yourself.

Data Science Resources: https://t.me/DataScienceResourcesTP

WhatsApp Channel: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Bookmark Post for Later Use: https://tinyurl.com/SQLProjectsDatasets

Hope this piece of information helps you

SQL Mindmap

SQL in 30 Days: https://t.me/SQLResourcesTP/6

There has never been a better time to become a data analyst.

Tackle the tools:

* Excel
* SQL
* PowerBI/Tableau
* Python/R

Sharpen these soft skills:

* Communication
* Storytelling
* Critical thinking
* Business acumen

And let your journey begin.

Learn Power BI in 2025: https://t.me/DataAnalysisResourcesTP/7

𝟏️⃣ 𝗦𝗘𝗟𝗘𝗖𝗧, 𝗪𝗛𝗘𝗥𝗘, 𝗮𝗻𝗱 𝗢𝗥𝗗𝗘𝗥 𝗕𝗬
⤷ Retrieve data from tables
⤷ Filter records with WHERE
⤷ Sort results using ORDER BY

𝟐️⃣ 𝗝𝗢𝗜𝗡𝗦 (𝗜𝗻𝗻𝗲𝗿, 𝗟𝗲𝗳𝘁, 𝗥𝗶𝗴𝗵𝘁, 𝗙𝘂𝗹𝗹)
⤷ Combine data from multiple tables
⤷ Use INNER JOIN for common records
⤷ Use LEFT JOIN to keep all left table records

𝟑️⃣ 𝗔𝗚𝗚𝗥𝗘𝗚𝗔𝗧𝗜𝗢𝗡 (𝗖𝗢𝗨𝗡𝗧, 𝗦𝗨𝗠, 𝗔𝗩𝗚, 𝗠𝗔𝗫, 𝗠𝗜𝗡)
⤷ Summarize and analyze data
⤷ Use GROUP BY for grouped metrics
⤷ Filter groups with HAVING

𝟒️⃣ 𝗦𝗨𝗕𝗤𝗨𝗘𝗥𝗜𝗘𝗦 𝗮𝗻𝗱 𝗖𝗧𝗘𝘀
⤷ Nested queries for advanced filtering
⤷ WITH clause to improve readability

𝟓️⃣ 𝗪𝗜𝗡𝗗𝗢𝗪 𝗙𝗨𝗡𝗖𝗧𝗜𝗢𝗡𝗦
⤷ Use RANK(), DENSE_RANK(), ROW_NUMBER()
⤷ Analyze running totals and moving averages

𝟔️⃣ 𝗘𝗙𝗙𝗜𝗖𝗜𝗘𝗡𝗖𝗬 𝗪𝗜𝗧𝗛 𝗜𝗡𝗗𝗘𝗫𝗘𝗦
⤷ Speed up queries using indexing
⤷ Understand clustered vs. non-clustered indexes

🔗 𝘓𝘦𝘢𝘳𝘯 𝘚𝘘𝘓 𝘍𝘙𝘌𝘌 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦𝘴𝘦 𝘳𝘦𝘴𝘰𝘶𝘳𝘤𝘦𝘴:
⤷ Resources - t.me/sqlresourcestp
⤷ 𝘞𝟹𝘚𝘤𝘩𝘰𝘰𝘭𝘴 - w3schools.com/sql/

Languages used by data engineers:

📍SQL
📍Python
📍Scala
📍Pyspark
📍Spark SQL