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Website Development Roadmap – 2025

🔹 Stage 1: HTML – Learn the basics of web page structure.

🔹 Stage 2: CSS – Style and enhance web pages (Flexbox, Grid, Animations).

🔹 Stage 3: JavaScript (ES6+) – Add interactivity and dynamic features.

🔹 Stage 4: Git & GitHub – Manage code versions and collaborate.

🔹 Stage 5: Responsive Design – Make websites mobile-friendly (Media Queries, Bootstrap, Tailwind CSS).

🔹 Stage 6: UI/UX Basics – Understand user experience and design principles.

🔹 Stage 7: JavaScript Frameworks – Learn React.js, Vue.js, or Angular for interactive UIs.

🔹 Stage 8: Backend Development – Use Node.js, PHP, Python, or Ruby to
build server-side logic.

🔹 Stage 9: Databases – Work with MySQL, PostgreSQL, or MongoDB for data storage.

🔹 Stage 10: RESTful APIs & GraphQL – Create APIs for data communication.

🔹 Stage 11: Authentication & Security – Implement JWT, OAuth, and HTTPS best practices.

🔹 Stage 12: Full Stack Project – Build a fully functional website with both frontend and backend.
🔹 Stage 13: Testing & Debugging – Use Jest, Cypress, or other testing tools.
🔹 Stage 14: Deployment – Host websites using Netlify, Vercel, or cloud services.
🔹 Stage 15: Performance Optimization – Improve website speed (Lazy Loading, CDN, Caching).

📂 Web Development Resources

ENJOY LEARNING 👍👍

𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 & 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍

Harward :- https://pdlink.in/4kmYOn1

MIT :- https://pdlink.in/45cvR95

HP :- https://pdlink.in/45ci02k

Google :- https://pdlink.in/3YsujTV

Microsoft :- https://pdlink.in/441GCKF

Standford :- https://pdlink.in/3ThPwNw

IIM :- https://pdlink.in/4nfXDrV

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30-day Roadmap plan for SQL covers beginner, intermediate, and advanced topics 👇

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

Hope it helps :)

Top 9 websites for practicing algorithms and Data structure.

⛓ https://www.hackerrank.com/

⛓ https://leetcode.com/

⛓ https://www.codewars.com/

⛓ https://www.hackerearth.com/for-developers

⛓ https://coderbyte.com/

⛓ https://www.coursera.org/browse/computer-science/algorithms

⛓ https://www.codechef.com/

⛓ https://codeforces.com/

⛓ https://www.geeksforgeeks.org/

𝟭𝟱-𝗗𝗮𝘆 𝗣𝘆𝘁𝗵𝗼𝗻 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘄𝗶𝘁𝗵 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀!😍

Want to master Python but don’t know where to start? 🤔

Here’s a structured 15-day roadmap with handpicked FREE resources to help you learn Python from scratch!👨‍💻📌

𝐋𝐢𝐧𝐤👇:-

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✨️Bonus: Includes FREE tutorials, YouTube playlists, and coding exercises!✅️

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱? 𝗛𝗲𝗿𝗲'𝘀 𝗬𝗼𝘂𝗿 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵!😍

Skip the pricey courses — and start learning with these 5 YouTube playlists that cover everything from Excel and SQL to Power BI and real-world portfolio projects👨‍💻

Whether you’re a student, career switcher, or just brushing up for interviews, this list will give you all the tools you need — step by step.📊📌

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Save this post & start watching today.✅️

Excel Cheat Sheet 📔

This Excel cheatsheet is designed to be your quick reference guide for using Microsoft Excel efficiently.

1. Basic Functions
- SUM: =SUM(range)
- AVERAGE: =AVERAGE(range)
- COUNT: =COUNT(range)
- MAX: =MAX(range)
- MIN: =MIN(range)

2. Text Functions
- CONCATENATE: =CONCATENATE(text1, text2, ...) or =TEXTJOIN(delimiter, ignore_empty, text1, text2, ...)
- LEFT: =LEFT(text, num_chars)
- RIGHT: =RIGHT(text, num_chars)
- MID: =MID(text, start_num, num_chars)
- TRIM: =TRIM(text)

3. Logical Functions
- IF: =IF(condition, true_value, false_value)
- AND: =AND(condition1, condition2, ...)
- OR: =OR(condition1, condition2, ...)
- NOT: =NOT(condition)

4. Lookup Functions
- VLOOKUP: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
- HLOOKUP: =HLOOKUP(lookup_value, table_array, row_index_num, [range_lookup])
- INDEX: =INDEX(array, row_num, [column_num])
- MATCH: =MATCH(lookup_value, lookup_array, [match_type])

5. Data Sorting & Filtering
- Sort: *Data > Sort*
- Filter: *Data > Filter*
- Advanced Filter: *Data > Advanced*

6. Conditional Formatting
- Apply Formatting: *Home > Conditional Formatting > New Rule*
- Highlight Cells: *Home > Conditional Formatting > Highlight Cells Rules*

7. Charts and Graphs
- Insert Chart: *Insert > Select Chart Type*
- Customize Chart: *Chart Tools > Design/Format*

8. PivotTables
- Create PivotTable: *Insert > PivotTable*
- Refresh PivotTable: *Right-click on PivotTable > Refresh*

9. Data Validation
- Set Validation: *Data > Data Validation*
- List: *Allow: List > Source: range or items*

10. Protecting Data
- Protect Sheet: *Review > Protect Sheet*
- Protect Workbook: *Review > Protect Workbook*

11. Shortcuts
- Copy: Ctrl + C
- Paste: Ctrl + V
- Undo: Ctrl + Z
- Redo: Ctrl + Y
- Save: Ctrl + S

12. Printing Options
- Print Area: *Page Layout > Print Area > Set Print Area*
- Page Setup: *Page Layout > Page Setup*

Checklist for Data Analyst: https://dataanalytics.beehiiv.com/p/data

I have curated best 80+ top-notch Data Analytics Resources 👇👇
https://t.me/DataSimplifier

Like for more Interview Resources ♥️

Share with credits: https://t.me/sqlspecialist

Hope it helps :)

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗧𝗵𝗮𝘁 𝗚𝗲𝘁𝘀 𝗬𝗼𝘂 𝗛𝗶𝗿𝗲𝗱?😍

If you’re just starting out in data analytics and wondering how to stand out — real-world projects are the key📊

No recruiter is impressed by “just theory.” What they want to see? Actionable proof of your skills👨‍💻📌

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Show recruiters that you don’t just “know” tools — you use them to solve problems✅️

Top Programming Languages for Beginners 👆

Starting with coding is a fantastic foundation for a tech career. As you grow your skills, you might explore various areas depending on your interests and goals:

• Web Development: If you enjoy building websites and web applications, diving into web development could be your next step. You can specialize in front-end (HTML, CSS, JavaScript) or back-end (Python, Java, Node.js) development, or become a full-stack developer.

• Mobile App Development: If you're excited about creating apps for smartphones and tablets, you might explore mobile development. Learn Swift for iOS or Kotlin for Android, or use cross-platform tools like Flutter or React Native.

• Data Science and Analysis: If analyzing and interpreting data intrigues you, focusing on data science or data analysis could be your path. You'll use languages like Python or R and tools like Pandas, NumPy, and SQL.

• Game Development: If you’re passionate about creating games, you might explore game development. Languages like C# with Unity or C++ with Unreal Engine are popular choices in this field.

• Cybersecurity: If you're interested in protecting systems from threats, diving into cybersecurity could be a great fit. Learn about ethical hacking, penetration testing, and security protocols.

• Software Engineering: If you enjoy designing and building complex software systems, focusing on software engineering might be your calling. This involves writing code, but also planning, testing, and maintaining software.

• Automation and Scripting: If you're interested in making repetitive tasks easier, scripting and automation could be a good path. Python, Bash, and PowerShell are popular for writing scripts to automate tasks.

• Artificial Intelligence and Machine Learning: If you're fascinated by creating systems that learn and adapt, exploring AI and machine learning could be your next step. You’ll work with algorithms, data, and models to create intelligent systems.

Regardless of the path you choose, the key is to keep coding, learning, and challenging yourself with new projects. Each step forward will deepen your understanding and open new opportunities in the tech world.

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 — 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗗𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗳𝗿𝗼𝗺 𝗚𝗼𝗼𝗴𝗹𝗲?😍

Whether you’re a student, job seeker, or just hungry to upskill — these 5 beginner-friendly courses are your golden ticket🎟️

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𝐋𝐢𝐧𝐤👇:-

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Enjoy Learning ✅️

𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗝𝘂𝘀𝘁 𝗥𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝟱 𝗙𝗥𝗘𝗘 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻’𝘁 𝗠𝗶𝘀𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱!😍

🚨 Harvard just dropped 5 FREE online tech courses — no fees, no catches!📌

Whether you’re just starting out or upskilling for a tech career, this is your chance to learn from one of the world’s top universities — for FREE. 🌍

𝐋𝐢𝐧𝐤👇:-

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💡Learn at your own pace, earn certificates, and boost your resume✅️