Web Development
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Learn Web Development From Scratch

0️⃣ HTML / CSS
1️⃣ JavaScript
2️⃣ React / Vue / Angular
3️⃣ Node.js / Express
4️⃣ REST API
5️⃣ SQL / NoSQL Databases
6️⃣ UI / UX Design
7️⃣ Git / GitHub

Admin: @love_data
Download Telegram
📌Figma Plugins
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React Redux Workflow - Graphical Cheat Sheet
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𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗔𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝗶𝗮 😍

Multiple top MNCs are hiring for various roles across domains!

🔹 Roles: Tech & Non-Tech

🔹 Location: PAN India

🔹 Qualification: Graduate / Post Graduate

🔹 Salary: Competitive Packages

𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇:-

https://bit.ly/4f5VAmj

Select your experience & Complete The Registration Process

 Select the company name & apply for the role that matches you
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Project ideas for Web Development 👆

💡 How many of these you have build already?
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Frontend Development Roadmap
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The Only SQL You Actually Need For Your First Job (Data Analytics)

The Learning Trap: What Most Beginners Fall Into

When starting out, it's common to feel like you need to master every possible SQL concept. You binge YouTube videos, tutorials, and courses, yet still feel lost in interviews or when given a real dataset.

Common traps:

- Complex subqueries

- Advanced CTEs

- Recursive queries

- 100+ tutorials watched

- 0 practical experience


Reality Check: What You'll Actually Use 75% of the Time

Most data analytics roles (especially entry-level) require clarity, speed, and confidence with core SQL operations. Here’s what covers most daily work:

1. SELECT, FROM, WHERE — The Foundation

SELECT name, age
FROM employees
WHERE department = 'Finance';

This is how almost every query begins. Whether exploring a dataset or building a dashboard, these are always in use.

2. JOINs — Combining Data From Multiple Tables

SELECT e.name, d.department_name
FROM employees e
JOIN departments d ON e.department_id = d.id;

You’ll often join tables like employee data with department, customer orders with payments, etc.

3. GROUP BY — Summarizing Data

SELECT department, COUNT(*) AS employee_count
FROM employees
GROUP BY department;

Used to get summaries by categories like sales per region or users by plan.

4. ORDER BY — Sorting Results

SELECT name, salary
FROM employees
ORDER BY salary DESC;

Helps sort output for dashboards or reports.

5. Aggregations — Simple But Powerful

Common functions: COUNT(), SUM(), AVG(), MIN(), MAX()

SELECT AVG(salary)
FROM employees
WHERE department = 'IT';

Gives quick insights like average deal size or total revenue.

6. ROW_NUMBER() — Adding Row Logic

SELECT *
FROM (
SELECT *, ROW_NUMBER() OVER(PARTITION BY customer_id ORDER BY order_date DESC) as rn
FROM orders
) sub
WHERE rn = 1;

Used for deduplication, rankings, or selecting the latest record per group.

Credits: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02

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