10 Steps to Landing a High Paying Job in Data Analytics

1. Learn SQL - joins & windowing functions is most important

2. Learn Excel- pivoting, lookup, vba, macros is must

3. Learn Dashboarding on POWER BI/ Tableau

4. ⁠Learn Python basics- mainly pandas, numpy, matplotlib and seaborn libraries

5. ⁠Know basics of descriptive statistics

6. ⁠With AI/ copilot integrated in every tool, know how to use it and add to your projects

7. ⁠Have hands on any 1 cloud platform- AZURE/AWS/GCP

8. ⁠WORK on atleast 2 end to end projects and create a portfolio of it

9. ⁠Prepare an ATS friendly resume & start applying

10. ⁠Attend interviews (you might fail in first 2-3 interviews thats fine),make a list of questions you could not answer & prepare those.

Give more interview to boost your chances through consistent practice & feedback 😄👍

If I wanted to get my opportunity to interview at Google or Amazon for SDE roles in the next 6-8 months…

Here’s exactly how I’d approach it (I’ve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs):

► Step 1: Learn to Code (from scratch, even if you’re from non-CS background)

I helped my sister go from zero coding knowledge (she studied Biology and Electrical Engineering) to landing a job at Microsoft.

We started with:
- A simple programming language (C++, Java, Python — pick one)
- FreeCodeCamp on YouTube for beginner-friendly lectures
- Key rule: Don’t just watch. Code along with the video line by line.

Time required: 30–40 days to get good with loops, conditions, syntax.

► Step 2: Start with DSA before jumping to development

Why?
- 90% of tech interviews in top companies focus on Data Structures & Algorithms
- You’ll need time to master it, so start early.

Start with:
- Arrays → Linked List → Stacks → Queues
- You can follow the DSA videos on my channel.
- Practice while learning is a must.

► Step 3: Follow a smart topic order

Once you’re done with basics, follow this path:

1. Searching & Sorting
2. Recursion & Backtracking
3. Greedy
4. Sliding Window & Two Pointers
5. Trees & Graphs
6. Dynamic Programming
7. Tries, Heaps, and Union Find

Make revision notes as you go — note down how you solved each question, what tricks worked, and how you optimized it.

► Step 4: Start giving contests (don’t wait till you’re “ready”)

Most students wait to “finish DSA” before attempting contests.
That’s a huge mistake.

Contests teach you:
- Time management under pressure
- Handling edge cases
- Thinking fast

Platforms: LeetCode Weekly/ Biweekly, Codeforces, AtCoder, etc.
And after every contest, do upsolving — solve the questions you couldn’t during the contest.

► Step 5: Revise smart

Create a “Revision Sheet” with 100 key problems you’ve solved and want to reattempt.

Every 2-3 weeks, pick problems randomly and solve again without seeing solutions.

This trains your recall + improves your clarity.

Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502

ENJOY LEARNING 👍👍

How to get started with data science

Many people who get interested in learning data science don't really know what it's all about.

They start coding just for the sake of it and on first challenge or problem they can't solve, they quit.

Just like other disciplines in tech, data science is challenging and requires a level of critical thinking and problem solving attitude.

If you're among people who want to get started with data science but don't know how - I have something amazing for you!

I created Best Data Science & Machine Learning Resources that will help you organize your career in data.

Happy learning 😄😄

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/

Top 40 commonly asked DSA questions :

𝗔𝗿𝗿𝗮𝘆𝘀 𝗮𝗻𝗱 𝗦𝘁𝗿𝗶𝗻𝗴𝘀:
1. Find the missing number in an array of integers.
2. Implement an algorithm to rotate an array.
3. Check if a string is a palindrome.
4. Find the first non-repeating character in a string.
5. Implement an algorithm to reverse a linked list.
6. Merge two sorted arrays.
7. Implement a stack using arrays/linked list.
8. Write a program to remove duplicates from a sorted array.

𝗟𝗶𝗻𝗸𝗲𝗱 𝗟𝗶𝘀𝘁𝘀:
1. Detect a cycle in a linked list.
2. Find the intersection point of two linked lists.
3. Reverse a linked list in groups of k.
4. Implement a function to add two numbers represented by linked lists.
5. Clone a linked list with next and random pointer.

𝗧𝗿𝗲𝗲𝘀 𝗮𝗻𝗱 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝗲𝗮𝗿𝗰𝗵 𝗧𝗿𝗲𝗲𝘀 (𝗕𝗦𝗧):
1. Find the height of a binary tree.
2. Check if a binary tree is balanced.
3. Find the lowest common ancestor in a binary tree.
4. Serialize and deserialize a binary tree.
5. Implement an algorithm for in-order traversal without recursion.
6. Convert a BST to a sorted doubly linked list.

You can check these amazing resources for DSA Preparation

All the best 👍👍

Here are some common frontend interview questions along with brief answers:

1. What is the DOM (Document Object Model)?
- Answer: The DOM is a programming interface for web documents. It represents the structure of a web page and allows scripts to dynamically access and update the content, structure, and style of a webpage.

2. Explain the difference between null and undefined in JavaScript.
- Answer: null represents the intentional absence of any object value, while undefined represents a variable that has been declared but has not been assigned a value.

3. What are closures in JavaScript?
- Answer: Closures are functions that remember the scope in which they were created, even after that scope has exited. They have access to variables from their containing function's scope.

4. Describe the differences between CSS Grid and Flexbox.
- Answer: CSS Grid is a two-dimensional layout system, while Flexbox is one-dimensional. Grid is used for overall layout structure, while Flexbox is ideal for distributing space and aligning items within a container along a single axis.

5. What is responsive web design, and how do you achieve it?
- Answer: Responsive web design is an approach to design and coding that makes web pages render well on various devices and screen sizes. Achieve it through media queries, flexible grids, and fluid images.

6. Explain the "box model" in CSS.
- Answer: The box model describes how elements on a web page are rendered. It consists of content, padding, border, and margin, and these properties determine the element's total size.

7. How does the event delegation work in JavaScript?
- Answer: Event delegation is a technique where you attach a single event listener to a common ancestor of multiple elements instead of attaching listeners to each element individually. Events that bubble up from child elements can be handled by the ancestor.

8. What is the purpose of the localStorage and sessionStorage objects in JavaScript?
- Answer: Both localStorage and sessionStorage allow you to store key-value pairs in a web browser. The key difference is that data stored in localStorage persists even after the browser is closed, whereas data in sessionStorage is cleared when the session ends (e.g., when the browser is closed).

9. Explain the same-origin policy in the context of web security.
- Answer: The same-origin policy is a security measure that restricts web pages from making requests to a different domain (protocol, port, or host) than the one that served the web page. It helps prevent cross-site request forgery (CSRF) and other security vulnerabilities.

10. What are the benefits of using a CSS preprocessor like Sass or Less?
- Answer: CSS preprocessors provide benefits such as variables, nesting, functions, and mixins, which enhance code reusability, maintainability, and organization. They allow you to write cleaner and more efficient CSS.

Web Development Best Resources: https://topmate.io/coding/930165

ENJOY LEARNING 👍👍