Vikas Rajput
Vikas Rajput

@vikasrajputin

8 tweets 7 reads Feb 29, 2024
As a programmer, mastering data structures and algorithms is crucial in landing a high-paying tech job.
Here's a simple and guided roadmap to quickly get you started:
1. First Comes Foundation
Pick a programming language and learn its basics like data types, operators, conditional statements, loops, etc.
Learn the basics of algorithms, time/space complexity, and basic problem-solving in general.
2. Data Structures
Learn about data structures like arrays, stacks, queues, linked lists, doubly linked lists, etc.
Understand how they store data, their fundamental difference and when to apply which one.
3. Sorting and Searching Algorithms
Start with popular sorting algorithms like bubble, selection, insertion, merge, quicksort, etc.
Practice searching techniques like linear and binary search.
Solve ample problems, learning to apply them in a program. Practice it rigorously.
4. Advance Data Structures
Move to hierarchical structures like trees (binary, AVL) and explore graphs (DFS, BFS).
Learn, about Heaps (Min, Max Heap sort), and Hashtables along with different algorithms around them.
5. Advance Algorithms
Learn about popular problem-solving techniques such as Recursions, Backtracking, and Dynamic Programming.
The more problems you'll solve, the more you're able to apply them in a program.
6. If you want to learn DSA in a fun manner then I would highly recommend checking out the "Algorithms and Data Structures" course on Brilliant.
It's beginner-friendly with a super-intuitive user interface and engaging animations to help you quickly grasp all the fundamentals.
7. Because brilliant partnered with me, you can get a 30-day FREE trial and a 20% off your first year subscription:
brilliant.org

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