Complete Roadmap To Learn DSA From Scratch In 2024

Akash Doloi
2 min readApr 11, 2024
Complete Roadmap To Learn DSA From Scratch In 2024

Step 1: Understand the Basics

  1. Programming Language: Choose a programming language such as Python, Java, C++, or any other language you’re comfortable with.
  2. Basics of Programming: Make sure you have a solid understanding of basic programming concepts like variables, loops, conditionals, functions, and classes.

Step 2: Learn Data Structures

  1. Linear Data Structures:
  • Arrays
  • Linked Lists
  • Stacks
  • Queues

2. Non-linear Data Structures:

  • Trees (Binary Trees, Binary Search Trees, AVL Trees, etc.)
  • Graphs
  • Hash Tables

3. Advanced Data Structures:

  • Heaps
  • Tries
  • Segment Trees
  • Fenwick Trees (Binary Indexed Trees)

Step 3: Master Algorithms

  1. Sorting Algorithms:
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Merge Sort
  • Quick Sort
  • Radix Sort

2. Searching Algorithms:

  • Linear Search
  • Binary Search
  • Depth-First Search (DFS)
  • Breadth-First Search (BFS)

3. Graph Algorithms:

  • Shortest Path Algorithms (Dijkstra’s, Bellman-Ford)
  • Minimum Spanning Tree (Prim’s, Kruskal’s)
  • Topological Sorting
  • Graph Traversal Algorithms

4. Dynamic Programming:

  • Understanding the principles of dynamic programming
  • Solving classic DP problems like Fibonacci sequence, Longest Common Subsequence, Knapsack Problem, etc.

Step 4: Practice, Practice, Practice

  1. Online Platforms: Utilize platforms like LeetCode, HackerRank, GeeksForGeeks and Codeforces to practice DSA problems.
  2. Competitive Programming: Participate in online coding competitions like Google Code Jam, Facebook Hacker Cup, and ACM ICPC.
  3. Project-Based Learning: Implement DSA concepts in real-world projects to solidify your understanding.

Step 5: Resources for Learning

  1. Books:
  • “Introduction to Algorithms” by Thomas H. Cormen et al.
  • “Algorithms” by Robert Sedgewick and Kevin Wayne
  • “Cracking the Coding Interview” by Gayle Laakmann McDowell

2. Online Courses:

  • Coursera: “Algorithms Specialization” by Stanford University
  • edX: “Algorithm Design and Analysis” by UC San Diego
  • Udemy: “Data Structures and Algorithms: Deep Dive Using Java”

3. YouTube Channels and Tutorials:

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