Practice, Practice and Practice more
With this, we have completed the basics of major Data structure and Algorithms, and now it’s time to try our hands on each of them.
This is highly applicable for learning DSA. You have learned a lot of data structures and algorithms and now you need a lot of practice. This may be seen as a separate step or an integrated part of the process of learning DSA. Because of its importance, we are discussing it as a separate step.
For practicing problems on individual data structures and algorithms, you can use the following links:
- Practice problems on Arrays
- Practice problems on Strings
- Practice problems on Linked Lists
- Practice problems on Searching algorithm
- Practice problems on Sorting algorithm
- Practice problems on Divide And Conquer algorithm
- Practice problems on Stack
- Practice problems on Queue
- Practice problems on Tree
- Practice problems on Graph
- Practice problems on Greedy algorithm
- Practice problems on Recursion algorithm
- Practice problems on Backtracking algorithm
- Practice problems on Dynamic Programming algorithm
Apart from these, there are many other practice problems that you can refer based on their respective difficulties:
You can also try to solve the most asked interview questions based on the list curated by us at:
You can also try our curated lists of problems from below articles:
Complete Roadmap To Learn DSA From Scratch
Today’s world is highly reliable on data and their appropriate management through widely used apps and software. The backbone for appropriate management of data is Data Structure and Algorithms (for convenience here we will use the term DSA). It is a dream for many to achieve expertise in handling and creating these apps and software. With this target in mind, they set out on the journey of learning DSA. The very first step in the journey is the creation of a complete roadmap to learn data structure and algorithms.
Here in this article, we will try to make that task easy for you. We will be providing here with a complete roadmap for learning data structure and algorithms for anyone keen to learn DSA, from scratch.
Table of Contents/Roadmap
- 5 steps to learn DSA from scratch
- Learn at least one Programming Language
- Learn about Complexities
- Learn Data Structure and Algorithms
- 1) Array
- 2) String
- 3) Linked List
- 4) Searching Algorithm
- 5) Sorting Algorithm
- 6) Divide and Conquer Algorithm
- 7) Stack
- 8) Queue
- 9) Tree Data Structure
- 10) Graph Data Structure
- 11) Greedy Methodology
- 12) Recursion
- 13) Backtracking Algorithm
- 14) Dynamic Programming
- Practice, practice and practice more
- Compete and become a pro
- Tips to boost your learning
- Learn the Fundamentals of chosen Language properly
- Get a good grasp of the Complexity Analysis
- Focus on Logic Building
- Don’t worry if stuck on a problem
- Be consistent
- Conclusion
From creating Games to building Social Media Algorithms. DSA plays an integral part whether you want to build something of your own or either may be willing to get a job in big tech giants like Google, Microsoft, Netflix and more. This time, learn DSA with us, with our most popular DSA course, trusted by over 75,000 students! Designed by leading experts having years of industry expertise, which gives you a complete package of video lectures, practice problems, quizzes, and contests. Get started!