How to Solve a DSA Problem on Online Coding Platforms Leetcode, InterviewBit, Geeksforgeeks

If you’re a programmer or a coding enthusiast, you know that data structures and algorithms (DSA) form the foundation of computer science. Mastery of DSA is crucial for building efficient, scalable, and optimized software applications. However, improving DSA skills can be challenging, and that’s where online coding platforms like Leetcode, InterviewBit, and Geeksforgeeks come in. In this article, we’ll guide you on how to solve DSA problems on these platforms and enhance your skills effectively.

Table of Contents

Key Takeaways

  • Online coding platforms like Leetcode, InterviewBit, and Geeksforgeeks offer a wide range of DSA problems for practice and learning.
  • Practicing DSA problems helps improve problem-solving skills, prepares you for technical interviews, and provides exposure to real-world coding challenges.
  • Understanding the structure of DSA problems and choosing the right online coding platform is crucial for effective DSA practice.

Why practice DSA problems on online coding platforms?

At some point in our journey as developers, we all come across DSA problems – challenges that require knowledge and application of Data Structures and Algorithms. Apart from being a fundamental part of coding interviews, DSA problems are prevalent in real-world coding challenges. The good news is that there are online coding platforms available that can help us practice and master DSA concepts.

Here are some reasons why we should consider utilizing online coding platforms for DSA practice:

  1. Improving problem-solving skills: DSA problems are designed to test our problem-solving ability and encourage critical thinking. Through regular practice, we can sharpen this skill and become better developers.
  2. Preparing for technical interviews: DSA problems are a common component of technical interviews. Practicing on online coding platforms equips us with the confidence and skills required to ace these interviews and land our dream job.
  3. Exposure to real-world coding challenges: Online coding platforms provide access to a vast repository of coding challenges that simulate real-world scenarios. Solving these problems can give us a deeper understanding of coding applications and implementations.

Overall, practicing DSA problems on online coding platforms can help us become better developers and prepare us for technical interviews or real-world coding challenges. In the following sections, we will explore how to approach these problems, choose the right platforms, and implement DSA concepts in our code.

Understanding the structure of DSA problems

When it comes to DSA problems on online coding platforms, it’s crucial to understand their structure. Knowing what to expect can help streamline the problem-solving process and improve efficiency. Let’s take a closer look at the typical elements found in DSA problems:

  1. Input/output format: Every DSA problem will have a specific input/output format that needs to be followed. This includes the number of test cases, the number of elements in each test case, and the expected output format. Make sure to read the problem statement carefully and understand the input/output format before proceeding.
  2. Constraints: DSA problems often have constraints that limit the size and type of inputs. These constraints can range from the maximum size of an array to the highest value of an integer. Be sure to take these constraints into account while designing the algorithm.
  3. Expected time/space complexity: Every DSA problem will have an expected time and space complexity for the algorithm used to solve it. It’s essential to design an algorithm that meets these requirements, as exceeding them can result in a time limit exceeded error.

Keeping these elements in mind while approaching a DSA problem can help simplify the process and lead to better results.

Choosing the right online coding platform for DSA practice

When it comes to practicing DSA problems on online coding platforms, choosing the right platform can make all the difference in your progress. While there are numerous platforms available, we will compare the three most popular ones: Leetcode, InterviewBit, and Geeksforgeeks.


Leetcode is a favorite platform among interviewees and interviewers alike due to its vast collection of over 1900 problems, broad problem categories, and an interactive coding environment that simulates a real coding environment. Leetcode provides an extensive range of problem-solving resources, including FAQs, solution walkthroughs, time/space complexity analysis, and a well-structured discussion forum to share insights and ask for help. Leetcode’s premium subscription offers additional benefits such as mock interviews, company-specific questions, and access to user statistics.


InterviewBit is known for its coding courses and interview preparation resources. The platform includes over 1500 problems covering a wide range of difficulty levels, which is an excellent resource for interview preparation. It also has a vast library of articles and tutorials to help users learn more about different algorithms and data structures. InterviewBit’s mock interview feature is useful in helping users prepare for technical interviews.


Geeksforgeeks is an incredibly comprehensive platform that offers a wide variety of resources for learning DSA concepts and practicing problems. It has over 11,000 problems that cover different areas, including algorithms, data structures, programming languages, and system design. Geeksforgeeks also offers a vast library of articles, tutorials, quizzes, and a discussion forum to learn and seek help.

When selecting an online coding platform for DSA practice, it’s essential to choose a platform that fits your learning style, skill level, and goals. All platforms provide an excellent resource for DSA practice and have their unique features that can enhance your coding skills and interview preparation.

Navigating the Leetcode Platform for DSA Problems

If you’re looking to improve your DSA problem-solving skills, Leetcode is a great platform to practice on. Here’s a step-by-step guide on how to navigate the platform:

  1. Sign up for a free account on Leetcode.
  2. Once you’re logged in, you’ll see a dashboard with different tabs. Click on the “Problems” tab to access the DSA problems.
  3. On the Problems page, you can filter problems by difficulty level, company, or tags. This makes it easier to find problems that are relevant to your skill level and interests.
  4. Click on a problem that you want to solve. This will take you to the problem page, where you can read the problem statement and the constraints.
  5. Leetcode provides an online editor where you can write your code. To test your code, you can use their sample test cases or create your own custom test cases.
  6. If you’re stuck on a problem, Leetcode provides a “Discuss” section where you can ask for help or read through similar problems for inspiration.
  7. Once you’ve solved a problem, you can submit your code for verification. Leetcode will run several test cases on your code to ensure that it’s correct and efficient.

By following these steps, you’ll be able to effectively use the Leetcode platform to practice and improve your DSA problem-solving skills.

Pro Tip: If you’re new to Leetcode, start with easy problems to build your confidence and then gradually move to harder problems.

Mastering DSA problems on InterviewBit

If you’re looking for a platform to master DSA problems, InterviewBit is a great option to consider. With a focus on technical interview preparation, InterviewBit offers a variety of DSA problems that are frequently seen in interviews.

One unique feature of InterviewBit is its mock interview option, which allows you to simulate a real technical interview experience. This can be incredibly valuable for getting a feel for the types of DSA problems you may encounter and practicing your problem-solving skills under pressure.

Another useful feature of InterviewBit is its leaderboard system, which lets you compare your progress with other users and provides motivation to keep improving. The platform also offers explanations and video tutorials for each problem, ensuring that you have access to resources to help you learn and understand different concepts.

To get the most out of InterviewBit, it’s important to approach the platform systematically. Start by choosing a topic or category of problems to focus on and work your way through them methodically. Don’t be afraid to spend extra time on difficult problems or revisit concepts that you find particularly challenging.

Remember that InterviewBit should be used as a tool to supplement your DSA practice, rather than a standalone solution. Make sure to also explore other coding platforms and resources to ensure that you have a well-rounded understanding of different problem types and techniques.

Our Tips for Mastering DSA problems on InterviewBit:

  • Utilize the mock interview feature to practice problem-solving under pressure
  • Start with a specific topic or category of problems and work through them systematically
  • Take advantage of the explanations and video tutorials provided for each problem
  • Compare your progress with other users on the leaderboard to stay motivated
  • Supplement your InterviewBit practice with other coding platforms and resources

Advancing DSA Skills on Geeksforgeeks

Geeksforgeeks is a popular online coding platform that offers a wide range of DSA problems and tutorials to help programmers improve their skills. If you’re looking to advance your DSA skills, Geeksforgeeks is an excellent platform to dive into.

The platform has an extensive collection of DSA problems, ranging from beginner to advanced level, covering various topics like algorithms, data structures, and more. Additionally, Geeksforgeeks offers tutorials, articles, and videos to help programmers learn and understand complex DSA concepts.

One of the unique features of Geeksforgeeks is its ability to track your progress as you solve problems. The platform provides a dashboard that displays your stats and progress, allowing you to monitor your growth and identify areas that need improvement.

Geeksforgeeks also offers mock interview options, allowing you to simulate technical interviews and practice your problem-solving skills in a real-world setting. This can be particularly helpful in preparing for technical interviews for job opportunities.

To get the most out of Geeksforgeeks, we recommend starting with the basics and working your way up. Begin with fundamental concepts like arrays, linked lists, and sorting algorithms. Then progress to more advanced topics like dynamic programming, graph algorithms, and data structure design.

Overall, Geeksforgeeks is an excellent platform to advance your DSA skills. With its vast collection of problems, tutorials, and mock interview options, it’s a great resource to add to your DSA learning toolkit.

Approaching DSA Problems Systematically

When faced with a daunting DSA problem, it’s easy to feel overwhelmed and unsure of where to begin. However, with a systematic approach, we can break down a complex problem into smaller, more manageable sub-problems. This enables us to tackle each sub-problem independently and combine them to form a complete solution. Here are some tips for a systematic approach to DSA problems:

  1. Read the problem statement carefully: Before beginning to write any code, we must first comprehend the problem statement in its entirety. Pay close attention to the input/output formats, constraints, and expected time/space complexities.
  2. Understand the problem requirements: Identify the problem’s requirements, constraints, and edge cases. This can help us create a correct and optimal solution.
  3. Break the problem down into smaller sub-problems: Divide the problem into smaller parts or sub-problems. This can make the problem easier to understand and solve.
  4. Choose a suitable data structure or algorithm: Select an appropriate data structure or algorithm for each sub-problem. Choose one that can efficiently solve the problem and address the constraints and requirements.
  5. Write pseudocode: Use pseudocode to draft out the steps required to solve each sub-problem. This step can enable us to spot potential issues early on and refine our solution strategy.
  6. Implement and test the solution: Once we have written the pseudocode, we can implement it into actual code. Test the code for accuracy and efficiency and make any necessary adjustments.

Using a systematic approach can enable us to tackle DSA problems with confidence and efficiency. By breaking down a problem into smaller sub-problems, we can identify efficient data structures and algorithms, use pseudocode to refine our strategy, and create a final optimized solution.

Understanding common DSA problem-solving techniques

As we solve more DSA problems on online coding platforms, we will come across various problem-solving techniques that can help us arrive at the optimal solution. Let’s explore some of the most commonly used techniques:

Brute Force

Brute force involves trying out all possible solutions to a problem. While it may not always be the most efficient technique, it can be useful when dealing with small or relatively simple problems.

Greedy Algorithms

Greedy algorithms make the locally optimal choice at each step, with the hope of finding a global optimal solution. This technique can be useful in problems that have optimal substructure, meaning that the optimal solution can be constructed from optimal solutions to subproblems.

Dynamic Programming

Dynamic programming is a technique that involves breaking a complex problem into simpler subproblems and storing their solutions. This can reduce the time complexity of the algorithm, making it more efficient.

Divide and Conquer

Divide and conquer involves breaking a problem into smaller subproblems of the same type and solving them recursively. This technique can be useful in problems that have overlapping subproblems and can result in a more efficient algorithm.

Understanding these problem-solving techniques is crucial for improving our efficiency in solving DSA problems. By practicing and applying these techniques, we can tackle increasingly complex problems on online coding platforms.

Implementing DSA algorithms and data structures

Now that we understand the structure of DSA problems and have selected a suitable online coding platform, it’s time to dive into the implementation of DSA algorithms and data structures. Practicing the implementation of these concepts is essential to solve complex coding problems efficiently. Here, we will cover some of the most widely used DSA algorithms and data structures.


Arrays are a fundamental data structure used to store and manipulate lists of data. The operations commonly used with arrays include insertion, deletion, and traversal. Understanding how arrays work, their time and space complexities, and common problems encountered when working with them is essential to efficiently solve coding problems.

Linked Lists

Linked lists are similar to arrays, but instead of storing data in contiguous memory locations, they store data as individual nodes that point to the next node in the list. Linked lists offer some advantages over arrays, such as dynamic memory allocation and efficient insertions and deletions. Understanding linked lists’ operations, advantages, and disadvantages is crucial in solving DSA problems.


Trees are hierarchical data structures that are used to store and represent data in a hierarchical manner. Trees consist of nodes that have parent-child relationships and are commonly used to represent data like company hierarchies, family trees, and decision trees. Trees’ operations include traversal, insertion, deletion, and search, and understanding these operations is necessary to solve DSA problems efficiently.

Sorting Algorithms

Sorting algorithms are used to arrange a list of data elements in a specific order. Common sorting algorithms include bubble sort, selection sort, insertion sort, merge sort, quicksort, and heapsort. Each sorting algorithm has its advantages and disadvantages, and understanding when to use each algorithm is crucial to solve coding problems efficiently.

Graph Algorithms

Graphs are data structures used to represent relationships between different elements. Graph algorithms are used to traverse and manipulate graphs. Common graph algorithms include depth-first search (DFS), breadth-first search (BFS), Dijkstra’s algorithm, and Floyd Warshall algorithm. Understanding graph algorithms and their operations is essential to solve DSA problems efficiently.

Implementing DSA algorithms and data structures can be challenging. Therefore, we recommend practicing these concepts regularly on online coding platforms until you become comfortable with them. With time, you will develop a strong foundation in DSA, enabling you to solve complex coding problems with ease.

Utilizing online coding communities for support

One of the greatest advantages of practicing DSA problems on online coding platforms is the ability to connect with a community of like-minded coders who share a passion for problem-solving.

These communities can serve as a valuable resource for seeking guidance, feedback, and support. Whether it’s through forums, chat rooms, or discussion boards, there are a variety of avenues for engaging with fellow coders.

Many online coding platforms also offer peer feedback systems, where users can review each other’s code and provide constructive criticism. This can be an excellent way to gain insight into different problem-solving techniques and improve your own skills.

When seeking assistance from the community, it’s important to be respectful and courteous to others. Remember that everyone is on their own learning journey and may be at different stages of their development.

By participating in online coding communities, we can expand our knowledge and build relationships with others who share our passion for DSA problem-solving. This can be a powerful tool for personal and professional growth.

Solving an example DSA problem step-by-step

Let’s put everything we have discussed so far into practice! Here is an example DSA problem:

Given an array of integers, find two numbers such that they add up to a specific target number.

Assume that each input has exactly one solution, and you may not use the same element twice. You can return the answer in any order.

This problem is a classic example of a two-sum problem that requires us to find a target sum by adding two elements from the input array. Let’s solve this problem step-by-step:

  1. Understand the problem: We need to find two numbers in an array that add up to a target number. We can assume that each input has only one solution, and we cannot use the same element twice. We can return the answer in any order.
  2. Clarify the input: The input is an unsorted array of integers and a target integer.
  3. Clarify the output: The output is a pair of integers that add up to the target integer.
  4. Initial thoughts: One approach would be to use brute force and check every pair of numbers in the array to find the target sum. However, this would take O(n^2) time, which is not efficient. An alternative approach would be to use a hash table to store the complement of each element in the array and check if the complement exists in the hash table. This approach would take O(n) time, which is much faster.
  5. Create a plan: We will use a hash table to store the complement of each element as we traverse through the array. If the complement exists in the hash table, we return the indices of the current element and its complement. If the complement does not exist, we continue iterating through the array and adding each element’s complement to the hash table.
  6. Code:
def twoSum(nums, target):
    hash_table = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in hash_table:
            return [hash_table[complement], i]
        hash_table[num] = i

Test the code: Let’s test the code with the following inputs:

Input: Output:
nums = [2, 7, 11, 15]
target = 9
[0, 1]

Our code correctly returns the indices of the two numbers that add up to the target sum. We can also test the code with other inputs to verify its correctness.

Congratulations! You have solved an example DSA problem step-by-step. Remember, the key to solving DSA problems is to approach them systematically, understand their structure, apply the appropriate problem-solving techniques, and practice regularly on online coding platforms.

Tips for improving DSA problem-solving speed and accuracy

Now that we have covered the basics of solving DSA problems on online coding platforms, it’s time to take our skills to the next level. Here are some tips and techniques to improve your DSA problem-solving speed and accuracy:

  1. Practice regularly: Like any other skill, DSA problem-solving requires consistent practice to improve. Make it a habit to solve at least one problem a day, or dedicate a specific time slot each week for practicing.
  2. Analyze the problem: Before jumping into coding, take a few moments to analyze the problem statement. Identify the input/output format, constraints, and any underlying patterns or logic. This will help you formulate a plan of attack and avoid unnecessary mistakes.
  3. Break down the problem: Complex problems can be overwhelming, so it’s essential to break them down into smaller sub-problems that are easier to solve. Identify the different components of the problem and solve them step-by-step.
  4. Optimize your code: After getting a working solution, analyze your code for any redundant or unnecessary steps. Look for ways to optimize the code by reducing time or space complexity. This will not only improve speed but also make your code more efficient.
  5. Test your code: Before submitting your code, make sure to test it thoroughly. Try different input values, edge cases, and boundary conditions to ensure that your code works in all scenarios.
  6. Learn from your mistakes: Don’t be discouraged by failures, instead, use them as opportunities to learn. Analyze your mistakes, understand what went wrong, and try to avoid similar errors in the future.
  7. Stay up-to-date: Keep yourself updated with the latest DSA algorithms and techniques. Attend webinars, read blogs, and participate in coding competitions to stay on top of your game.

By following these tips and techniques, you can significantly improve your DSA problem-solving speed and accuracy. Remember, it’s not about solving the most number of problems, but about solving them efficiently and effectively.

Resources for further DSA practice and learning

As we conclude this article, we want to provide you with some resources for further DSA practice and learning. It’s essential to continue practicing and testing your problem-solving skills regularly to strengthen your DSA knowledge.

Here are some of our recommended resources:

  • Books: Some highly recommended books for DSA practice include “Cracking the Coding Interview” by Gayle Laakmann McDowell, “Introduction to Algorithms” by Thomas H. Cormen, and “Data Structures and Algorithms Made Easy” by Narasimha Karumanchi.
  • Online courses: Platforms like Coursera, Udemy, and edX offer excellent online courses on DSA. These courses are designed by experts and experienced programmers, making them a valuable resource for learning and practicing DSA.
  • YouTube channels: YouTube is a great platform for learning and improving your DSA skills. Channels like “Back To Back SWE,” “mycodeschool,” and “GeeksforGeeks” offer free tutorials, tips, and problem-solving videos for DSA.
  • Coding competitions: Participating in coding competitions is an excellent way to test your DSA skills and compete with other programmers. Platforms like Codeforces, HackerRank, and TopCoder offer a range of competitions and challenges for coders of all skill levels.

These are just a few of the many resources available for DSA practice and learning. We encourage you to explore and find what works best for you!


So, there you have it – an in-depth guide on solving DSA problems on popular online coding platforms like Leetcode, InterviewBit, and Geeksforgeeks. We have covered the benefits of practicing DSA problems on these platforms, explained the structure of DSA problems, provided tips on how to approach them systematically, and shared problem-solving techniques and coding resources to enhance your skills.

By now, we hope you are convinced that online coding platforms are an excellent resource for improving your problem-solving abilities, and you are eager to start practicing regularly. Remember, consistency is key, and dedicating just a few hours a week can go a long way in advancing your skills.

If you follow our guide, you will soon notice drastic improvements in your DSA problem-solving speed and accuracy. Moreover, these skills will prove invaluable in technical interviews and real-world coding challenges.

So, what are you waiting for? Start solving DSA problems on these online coding platforms today and take your coding skills to the next level!


Q: How do I solve a DSA problem on online coding platforms like Leetcode, InterviewBit, and Geeksforgeeks?

A: To solve a DSA problem on these platforms, you should first understand the problem statement and the expected input/output format. Then, you can apply various problem-solving techniques, such as brute force, greedy algorithms, dynamic programming, or divide and conquer, depending on the problem’s requirements. Finally, you can implement your solution in a programming language of your choice and test it against the given test cases.

Q: Why should I practice DSA problems on online coding platforms?

A: Practicing DSA problems on online coding platforms helps improve your problem-solving skills, prepares you for technical interviews, and exposes you to real-world coding challenges. It also allows you to track your progress, compete with other programmers, and learn from community discussions and solutions.

Q: What is the typical structure of DSA problems on online coding platforms?

A: DSA problems on online coding platforms usually include a problem statement that describes the task, input/output formats, and any constraints. The goal is to write a program or a function that solves the problem and returns the correct output for the given inputs.

Q: How do I choose the right online coding platform for DSA practice?

A: When selecting an online coding platform for DSA practice, consider factors such as problem diversity, interactive coding environments, and community support. You can compare platforms like Leetcode, InterviewBit, and Geeksforgeeks to find the one that suits your learning style and goals.

Q: How do I navigate the Leetcode platform for DSA problems?

A: To navigate the Leetcode platform for DSA problems, you can browse problem categories, use the search function to find specific problems, and take advantage of Leetcode’s problem-solving resources like editorials and discussion forums.

Q: How can I master DSA problems on InterviewBit?

A: To excel at solving DSA problems on InterviewBit, you can leverage its unique features like mock interviews and interview preparation courses. Additionally, you can practice solving problems from different categories and participate in the InterviewBit community to gain insights and feedback.

Q: How can I advance my DSA skills on Geeksforgeeks?

A: Geeksforgeeks provides an extensive collection of DSA problems, tutorials, and articles that can help you understand complex algorithms and data structures. You can use these resources to enhance your DSA skills and deepen your understanding of various topics.

Q: How should I approach DSA problems systematically?

A: When approaching DSA problems, it is helpful to follow a systematic approach. This includes understanding the problem, analyzing its requirements, breaking it into smaller sub-problems, planning a solution using pseudocode, implementing the solution, and testing it against different test cases.

Q: What are some common DSA problem-solving techniques?

A: Common problem-solving techniques in DSA include brute force, greedy algorithms, dynamic programming, and divide and conquer. Each technique has its own advantages and is applicable in different problem scenarios. It’s important to understand when and how to apply these techniques.

Q: How do I implement DSA algorithms and data structures?

A: To implement DSA algorithms and data structures, you can follow the specific implementation guidelines provided in tutorials, textbooks, or online resources. You will need to understand the underlying concepts and choose an appropriate programming language to write the code.

Q: How can I utilize online coding communities for support?

A: Online coding communities offer valuable support and resources for programmers. You can participate in forums, discussion boards, and peer feedback platforms to seek assistance, share knowledge, and learn from others’ experiences. It’s a great way to expand your network and stay updated on the latest trends.

Q: Can you walk me through the step-by-step process of solving an example DSA problem?

A: Certainly! In the next section, we will provide a detailed step-by-step guide on how to solve an example DSA problem from one of the mentioned coding platforms. Stay tuned!

Q: What are some tips for improving DSA problem-solving speed and accuracy?

A: To enhance your DSA problem-solving speed and accuracy, you can focus on code optimization, analyze the time and space complexity of your solutions, and practice efficient debugging techniques. Additionally, staying up to date with common algorithms and data structures can also help improve your efficiency.

Q: Where can I find additional resources for DSA practice and learning?

A: There are several resources available for further DSA practice and learning. You can explore books, online courses, YouTube channels, and coding competitions to deepen your understanding and hone your skills. We will provide specific recommendations in the final section of this article.

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