10 Best Resources to Learn Data Structures and Algorithms in 2025
Level up your Data Structures and algorithms with these top notch resources
Hello friends,
If you're looking to learn Data Structures and Algorithms (DSA) in 2025, you’ve landed in the right place.
These foundational topics are timeless. They don't go out of fashion like frameworks or tools. Whether you're preparing for coding interviews, writing backend systems, or optimizing code performance, investing your time in DSA will continue to pay dividends throughout your career.
Why DSA Still Matters in 2025
In my experience, developers who are strong in algorithms and data structures often turn out to be better programmers overall.
They write more efficient code, solve complex problems with confidence, and tend to have better debugging and analytical skills.
That’s why I recommend every developer—from beginners to experienced engineers—spend time reviewing, refining, and practicing DSA regularly. It's like sharpening your sword before battle.
My Journey With Data Structures
If you’re anything like me, you first heard about arrays and linked lists in school or college—probably as part of an academic syllabus with very little practical context.
I still remember memorizing the differences between an array and a linked list just to pass an exam. But I didn’t really understand them.
That changed when I had to build a mobile game in my first job. I needed a 2D board to track moves, and suddenly, arrays clicked. I saw how powerful and useful even basic data structures can be when building real applications.
That hands-on moment taught me more than any textbook ever did.
Why You Can’t Ignore DSA Anymore
Back then, it was possible to scrape by without deep algorithm knowledge. But times have changed.
Today’s tech landscape is more competitive than ever. From startup interviews to FAANG coding rounds to systems-level backend work, DSA knowledge is no longer optional—it’s a differentiator.
Whether you’re building a career in Java, Python, or JavaScript, getting good at algorithms and data structures will make you faster, more confident, and more versatile.
What This Article Offers
If you're ready to level up, this guide will point you to the best Data Structure and Algorithm courses for Java, Python, and JavaScript developers.
These aren't random picks—they're highly rated, hands-on, and designed to help you go from fundamentals to advanced problem-solving.
Let’s dive in.
To start with, here is a nice Big O notation cheat sheet from DesignGurus.io to quickly revise important numbers for any data structure and algorithms
10 Best Data Structures and Algorithms Courses for Programmers in 2025
When I published my list of free data structure courses on Java, many of my readers were asking me about data structure and algorithms courses on various programming languages, mostly in Java, Python, and JavaScript.
I told them that data structure and algorithms are general programming concepts and once you are familiar with concepts you can work in any language, but with my little interaction with them, I realized that people know more about a programming language like Java or Python than a data structure like a linked list or binary tree.
That’s why it works best for them if data structures and algorithms are explained and implemented in the language they know better. That makes sense to me, and that’s why I have included data structure and algorithm courses on these three programming languages.
But, even if you don’t use those languages, you can still benefit from these courses because ultimately, data structure and algorithms are generic, and they are just concepts that can be implemented in any language.
Anyway, here are the best courses to learn Data Structure and Algorithms in 2025
1. AlgoMonster
If you are looking for a structured way to prepare for coding interviews and also learn Data Structure and Algorithms then AlgoMonster is a great place to start with.
AlgoMonster is designed by a group of Google Engineer who has gone through the tiring process of preparing countless coding problems and solving LeetCode. Learning from their experience they though to simply the process and come up with AlgoMonster.
It is structured in such a way that you learn 20% of things which are 80% important. Instead of solving 100 coding questions you learn patterns behind them which can also be used to solve any unknown question.
The site is also very interactive and allows you to practice coding online. It also have many quizzes and test to check your knowledge and some of them are even free.
Though for full benefit of AlgoMonster, I recommend you to take the paid plan which is also very affordable with over $6 per month on annual plan. The lifetime membership also just cost $190 which is amazing and everybody can afford it.
Here is the link to join AlgoMonster — 77% discount on AlgoMonster
2. Data Structures and Algorithms: Deep Dive Using Java
This is one of the most comprehensive courses on data structure and algorithms using Java.
It provides an excellent and straightforward guide to implement the most up-to-date algorithms from scratch: arrays, linked lists, graph algorithms, and sorting, etc.
You will also learn about binary trees, balanced trees like AVL trees and Red-black trees, heaps including heapsort algorithm, and associative arrays and dictionaries.
If you are a Java developer and looking for an excellent data structure and algorithm course, then you should join this. It’s comprehensive, but at the same time, both exciting and challenging.
Here is the link to sign up for this course — Data Structures and Algorithms: Deep Dive Using Java
3. Master the Coding Interview: Data Structures + Algorithms [ZTM]
This is probably the best coding interview course for programmers and developers. Though no programming language is required, if you don’t know JavaScript, the author, Andrei Neagoie still makes it easy to understand.
In this course, you will learn how to Analysis algorithms like searching, sorting, and other algorithms.
You will also learn how to reduce the code complexity from one Big-O level to another level, an important skill to impress the interviewer. Furthermore, you will learn different types of Data Structure and how to choose the right data structure to solve a problem.
Remember, a carefully chose data structure can drastically improve the CPU and Memory profile of an application. For example, using a set to solve duplicate elements problem make it a lot easier. You will also learn how to find Big-O for every data structure.
By the end, you will be able to write code that runs faster and use low memory. You also will learn how to analyze problems using Dynamic programming, one technique many programmers forgot to prepare.
Here is the link to learn more about this course — Master the Coding Interview: Data Structures + Algorithms
Btw, you would need a ZTM membership to watch this course which costs around $39 per month but also provides access to many super engaging and useful courses like his Python Bootcamp course and his JavaScript Web Projects: 20 Projects to Build Your Portfolio course. You can also use my code FRIENDS10 to get a 10% discount on any subscription you choose.
While this is an ideal course for all levels of programmers, particularly JavaScript and Web developers. Btw, If you are looking for a good programming/coding interview course in Java, then you can also check Data Structures and Algorithms: Deep Dive Using Java by Tim Buchalaka. You can use it to start from scratch or just refresh your knowledge before going to an interview.
4. Grokking Coding Interview Patterns in Java (Educative.io)
This is another good interview refresher kind of course for anyone preparing for coding interviews. Unlike previous courses that focus on concrete problems, this course focus on underlying patterns.
Once you know the pattern, you can literally solve 10s of coding problems based upon that patter.
This means instead of solving hundreds of Leetcode coding problems. You can just master these 15 underlying patterns to interview questions, and you’ll be able to tackle anything you face in the interview.
Sliding Windows
Two Pointers
Fast and Slow Pointers
Merge Intervals,
Cyclic Sort,
Top K elements
This would save a lot of time and if you have a coding interview coming up next week, this is the course you should join.
Here is the link to learn more about this course — Grokking Coding Interview Patterns in Java
In general, all the courses which have “grokking” before them on Educative, are exceptionally well put together! These courses magically condense 3 years of CS in short bite-size courses and lectures (I have tried System Design, Object Oriented Design, and Coding patterns).
The Grokking courses are really great for preparing an interview and I recommend all three Grokking courses on Educative I mean this one, Grokking the System Design Interview and Grokking the Object-Oriented Design interview.
5. JavaScript Algorithms and Data Structures Masterclass (Udemy)
This is one of the best courses to learn Data Structures and Algorithms in JavaScript, and seriously, you won’t find a better course at such a ridiculous price.
I bought this course in just $10 on Udemy’s flash sales, which happens every month, and I am amazed by its quality. The reason I bought this course because of Colt Steele, he is one the best instructor in Udemy and his classes are just awesome.
Having attended his course The Web Developer Bootcamp, I was sure of the quality, and when I see he has covered Data Structure and Algorithms, I couldn’t resist myself from buying this course.
As Colt Steele mentioned, This course crams months of computer science and interview prep material into 20 hours of content, which has helped his bootcamp students ace interviews at big tech companies like Google, Tesla, Amazon, and Facebook.
Here is the link to learn more about this course — JavaScript Algorithms and Data Structures Masterclass
The course not only covers basic data structures like an array, linked list, and binary tree but also includes “advanced topics” like Heaps, Graphs, and Dijkstra’s Shortest Path Algorithm.
You will not only learn about data structure but also about how to analyze your code’s time and space complexity using Big O notation and techniques to reduce them by making space-time trade-off.
The course also covers the ins and outs of Recursion, a vital technique to solve many linked lists and binary tree-based questions. You will also learn techniques to solve difficult coding problems you might see first times. In short, one of the best courses to learn data structure and algorithms in JavaScript.
6. Learning Data Structure and Algorithms in Python from Scratch
This is the best data structure and algorithm course I have come across for Python developer.
It covers both basic and advanced data structure like Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms like QuickSort, MergeSort, and Insertion sort and Search algorithms like linear and binary search.
The course also covers some of the advanced algorithms like shortest path algorithms, Dijkstra’s algorithm, Bellman-Ford algorithm, Kruskal algorithm, spanning trees, etc.
On sorting algorithm, it covers basic ones like the bubble sort, selection sort, and insertion sort, along with quicksort and the merge sort. It also includes non-comparison based sorting algorithms like Counting sort and Radix sort.
All the code examples and problems are implemented using Python programming language so that you don’t have any difficulty in understanding how to apply them on your own.
Here is the link to learn more about this course — Algorithms and Data Structures in Python
7. The Last Algorithms Course You'll Need (Fronend Masters)
This beginner friendly DSA course taught by a Netflix engineer will not just go over how to use common algorithms, but how they are implemented and their running times.
You will leave this course with a deeper understanding of when and how you can apply these skills in your projects.
Gain a practical understanding of Big O time complexity.
Learn common data structures like Arrays, Lists, Queues, Trees, Heaps, Graphs, and Maps.
Implement searching and sorting algorithms from scratch including, BubbleSort, QuickSort, Linear/Binary Search, Depth/Breadth-First Search, and more!
Confidently use algorithms and data structures to have successful interviews.
Here is the link to learn more about this course —The Last Algorithms Course You'll Need
8. Data Structures and Algorithms Specialization (Coursera)
As the name suggests, this course is for beginners and takes you from 0 to 1. The course is delivered by a team of instructors with tons of experience at Google, Microsoft, and Flipkart.
In this course, you will play with 50 algorithmic puzzles on your smartphone to develop your algorithmic intuition!
You will apply algorithmic techniques (greedy algorithms, binary search, dynamic programming, etc.) and data structures (stacks, queues, trees, graphs, etc.) to solve 100 programming challenges that often appear at interviews at high-tech companies.
You will also get an instant feedback on whether your solution is correct or not.
Here is the link to learn more about this course —Data Structures and Algorithms Specialization
10. Grokking Dynamic Programming Patterns for Coding Interviews by DesignGuru
Dynamic programming is one of the toughest part of learning Data Structure and Algorithms and it also the reason why many programmer fail on their coding interview test.
I was also struggling with DP even though I had fair idea of it but when it coms to solve problem, I always get stuck and that’s when I landed upon this course. This one is created by DesignGurus.org the original creator of Grokking the System Design Interview course.
In this course, they will teach you 5 Dynamic programming patterns like knapsack which can be used to solve more than 35 DP Based coding problems.
Starting with recursive brute force ways you slowly learn advanced technique to break DP problem and solve them in parts and combine them later.
Another great thing about this course is that practice problems are well researched and chosen in such a way that it covers the popular Dynamic programming questions which have been asked in interviews, which makes it one of the best resources to learn DP.
Here is the link to join this course — Grokking Dynamic Programming Patterns for Coding Interviews
And, if you like these Grokking interview courses from DesignGuru, you can also get all of them for a big discount by purchasing their All course bundle. This bundle include their most popular Grokking courses like Grokking System Design Interview, OOP Design, Coding Patterns, as well Grokking Dynamic programming interview. You can also use code GURU to get 30% discount.
That’s all about some of the best courses to learn Data Structure and Algorithms in 2025. I have included courses for both Java and Python Programmers, but as I have said before, data structures and algorithms are language-independent topics.
Once you know how a particular data structure or algorithm works, you can implement it in any programming language of your choice.
Other DSA and System Design Resources you may like
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