Data structures are some of the most important things to learn in the Java programming language. It is the basic building blocks in Java, from which complex ideas and applications can be designed. I have designed this course for those who want to learn java data structures online .
These are the best online courses to learn Data Structure and Algorithms in Java, which contains both free and paid courses.
This article will introduce you to arrays and linked lists, two different data structures. It will also give you an introduction to lambdas and higher-order functions, which can both be used on collections of elements in Java 8. Finally, it will show you another way of accessing a collection that is not often used but still available in Java 8: forEach loops.
Hello guys, In the past, I have shared a lot of useful resources like books and tutorials to learn Data Structure and Algorithms for both beginners and experienced programmers. I have also shared a lot of Data Structure and Algorithmic interview questions like this and their solutions in Java.
Still, I have got continuously queries about the best online courses to learn Data Structure and Algorithms in Java.
Some of them also requested for free algorithms courses instead of paid ones while others are happy with the excellent course regardless of whether it’s free or paid.
To fulfill my promise, I did some more research and bring with me a new list of Data Structure and Algorithms courses in Java, which contains both free and paid courses.
Some of the courses like Deep Dive into Java is common from my previous list, obviously because it is one of the best paths to learn algorithms and data structure in Java. But, the list also contains some new courses like Data Structures and Algorithms Bootcamp.
This time, I have focused more on finding courses which teaches essential data structure in a fun and exciting way, rather than picking the courses which cover a large number of data structure and algorithms but didn’t do justice with that.
Another reason I have included more than a few courses is that not everybody connects to the instructor I like. Everybody is different, and they should only join the course where they can connect to the instructor, I mean they like the voice, the style of explanation, and the content itself.
If you join a course where the instructor is both knowledgable and enthusiastic and also have excellent teaching skill, you obviously learn more and retain that knowledge for a long time. That’s the goal of this article to come up with online training courses and certifications, which provides value for both your time and money.
10 Data Structure and Algorithms Courses, Classes, Tutorials, and Certifications
Without wasting any more of your time, here is my list of some of the best online training courses to learn Data Structure and Algorithms for Java Programmers.
I have taken care to choose the course where examples are given in Java, except the last one, which is a book with Python examples, Sorry I couldn’t resist telling you guys about the Grokking Algorithm book, which I admire a lot.
This is my go-to course to any Java programmers who wants to learn data structure and algorithms. This is a comprehensive course, and it not only covers basic data structures like an array, linked list, binary search tree, stack, queue, hash table, but also advanced data structure like heap and algorithms like counting sort, radix sort and other constant time sorting algorithms.
It also covers Big O notation, which is quite important to explain to you a solution during a coding interview. This is a paid course but doesn’t worry about the price of $200, you can get it very cheap on various Udemy sales at just $10, almost 90% saving.
Here is the linked to join this course — Data Structures and Algorithms: Deep Dive Using Java
This is an excellent course to learn Data Structure and Algorithms on Udemy. The author is a former Google Software Engineer and he has a strong knowledge of data structure and algorithms.
The course is also full of visual diagrams and useful animations, which are crucial to understanding how data structure and algorithms work.
More than 23000 students have already benefitted from this free course, and if you want to kick-start your Data Structure journey, there is no better online course than this one.
Here is the linked to join this course — Easy to Advanced Data Structures
This is another fantastic course on Algorithms by William Fiset, the instructor of the previous class. This course actually complements his last course because it covers advanced Data Structure like Graph, which is often ignored by programmers.
If you know, the graph can represent anything related to each other like cities connected with roads, router connected with cables, and even Facebook users connected with friends.
The course covers essential Graph algorithms like Breadth-first search algorithms, depth-first search algorithms, Dijkstra’s algorithms, the shortest/longest path on an acyclic graph, Travelling salesman Problems (TSP) and many more.
Here is the linked to join this course —Graph Theory Algorithms
The goal of this course to teach you to apply graph theory in a real-world situation. Since the graph can be used for many common real-world problems, knowing graph theory helps to visualize the problem better.
The most significant advantage of graph algorithms is that it can represent relations like how two persons are related. You may not know, but many social networking websites like Facebook, Twitter uses graph algorithms to find your friends, colleagues, and other people you may know.
This is a perfect course for anyone preparing for coding interviews and want to brush-up their data structure and algorithms skills.
In this course, you will not only learn about fundamental data structure like an array, linked list, hash table, binary tree, heaps and sorting algorithms but also learn about the whole coding interview process and how to solve those commonly asked coding interview questions.
Here is the linked to join this course —Data Structures and Algorithms Bootcamp
This is an excellent beginner-level course to learn data structure and algorithms. In this course, you will not only learn the core data structures and algorithms used in everyday applications but also understand trade-offs involved with choosing each data structure, along with traversal, retrieval, and update algorithms.
This is a two-part course where the first part covers linked lists, stacks, queues, binary trees, and hash tables, and the second part includes data sorting, string searching, sets, AVL trees, and concurrency issues.
Here is the linked to join this course — Data Structure part 1 and 2
By the way, You need a Pluralsight membership to access this course, which costs around $29/month or $299/year, but if you want to explore, you can also check it for free by signing up for their 10-day free trial.
This is one of the most popular online course on Data Structures and Algorithms, not just in Coursera but also on other learning portals.
If you have read Algorithms 4th Edition, one of the better books on Data Structures for Java developers, then you will be surprised to know that this course is based upon that book, and instructors are also the author of the books.
This is a two-part course where the first part covers elementary data structures, sorting, and searching algorithms. The course is free, and 100% online, which means you can learn from your own schedule.
Here is the linked to join this course —Algorithms, Part I
This is the second part of the Algorithms course offered by Princeton University and served by Kevin Wayne and Robert Sedgewick, professors of Computer Science.
In the first part, you learn about elementary data structure, sorting, and searching algorithms while in this part, you will learn n graph- and string-processing algorithms.
It requires approx 32 hours to complete, and the course is available in both English and Korean. The weekly homework is also impressive and helps you to retain the knowledge you learn.
Here is the linked to join this course —Algorithms, Part II
This is one of the best course specializations on Data Structure and Algorithms for Java Programmers. If you know a Coursera specialization is a combination of related courses to build skills and also provides a certificate once you complete all courses and do the required project.
There are 5 Courses in this specialization, which will not only teach you data structure but also how to master your software engineering interviews.
Here is the list of courses included in this specialization:
1. Object-Oriented Programming in Java
2. Data Structure and Performance
3. Advanced-Data Structures in Java
4. Mastering the Software Engineering Interview
5. Capstone: Analyzing (Social) Network Data
Here is the linked to join this course — Object-Oriented Java Programming: Data Structures and Beyond Specialization
If you want to learn Data Structure and Algorithms in Java and want to prepare for interviews, this could be a valuable resource for you.
And, if you find Coursera courses useful, which they are because they are created by reputed companies like Google, IBM, Amazon, and best universities around the world, I suggest you join the Coursera Plus, an annual subscription plan from Coursera.
This single subscription gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth of your money as you get unlimited certificates.
This is an excellent refresher course on Educative to learn typical data structure and algorithms for Java programmers. All code examples are presented in Java, which makes it easy to learn and understand.
If you are preparing for coding interviews, then you can check this course to refresh your Data Structure and Algorithms skills.
Here is the linked to join this course —Data Structures in Java: An Interview Refresher
This is not an online course but a book that I admire a lot. It’s one of the best books on Data Structure and Algorithms, which I have read in recent times. It’s not a comprehensive book like CLRS or Introduction to Algorithms by Thomas H. Cormen, but it’s much more comfortable and enjoyable to read than that.
It doesn’t cover all the data structures and algorithms, but whatever it covers, it covers them well. It’s full of the visual diagram, which makes learning more engaging and helps to understand key concepts better.
Here is the linked to buying this book — Grokking Algorithms
Overall, simply, the best Algorithms book for any beginner and highly recommend to anyone who wants to learn Algorithms. There is only one thing which you may not like about it is that the examples are in Python than Java, but the theory is superb and for that alone it deserves mention here.
This is another great course to learn Data Structure and Algorithms in Java and it’s from LinkedIn Learning, an education site from LinkedIn which contains useful courses to learn latest tech.
In this course, instructor Raghavendra Dixit walks through how to use Java to write code to implement data structures and algorithms. After explaining why it’s advantageous to study these topics, he goes over the analysis of algorithms and discusses arrays — a data structure found in most programming languages
Here are the main skills you will learn in this course:
- How to calculate time and space complexity of algorithms
- Data Structure like an array and LinkedIn
The course also covers how to implement linked lists in Java, and covers stacks, queues, recursion, binary search trees, heaps, and more.
Btw, you would need a Linkedin learning membership to watch this course which costs around $18 per month if you take an annual plan. Alternatively, you can also watch this course for free using their 1-month free trial.
That’s all about some of the best courses to learn Data Structures and Algorithms in Java. As I have said, the list contains both free and paid courses and you can choose the one you like. Whatever course you choose, be honest with that and do all the exercises they suggest.
If you want, you can practice more by solving standard Data Structure and Algorithms problems from interviews as well. You can see this list of 100+ Data Structure and Algorithms problems to start with.
Thanks for reading this article so far. If you like these Java Data structures and Algorithms courses, then please share it with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. — If you are looking for some Free Algorithms courses to improve your understanding of Data Structure and Algorithms, then you should also check these list of free Data Structure and Algorithms courses which are entirely free of cost
Hello guys, both Data Structures and Algorithms are one of the most essential topics for programmers and if you want to learn Data Structure and Algorithms in 2022 then you have come to the right place. The best thing about them is that they never get out-of-date, and any investment you made in terms of time and money will pay rich dividends for a long time. I have also found that people good at algorithms and data structures are often better programmers than others. They tend to improve your programming skill and coding sense, and that’s the main reason I suggest all kinds of programmers, from junior to senior to spend some time revising, refreshing, and honing their data structure and algorithm skills.
Most of us first heard about them in school and colleges but didn’t understand at that time. At least I can say that to me. I first heard about the array and linked list of my engineering college. At that time I didn’t know what is the use of an array and linked list because most of the questions we face were based on theoretical knowledge without any practical application.
For example, the difference between an array and a linked list was a sure-shot one to appear in the exam, and just mugging the answer was enough to score well. It may be possible that you might have better learned them myself in your college and school, but that’s a general pattern.
I first realize the real use of array when I was writing games for mobile devices in my first company. I was tasked to write a board game, and then I found that I can use a two-dimensional array as a board and just store 1 or 0 to indicate whether a particular place is occupied or not.
That was my first real-world experience with a data structure and how they play roles in real-world applications. I know it came quite late, and I was lucky to find my way without knowing much about data structure, algorithms, and programming in general, but that was the ting of the past.
Nowadays, the environment has become very competitive, and you just can’t afford to miss these critical concepts. You also need to be more proactive with your learning than the past generation was.
5 Data Structures and Algorithms Courses for Programmers in 2022
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. Any, here are the best courses to learn Data Structure and Algorithms in 2022
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.
I bought this course for just $10 on Udemy’s flash sales, which happens every month, and I am amazed by its quality. The reason I bought this course is because of Colt Steele, he is one the best instructor on 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 buying this course.
As Colt 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.
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 a space-time trade-off.
This is the best data structure and algorithm course I have come across for Python developers.
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.
Being a Java developer, I am a little bit biased to include more data structure and algorithm courses than any other language.
This one is another impressive course to learn data structure and algorithms which I have attended and found suitable. In this course, you will learn about the core data structures and algorithms used in everyday applications.
You will learn about the trade-offs involved with choosing each data structure, along with traversal, retrieval, and update algorithms.
This is part 1 of a two-part series of courses covering algorithms and data structures. In the second part of the course, you will learn linked lists, stacks, queues, binary trees, and hash tables. I suggest you go through both pieces to understand both basic and advanced data structures.
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.
The best thing about the course is that it’s an animated, visual, and spatial way to learn data structures and algorithms, which many beginners will find both interesting and more comfortable.
I have seen many programmers struggle to pick topics like recursion, data structure, and algorithms because they can’t visualize what’s happening; this course help to solve that problem by using technology and creativity.
If you are a beginner and having a hard time understanding data structure, algorithms, and recursion, then this is the perfect course for you.
That’s all about some of the best courses to learn Data Structure and Algorithms in 2022. 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.