7 Best Courses to learn Data Structure and Algorithms
These are the best courses to learn Data Structure and Algorithms for both Interviews and to become a better software engineer
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The best thing about them is that they never get out-of-date, and any investment you made in terms of time and money will pay rich dividends for a long time.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 a better programmer 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 your 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. That time I didn’t know what is the real 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 linked list was a sure-shot question to appear in the exam, and just mugging the answer was enough to score well. It may be possible that you might have better learning 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 found 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 then the past generation was.
7 Best Data Structures and Algorithms Courses for Programmers
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 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.
Here is the link to sign up for this course — Data Structures and Algorithms: Deep Dive Using Java
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.
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.
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
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.
Here is the link to learn more about this course — Algorithms and Data Structures in Python
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.
Here is the link to learn more about this course —From 0 to 1: Data Structures & Algorithms in Java
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
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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 the Coding Interview: Patterns for Coding Questions
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.
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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.
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Thanks for reading this article so far. If you like these data structure and algorithm courses, then please share them 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 courses and books to learn Data Structure and Algorithms, then you can also check out this list of free Data Structure courses and books on Medium.
My favorite free courses & certifications to learn data structures and algorithms in depth
A curated list of some of the best, free online courses to learn Data Structure and Algorithms for programmers.