7 Resources to Learn Data Structures and Algorithms

There is no one best way to learn data structures and algorithms but there are good resources that can help one gain knowledge and practice of the same. Nowadays with a plethora of books, websites and courses, it is very easy to get access to information, unlike the olden times. These resources can help you gain knowledge and learn new skills. For approaching any data structures online course, all you need is basic knowledge of at least one programming language. Let’s take a look at some of the best courses online:

Online Courses to Learn Data Structures and Algorithms


Udacity’s Intro to Algorithms

This is a great free introduction course that is written in Python. Don’t get scared if you don’t know this language yet as the course progresses gradually, letting you understand and learn the language. The course offers a deep and practical understanding of algorithms which makes it credible. Moreover, Python is one of the most readable programming languages. You can also test your knowledge with quizzes.

Algorithms and Data Structures by edX

This is an amazing free resource from Microsoft that helps to grasp the fundamentals of algorithms and data structures. The course focuses on making you understand the how and when of data structures and algorithms.

What is great about this course is that it lets you create an app as a final project. Moreover, you have the option to purchase a verified certification upon the completion of the course.

Coursera’s Data Structures and Algorithms Specialization

This is one course that will help you master Data Structures and Algorithms. As it is a specialization course, it is paid and maybe a little more expensive than other comparable courses. But I guess £36 a month is not too much of a money when the learning is exceptional. Especially, when you take a 7-day free trial before that to see if you like the course. This course is made up of 6 courses that take you right from the introduction to the advanced level. It is a really exciting course that offers interesting problems and cool projects to work on.It is a comprehensive course that gets you a certification as well. You get to make a good impression on hiring companies by sharing this certification on your CV and LinkedIn.

Websites to Learn Data Structures and Algorithms


Envato Tuts+ has a great many numbers of “How to Tutorials” on different programming topics which also includes a series of posts titled ‘Data Structures Succinctly’. If you know Java, it will be great as the examples are in this language. These posts reveal the basic concepts of data structures and algorithms comprehensively. These offer only an introduction to Linked Lists, Binary Search Trees, and Sorting Algorithms.


Learning data structures and algorithms are just more fun with visuals. VisuAlgo.net offers interactive animations to help you understand how these abstract structures are formed, and how various algorithms work.

Without proper visuals, you might not understand data structures very well. Get to fully interact with the animations and see the code that is playing out. There’s more to the what this website can offer including quiz sections.

Books to Learn Data Structures and Algorithms

Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

Build a solid foundation with “Introductions to Algorithms” is a valuable book for any beginner. This book is accessible to programmers of all levels and covers everything in detail. The best part is that all the examples are written in plain English and pseudocode.

The Algorithm Design Manual by Steven S Skiena

Won’t it be great to have a manual for designing algorithms? This book is amazing and completely beginner-friendly. It is broken into two parts. The first part provides both practical advice and instructions for designing and analyzing algorithms. The second part is full of resources and reference catalog of typical algorithms. It gets all the more interesting with self-titled “war stories” that are practical experiences of real-world applications.

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