Best Data Structures and Algorithms Courses – Data structures and algorithms are at the heart of computer science. All other aspects of computer science and development are built on top of them. Companies like Google, Microsoft, and Facebook are looking for programmers that understand data structures and algorithms. If you’re looking for a new career or want to enhance your abilities, learning DSA might be advantageous. You don’t need to spend a lot of money on a college degree to learn how to code. Online courses come in helpful in this situation. They are an excellent source of information and serve as evidence of ability during interviews.
You’ve come to the best place if you want to learn about data structures and algorithms. We took care of everything for you. We combed the web for the highest-rated courses and hand-picked 10 of the finest to help you master the most in-demand skill right now.
Best Data Structures and Algorithms Courses
1. Stanford University’s Algorithms Specialization – Coursera
For significant work in practically every field of computer science, an understanding of the principles of algorithms and associated data structures is necessary. Stanford University offers this Coursera Algorithms specialization. Instead of jumping immediately into mathematical intricacies and low-level implementation, this course exposes learners to algorithms and focuses on conceptual understanding. It helps participants improve their programming and thinking abilities, preparing them to pursue serious software engineering, ace technical interviews, and learn more advanced algorithm subjects.
2. Python Data Structures -Coursera
This is one of the most popular online courses for learning Python Data Structure, with over 561,102 students registered. The University of Michigan also offers this course and is part of Coursera’s most popular Python for Everyone Specialization.
Charles Russell Severance teaches this course, and it has received a 4.9 rating on average from over 50K reviews, which is incredible. The following are the primary topics covered in this course.
· What are the different types of data structures, and how are they used?
· What is the best way to read and write data from files?
· How to use Python dictionaries to store data as key/value pairs
· How to use tuples to do multi-step activities like sorting and looping
This course will teach you to use the Python programming language’s basic data structures. You’ll also learn to do more complicated data analysis using Python’s built-in data structures, such as lists, dictionaries, and tuples.
3. Structures of Python Data – Cousera
The University of Michigan designed and produced this course, and you can find this course on Coursera. Python Data Structures is a six-week mixed-level course covering a wide range of subjects.
The course will start with an overview of Python’s basic data structures. Following that, you’ll study the following topics:
This is the second of five Python for Everyone courses offered by Coursera. You’ll master how to execute sophisticated data analysis using the indicated data structures. This course may be taken as part of a specialty or as a stand-alone learning opportunity.
4. CS50’s Introduction to Computer Science
CS50x is a Harvard University course that exposes majors and non-majors to the academic disciplines of computer science and the art of programming, with or without previous programming expertise. David J. Malan’s CS50x is an introductory computer science course that teaches students:
· How to solve issues rapidly by thinking algorithmically
· Structures of data
· Management of resources
· Web development and software engineering
5. Algorithms and Data Structures in Python – Udemy
On Udemy, there is yet another hands-on course to master Data Structure in Python. This enormous course, created by Holczer Balazs, has over 160 lectures and over 14.5 hours of information; it is one of the most thorough courses for learning key data structures and algorithms in Python. This course teaches you how to build the most up-to-date algorithms from the ground up, including arrays, linked lists, graph algorithms, and sorting.
The course is broken into two parts: the first covers fundamental data structures such as linked lists, stacks, queues, binary search trees, heaps, and advanced data structures such as AVL trees and red-black trees; the second covers advanced data structures such as AVL trees and red-black trees. The second section delves further into topics such as graph algorithms, including spanning trees, shortest route methods, and graph traversal.
The instructor first discusses the theoretical foundation of each method or data structure in each chapter, then develops the code in Python step by step. This routine is excellent for beginners since it teaches both theory and practice.
6. Data Structures Concepts & Singly Linked List Implementation – Udemy
Beginners will benefit from this free Udemy course. The lesson’s goal is to teach you how to grasp fundamental data structures. You’ll be introduced to Queue, Linked List, and Stack. The C programming language is used to teach each of these concepts.
This course covers the following topics in addition to teaching you how to use these data structures:
· How do I put linked operations into practice?
· What are the best ways to view various data structures?
· How to use singly-linked lists in your code
The majority of students who enroll in this free online course have recently learned to program and want to expand their knowledge. Because this is an introductory course, you will obtain vital information to improve your data structure abilities. This class has roughly 30 separate lectures. Each one is concise and straightforward to understand. This also implies that even if you have a few minutes at a time, you can finish a lesson.
7. Data Structures for Coding Interviews in Python – Educative
This is an engaging text-based course for learning Python algorithms for coding interviews. Data structures are one of the most basic computer science topics. A computer program’s data structure may make or break the program. As a result, they are often referred to as a crucial benchmark of computer science knowledge for industry interviews.
This course gives a comprehensive overview of all famous data structures and implementation-level features in Python to help readers become well-versed in the language.
8. Data Structures Fundamentals – edX
This free online middle course, designed by U San Diego and given by edX, focuses on employing data structures in computational reasoning. In programming languages like C++, Java, and Python, you’ll learn to construct data structures. Over 40,000 individuals have taken this course.
You’ll also learn how to do the following:
· Make use of dynamic arrays.
· Hashing is a technique that may be used in a variety of ways.
· Maintain the equilibrium of a binary search tree
9. The Coding Interview Bootcamp: Algorithms + Data Structures – Udemy
The first job interview is one of the most stressful experiences for programmers. These interviews often feature difficult questions concerning data structures and algorithms. This is where this course comes into play.
This Udemy video-based course is a starting course that will teach you how to answer typical interview questions. This encompasses the following topics:
· Reversals of strings
· Reversals of integers
· chunking arrays
This online data structures and algorithms course also discusses anagrams and maximum characters. You’ll also learn how to solve systems design difficulties using simple tactics. The teacher has included several pictures and a wide variety of algorithm problems for you to ponder to enhance your understanding.
10. Foundations of Data Structures -edX
edX has an intermediate course available. It’s part of edX’s Xseries on Computer Science Fundamentals, including several other courses.
The lecture starts with an overview of the many sorts of data. However, as time goes on, you’ll learn more advanced subjects, such as how to arrange and maintain efficient data structures.