Top Online Courses to Learn Data Structures and Algorithms

Top Online Courses to Learn Data Structures and Algorithms

5 mins read2.5K Views Comment
Updated on Aug 2, 2021 09:59 IST

For every professional programmer, data structures and algorithms (DSA) are the two most fundamental areas to master. The more efficient you are in data structures and algorithms, the better you can evaluate the efficiency of an algorithm, make your code scalable, and effectively utilize memory. If you want to learn algorithms and data structure and are looking for online courses to start your journey, then here are some of the best data structures and algorithm courses.

2020_05_2167870_21e8.jpg

In this article, we have included courses for data structures and algorithms in Java, Python, C, and C++ so that you understand the implementation better in different programming languages. Before we dive into the top data structures and algorithms courses, let’s take a look at why these skills are important.

Importance of mastering Data Structures & Algorithms:

Data Structures and Algorithms are the building blocks to design and develop an efficient software application. Data structures store objects and allow their manipulation, and they can be –

  • Linear – arrays, stacks, linked lists, or queues
  • Nonlinear – trees, graphs, tables, or sets

On the other hand, algorithms help define clear steps and conceptualizing solutions in terms of distinct steps in a process. Data Structures and Algorithms alter the system by providing accessibility of data and increasing the product’s efficiency. They also aid in analyzing the time and space performance of algorithms.

Why should programmers learn data structure and algorithms? Well… The difference between average and great programmers is often due to knowledge of data structure and algorithms. Whether you are beginning your programming journey – or going back to explore the fundamentals, mastering DSA would make a world of difference.

In this article, we have put together a list of the best data structures and algorithms courses to help you master these topics. These online courses will provide you sound understanding and learning of the subject. These courses will also help you crack interviews in the software engineering and data science fields. Here is the curated list of data structure and algorithms courses:

Recommended online courses

Best-suited Data Structures and Algorithms courses for you

Learn Data Structures and Algorithms with these high-rated online courses

– / –
4 months
– / –
16 weeks
Free
– / –
– / –
– / –
– / –
6 months
– / –
150 hours
– / –
4 months
– / –
8 weeks
– / –
12 weeks
β‚Ή4.24 K
6 weeks

List of Data Structures and Algorithms Courses

1. Data Structures and Algorithms: Deep Dive Using Java on Udemy

Level: Intermediate | Duration: 16 hours

Description: This course is designed for developers with basic knowledge of Java or other programming languages, who are looking to understand data structures and algorithms deeply. It includes detailed topics of data structure such as arrays, linked lists, trees, sort algorithms, hash tables, and others.

Also explore:

Popular Python Courses Top JavaScript Courses
Popular Java Courses Top Frontend Development Courses

2. Implementing and Understanding Data Structures in Java on Pluralsight

Level: Intermediate | Duration: 3 hours

Description: You will learn how to implement and understand data structures in Java. Also, this course covers building core data structures used in software development by utilizing the core Java programming language.

Also Read: Top Java Interview Questions and Answers

3. The Coding Interview Bootcamp: Algorithms + Data Structures on Udemy

Level: Intermediate | Duration: 13 hours

Description: With this video course, you will get acquainted with the most common interview questions asked in a coding interview. This course will offer you a variety of questions to practice on and will also help you understand the tricks behind solving each question. It will prepare you to ace your upcoming interview.

4. Object-Oriented Java Programming: Data Structures and Beyond Specialization on Coursera

Level: Intermediate | Duration: 7 months

Description:  With this 5-course specialization, you will learn object-oriented programming principles for using Java and implementing data structures and algorithms for organizing large amounts of data. Major topics covered in this specialization are Object Oriented Programming in Java, Data Structures and Performance, Advanced Data Structures in Java, Mastering the Software Engineering Interview, and Analyzing (Social) Network Data.

5. Working with Graph Algorithms in Python on Pluralsight

Level: Beginner  | Duration: 2 hours

Description: In this course, you will get to explore different kinds of graph algorithms, their use cases, and implementation. You will get an understanding of these principles and develop the necessary skills to implement them into simple, easy-to-follow Python codes.

Also Read: Top Python Interview Questions and Answers

6. Data Structures and Performance on Coursera

Level: Intermediate  | Duration: 42 hours

Description: This course is designed for candidates with experience in software development or a background in computer science. You will learn how to use and analyze data structures in industry-level applications, and how these data structures make programs more efficient and flexible.

7. Mastering Data Structures & Algorithms using C and C++ on Udemy

Level: Intermediate  | Duration: 58 hours

Description: Learn more about data structures in detail and improve your problem solving and analytical skills so that it helps you solve challenging problems and use Data Structure efficiently. It covers various topics like C and C++ concepts, recursion, array ADT, strings, matrices, linked list, queues, trees, and binary search trees.

Also Read: Top Java Interview Questions and Answers

8. Object-Oriented Data Structures in C++ on Coursera

Level: Intermediate  | Duration: 21 hours

Description: With this course, you will learn the use of data structure in C++ and the ways to implement data structures as C++ classes. The major topics covered in this course include writing a C++ program, understanding the C++ memory model, and engineering C++ software solutions.

9. Master the Coding Interview: Data Structures + Algorithms on Udemy

Level: Beginner | Duration: 19 hours

Description: In this course, you will learn how to master the coding interview and grab offers from your dream company.  You will also learn how to implement and use different DSA.

Also Read: Top Java Interview Questions and Answers

10. Using Advanced Data Structures in Modern Applications on Pluralsight

Level: Advanced | Duration: 4 hours

Description:  Learn about a variety of such data structures that are incredibly useful but normally outside the scope of introductory courses in programming or algorithms, using advanced data structures in modern applications. One of the highlights of this course is that it offers a variety of examples and focuses on practicality rather than formulas and proofs.

11. Ordered Data Structures on Coursera

Level: Intermediate | Duration: 19 hours

Description: In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. The data structures covered in this course include arrays, linked lists, queues, stacks, trees, binary trees, heaps, and more.

12. Data Structures & Algorithms by Udacity

Level: Intermediate | Duration: 4 months (efforts: 10 hours per week)

Description: This course will teach you DSA through practice problems. Each course will begin by offering you to solve defined problems related to a particular data structure and algorithm. On completion of this course, you will be able to evaluate and assess different data structures and algorithms.

We hope these online courses on data structures and algorithms will help you enhance your technical expertise and proficiency and level up in your career. Good luck with your programming journey!

————————————————————————————————————–

About the Author

This is a collection of insightful articles from domain experts in the fields of Cloud Computing, DevOps, AWS, Data Science, Machine Learning, AI, and Natural Language Processing. The range of topics caters to upski... Read Full Bio