Data Structures & Algorithms

Udemy is an online learning platform that has multiple Algorithm courses. Udemy’s Algorithm courses cover various topics such as Data structures, sorting and searching, divide and conquer, dynamic programming, graph Algorithms, etc.

Algorithms Courses

So, irrespective of the level of knowledge a student can improve their skills, with the Algorithm courses on Udemy. These courses have affordable pricing, lifetime access to course materials, and the comfort of self-paced learning.

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1. Advanced Algorithms and Programming Techniques

“Advanced Algorithms and Programming Techniques” covers basic and advanced programming techniques. This course also has a Dynamic Programming Technique, and there are two separate lectures for it. Also, multiple problems are included in the course, with clear explanations of C++ solutions.

  • Course Rating: 5/5
  • Duration: 4 Hours 29 Minutes
  • Benefits: 4.5 hours of on-demand video, 2 downloadable resources, Access on mobile and TV, Full lifetime access, and Certificate of completion.

Learning Outcomes

Algorithms and Programming TechniquesRecursion and its applications
Dynamic Programming TechniqueClear explanations in C++

2. Hill Climbing and Simulated Annealing AI Algorithms

Most artificial intelligence and data science tools teach using search algorithms and optimization strategies. On the contrary, this course teaches how Simulated Annealing and Hill Climbing operate. Also, you don’t need prior experience in artificial intelligence, machine learning, or data science for this course.

  • Course Rating: 5/5
  • Duration: 3 Hours 29 Minutes
  • Benefits: 3.5 hours of on-demand video, 2 articles, 15 downloadable resources, Access on mobile and TV, Certificate of completion

Learning Outcomes

Simulated Annealing algorithmSearch and Optimization in AI
Test functions for benchmarking optimization algorithmsHill Climbing algorithm

3. Byte-Sized-Chunks: Sorting and Searching Algorithms

“Byte-Sized-Chunks: Sorting and Searching Algorithms” is a course curated by a group of professionals with years of experience. So, graduates in computer science and engineering can take this course to learn data structures.

  • Course Rating: 4.9/5
  • Duration: 3 Hours 25 Minutes
  • Benefits: 3.5 hours of on-demand video, 22 downloadable resources, Access on mobile and TV, Full lifetime access, and Certificate of completion.

Learning Outcomes

Understanding the trade-offsUse cases for different types of sort and search algorithms
Developing software that uses sorting and searching algorithms

4. Mastering Critical Skills in Algorithms using C++: Part 1

“Mastering Critical Skills in Algorithms using C++: Part 1” includes an in-depth look at the inner workings of the algorithms and a study of their time and memory complexity. Also, this course covers line-by-line coding, and most importantly, the content is supported by both source code and slides. 

  • Course Rating: 4.9/5
  • Duration: 18 Hours 57 Minutes
  • Benefits: 19 hours of on-demand video, 3 articles, 72 downloadable resources, Access on mobile and TV, Certificate of completion

Learning Outcomes

Strong Programming skillsStep toward interview preparation
Mastering different skillsInner details of the algorithms

5. Mastering Critical Skills in Algorithms using C++: Part 2

“Mastering Critical Skills in Algorithms using C++: Part 2” adopts a unique method of parallelizing the concepts with the codes. It also allows the student to work on pseudocode first, rather than lengthy theory followed by coding. Also, it encourages learners to be specific and makes use of an easy, clear visualization. By the end of the course, you will have a clear understanding of C++ concepts related to algorithms.

  • Course Rating: 4.9/5
  • Duration: 15 Hours 4 Minutes
  • Benefits: 15 hours of on-demand video, 3 articles, 92 downloadable resources, Access on mobile and TV, and Certificate of completion.

Learning Outcomes

Analytical and Problem-Solving skillsClean coding for algorithms
Understanding of Algorithms topics in C++Gaining real skills

6. Data Structures A-Z: Data Structures + Algorithm Bootcamps

“Data Structures A-Z: Data Structures + Algorithm Bootcamps” is based on the expertise and teaching experience of a professor. This course is suitable for beginners and experienced as it is a comprehensive tutorial with the fundamentals of the language and an extensive reference to the data structures & methods.

  • Course Rating: 4.9/5
  • Duration: 7 Hours 44 Minutes
  • Benefits: 7.5 hours of on-demand video, 5 articles, 27 downloadable resources, Access on mobile and TV, Certificate of completion.

Learning Outcomes

Fundamentals of the Data Structures and AlgorithmsApplicability and Usability of Data Structures
Understanding popular algorithmsUnderstanding the concept behind data structures

7. Algorithms Data Structures in Java #2 (+Interview Questions)

“Algorithms Data Structures in Java #2 (+Interview Questions)” covers prefix trees such as data structures and are frequently used in current search engines. In this course, students will learn about the Z algorithm, the brute-force technique, and the Rabin-Karp method. Also, learners will know about the theoretical foundations and practical application of these algorithms.

  • Course Rating: 4.8/5
  • Duration: 12 Hours 56 Minutes
  • Benefits: 13 hours of on-demand video, 7 articles, 2 downloadable resources, Access on mobile and TV, Certificate of completion

Learning Outcomes

Detection of non-optimal code snippetsUnderstanding sorting algorithms
Understanding data compressionUnderstanding Strings and String Builders

8. Algorithms and Data Structures in Swift 5

This extensive course covers data structures, generics, built-in Swift collection types, the Big-O notation, time-based complexity, and algorithmic thinking. Additionally, it discusses several sorting algorithms and code optimization methods. The focus is on the practical application with realistic code samples for reference and practice. Most importantly, this course is more than simply an online course since it includes personalized help, an eBook companion, downloadable materials, and ongoing updates.

  • Course Rating: 4.8/5
  • Duration: 3 Hours 4 Minutes
  • Benefits: 3 hours of on-demand video, 1 coding exercise, Assignments, 11 articles, 2 downloadable resources, Access on mobile and TV, Closed captions, Audio description in existing audio, Certificate of completion.

Learning Outcomes

Working knowledge of algorithmic thinkingImproving the performance of existing code
Learn how to write elegant and efficient codeCut down on your development time

9. JavaScript Algorithms and Data Structures Masterclass

“JavaScript Algorithms and Data Structures Masterclass” begins with the fundamentals before moving on to the advanced materials. It begins by explaining how to use Big O notation to analyze the complexity of any code before going into detail about recursion. Also, this course covers 6 distinct sorting algorithms: Bubble, Selection, Insertion, Quick, Merge, and Radix Sort.

  • Course Rating: 4.7/5
  • Duration: 21 Hours 51 Minutes
  • Benefits: 21.5 hours of on-demand video, 85 coding exercises, 32 articles, 80 downloadable resources, Access on mobile and TV, Certificate of completion

Learning Outcomes

Implement 10+ data structures from scratchMaster dozens of popular algorithms
Improves problem-solving skillsLearn 6 sorting algorithms!

10. Mastering Data Structures & Algorithms using C and C++

“Mastering Data Structures & Algorithms using C and C++” discusses  every topic in detail. It is a 53+ hours course, which will help you develop problem-solving and analytical skills. Most importantly, each Data Structure is explained, examined, and put into practice via practical line-by-line coding.

  • Course Rating: 4.6/5
  • Duration: 58 Hours 33 Minutes
  • Benefits: 58.5 hours of on-demand video, 1 article, Access on mobile and TV, Certificate of completion, 270 downloadable resources

Learning Outcomes

Learn various Popular Data Structures and their AlgorithmsLearn Recursive Algorithms on Data Structures
Implementation of Data Structures using C and C++Learn about various Sorting Algorithms

11. Master the Coding Interview: Data Structures + Algorithms

“Master the Coding Interview: Data Structures + Algorithms” offers a comprehensive approach for tech professionals to prepare for job interviews. In this course, the non-technical aspects of interviewing, getting more interviews, handling offers, and salary negotiation are also covered. Moreover, it aims to equip you with the skills needed to excel in technical interviews. So, it’s suitable for engineers, developers, programmers, and self-taught individuals seeking to enhance their interviewing and coding skills.

  • Course Rating: 4.7/5
  • Duration: 19.5 hours
  • Benefits: 53 articles, 4 downloadable resources, 1 coding exercise, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

Ace coding interviews given by some of the top tech companiesBecome more confident and prepared for your next coding interview
Learn, implement, and use different Data StructuresLearn, implement, and use different Algorithms

12. Mastering Data Structures & Algorithms using C and C++

“Mastering Data Structures & Algorithms using C and C++” offers an in-depth exploration of data structures. In this course, each data structure is comprehensively covered on a whiteboard, enhancing problem-solving and analytical skills. The course covers recursion, array representation, linked lists, stacks, queues, trees, binary search trees, AVL trees, graphs, and hashing techniques.

  • Course Rating: 4.6/5
  • Duration: 58.5 hours
  • Benefits: 1 article, 270 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

Learn various Popular Data Structures and their Algorithms.Develop your Analytical skills in Data Structure and use them efficiently.
Learn Recursive Algorithms on Data StructuresLearn about various Sorting Algorithms
Implementation of Data Structures using C and C++

13. Python Data Structures & Algorithms + LEETCODE Exercises

“Python Data Structures & Algorithms + LEETCODE Exercises” offers an engaging and effective approach to learning data structures and algorithms by using animations. The course includes coding exercises and covers topics such as Big O notation, and various data structures like lists, linked lists, stacks, etc. Also, the instructor is highly responsive on the Q&A platform to provide support.

  • Course Rating: 4.7/5
  • Duration: 8.5 hours
  • Benefits: 3 articles, 125 downloadable resources, 104 coding exercises, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

104 Coding Exercises with Detailed ExplanationsEnhance Your Learning with Animated Examples of DSA
Gain Expertise in Data Structures and AlgorithmsAce Technical Interviews with Confidence

14. The Complete Data Structures and Algorithms Course in Python

The course on data structures and algorithms in Python is designed for learners who want to excel in coding interviews and master its fundamental concepts. The course guides you through basic algorithmic techniques, data structure strengths and weaknesses, and various sorting and searching algorithms. It also teaches more advanced topics like graphs, trees, hash tables, and dynamic programming.

  • Course Rating: 4.5/5
  • Duration: 44.5 hours
  • Benefits: 143 articles, 121 downloadable resources, 97 coding exercises, 1 practice test, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

Learn, implement, and use different Data StructuresLearn, implement, and use different Algorithms
Become a better developer by mastering computer science fundamentalsLearn everything you need to ace difficult coding interviews

15. Java Data Structures and Algorithms Masterclass

“Java Data Structures and Algorithms Masterclass” is designed to help learners excel in coding interviews and master these fundamental concepts. The course guides you through basic algorithmic techniques, data structure strengths and weaknesses, and various sorting and searching algorithms. It also teaches topics like graphs, trees, hash tables, and dynamic programming.

  • Course Rating: 4.5/5
  • Duration: 45.5 hours
  • Benefits: 76 articles, 99 downloadable resources, 65 coding exercises, Full lifetime access, Access on mobile and TV, Certificate of completion.

Learning Outcomes

Learn, implement, and use different Data StructuresLearn, implement, and use different Algorithms
Become a better developer by mastering computer science fundamentalsLearn everything you need to ace difficult coding interviews

16. Data Structures and Algorithms Bootcamp

“Data Structures and Algorithms Bootcamp” offers a fast track to mastering essential computer science concepts required for interviews. Also, it covers a range of topics, including arrays, linked lists, Big O notation, stacks, queues, hash tables, binary trees, dynamic programming, sorting algorithms, graphs, and more.

  • Course Rating: 4.6/5
  • Duration: 6.5 hours
  • Benefits: 12 articles, 2 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

How to answer commonly asked Silicon Valley-style interview questionsDemonstrate knowledge and mastery of data structures and algorithms
How to pass Silicon Valley-style technical interviewsInterview confidently
Land your dream job

17. C++ Data Structures & Algorithms + LEETCODE Exercises

This course offers a dynamic and visually engaging way to learn Data Structures and algorithms in C++. It has over 100 high-quality animated HD videos, and you’ll gain a deep understanding of these crucial concepts. The instructor has a unique animated approach that helps learners grasp complex concepts. Additionally, this course is suitable for C++ programmers preparing for interviews, university students studying data structures and algorithms, and self-taught programmers looking to enhance their skills.

  • Course Rating: 4.7/5
  • Duration: 7.5 hours
  • Benefits: 2 articles, 111 downloadable resources, 86 coding exercises, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

86 coding exercises with detailed explanationsLearn DSA faster with animated examples
Mastery of data structures and algorithmsConfidently answer technical interview questions
Time and Space complexity of data structures and algorithmsStrengthen your skills as a developer

18. Advanced Algorithms (Graph Algorithms) in Java

“Advanced Algorithms (Graph Algorithms) in Java” course focuses on graph algorithms and the applications. It covers topics like graph theory basics, traversal methods (BFS and DFS), topological ordering, etc. The course offers approximately 11 hours of content, including hands-on coding. So, it is suitable both for beginner and advanced learners.

  • Course Rating: 4.6/5
  • Duration: 12.5 hours
  • Benefits: 6 articles, 1 downloadable resource, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

Learn about the applications of data structuresLearn about the fundamental basics of graphs and graph theory
Implement advanced algorithms (graph algorithms) efficientlyLearn graph traversing such as breadth-first search and depth-first search

19. Data Structure & Algorithm using C++: Zero To Mastery 2024

This Data Structures and Algorithms Udemy Course is for learners who a deep understanding of key concepts. It offers hands-on experience, intuitive explanations, and over 60 hours of interactive content, with more than 200 quality problems and over 250 HD lectures. The curriculum covers a wide range of topics, from arrays and strings to graphs and dynamic programming. Hence, the course is well-suited for undergraduates looking to master data structures, developers seeking to enhance their problem-solving skills, and those preparing for programming interviews.

  • Course Rating: 4.5/5
  • Duration: 64.5 hours
  • Benefits: 1 article, 175 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applicationsLearn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets
Code an implementation of each data structure, so you understand how they work under the coversDevelop your Analytical skills on Data Structure and use them efficiently.

20. Graph Theory Algorithms

The Graph Theory Algorithms course on Udemy offers a comprehensive introduction to the fundamental principles of graph theory and their practical applications in computer science. The course is designed for anyone interested in learning  graph theory. It covers a wide range of topics, including graph representation, traversal algorithms like DFS and BFS, shortest path algorithms, topological sorting, cycle detection, and more.

  • Course Rating: 4.6/5
  • Duration: 9 hours
  • Benefits: Full lifetime access, Access on mobile and TV, Certificate of completion

Learning Outcomes

Storage and representation of graphs (networks) on a computerCommon graph theory problems
Various tree algorithms including the height of a tree, finding the center of a tree, rooting a tree, etc.

Best Udemy Algorithm Courses: FAQs

Ques. Which is the best algorithm course on Udemy?

Ans. The “Advanced Algorithms and Programming Techniques” course is the highest-rated and most popular course on Udemy with 5 stars out of 5. It has the following benefits: 4.5 hours of on-demand video, 2 downloadable resources, Access on mobile and TV, Full lifetime access, Certificate of completion.

Ques. Are Udemy algorithm courses worth it?

Ans. Yes, there are 242 courses to choose from on Udemy based on Algorithm. Most of the courses have the highest paid subscribers and have a rating above 4.6 out of 5.

Ques. Are there any courses on algorithms that are suitable for beginners?

Ans. Given below are some of the highest-rated algorithm courses for beginners on Udemy:

  • Hill Climbing and Simulated Annealing AI Algorithms
  • Data Structures and Algorithms
  • Algorithms Simplified
  • The Design and Analysis of Algorithm Masterclass (2024)

Ques. What is the top online algorithm course available through Udemy?

Ans.  “Mastering Data Structures & Algorithms using C and C++” is the best algorithm course on Udemy with a 4.6 rating out of 5 and a total of 1,50,000+ student enrollment.

Ques. How can I get free courses on Udemy?

Ans.  On Udemy, there are many free courses available for each subject. Google may be used to look up Udemy Free Courses.

Ques. What are the requirements for courses in algorithms?

Ans.  The basic requirements for each algorithm course are different. However, general knowledge of programming in C, C++, and JavaScript is a prerequisite for every algorithm course.

Ques. Can I look at the course materials before registering at Udemy?

Ans. Yes, every course’s details are given in brief including the course description, rating, benefits, tutor details, and price. You can look at any of these by clicking on a course of your choice.

Ques. Are algorithm courses eligible for certifications?

Ans. Yes, the enrolled students are given a certification of completion along with access to viewing the content on mobile and TV.

Ques. What will I learn in the algorithm design course?

Ans. In the Algorithm design course, students will learn several fundamental principles of algorithm design. Students learn the divide-and-conquer design paradigm, with applications to fast sorting, searching, and multiplication. Students also learn several blazingly fast primitives for computing on graphs, such as how to compute connectivity information and shortest paths.

Ques. How many days will it take to learn algorithms?

Ans. It usually takes around 5-6 months of dedicated learning to master algorithms.

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    • 4 weeks ago

    What is Dynamic Programming Technique?

      • 4 weeks ago

      Dynamic Programming Technique is a problem-solving method where complex problems are broken down into smaller, simpler subproblems. These subproblems are solved recursively, and their solutions are stored and reused to solve larger problems. It’s commonly used to solve optimization problems (like finding the most efficient route or sequence of decisions to achieve a specific goal).

    • 4 weeks ago

    How to easily understand algorithm topics in C++?

      • 4 weeks ago

      You can start by learning the basics of C++ programming (including syntax, data types, and control structures) to understand algorithm topics in C++. Then, you can explore fundamental algorithm concepts like sorting, searching, and data structures (such as arrays, linked lists, and trees). Finally, practice implementing algorithms in C++ by coding regularly and solving algorithmic problems.

    • 4 weeks ago

    What are the applicability and usability of Data Structures?

      • 4 weeks ago

      You can think of data structures as the building blocks of computer programs. They’re like different tools you use to organize and handle data effectively. It is used to store a list of items, manage records, or quickly find information. Also, from arrays to linked lists and beyond, they make it easier to work with data in all sorts of programs and algorithms.

    • 4 weeks ago

    How to learn Recursive Algorithms on Data Structures?

      • 4 weeks ago

      You can start with the basics of recursion, where a function calls itself to solve a problem to learn recursive algorithms on data structures. Then, focus on data structures (like trees, linked lists, or graphs), which are commonly used with recursive algorithms. Then, practice implementing recursive algorithms by solving problems step by step, breaking them down into smaller subproblems.

    • 4 weeks ago

    How to ace coding interviews?

      • 4 weeks ago

      When it comes to coding interviews, it’s all about practice and preparation! Firstly, ensure that you’ve got a solid grip on the basics of programming languages and data structures. Then, dive into solving coding problems regularly to sharpen those problem-solving skills. Get comfortable with common algorithms too. Lastly, when you’re in the interview, take your time to understand the problem and explain your approach clearly.

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