Data Structure and Algorithm knowledge is essential for computer science and software engineering. This is because, data structures help manage data, and algorithms help solve problems and challenges. Hence, data structure and algorithms courses are the best-selling courses online.
As a beginner, you can watch online videos and tutorials to learn about data structures and algorithms. Choosing the best data structure and algorithms courses online can be confusing with the multiple options and resources available. In this article, I am reviewing the 10 best data structure and algorithms courses on Udemy, which I have picked based on my experience with these platforms.
Why Pursue a Data Structures and Algorithms Course on Udemy?
Udemy is one of the leading online learning platforms, that provides affordable and accessible education. It has multiple courses and offers a range of Data Structures and Algorithms courses for different skill levels. Also, Udemy has a user-friendly interface and allows students to learn at their own pace.
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1. Mastering Data Structures & Algorithms using C and C++
‘Mastering Data Structures & Algorithms using C and C++ course’ is ideal for students who have a foundational understanding of programming, So, you can enroll in this course to learn data structures and algorithms using C and C++. The total duration of the course is 53 hours and instructors will guide you through topics like recursion and graph algorithms.
Who would benefit most from taking this course?
This course might be ideal for students who have prior knowledge of data structures. So, whether you’re just getting started and want to learn everything from recursion to graph algorithms, or if you already know something and want to deepen your understanding and gain practical skills, this course is for you.
What do I like in the course?
- A comprehensive 53-hour course in C and C++ for Data Structures and Algorithms.
- Whiteboard explanations enhance problem-solving and analytical skills.
- Covers essential topics: recursion, arrays, linked lists, trees, and hashing.
What could have been better?
- Minimal coding exercises or projects throughout the course.
- Requires more assessments or checkpoints to track progress during the extensive 53-hour duration of the course.
2. The Complete Data Structures and Algorithms Course in Java
“Complete Data Structures and Algorithms Course in Java” course teaches you algorithm run-time analysis using Big O notation to arrays, linked lists, etc. Besides these, you will also learn:
- Stack and queue data structures
- Binary trees
- Binary search trees
- Heaps, and AVL trees
- Tree data structures
- Searching and sorting algorithms
- Recursion
- Dynamic programming
- Hashing, and graph algorithms
Who would benefit most from taking this course?
Students looking to land a job at companies such as Google, Microsoft, Facebook, Netflix, or Amazon, can pursue this course. Besides this, you can also pursue this course, if you are looking to crack any interview involving knowledge in Java.
What do I like in the course?
- The course’s comprehensive coverage, spanning algorithm runtime analysis, various data structures, and essential algorithms, aligns well with the requirements of tech companies.
- The instructor’s personal experience in both interviewee and interviewer roles contributes to a genuine and effective learning environment.
What could have been better?
- There are minimal additional coding exercises or projects throughout the course.
- No clear elaboration on networking strategies with real-world examples or case studies.
3. Python for Data Structures, Algorithms, and Interviews!
The ‘Python for Data Structures, Algorithms, and Interviews course’ deals with basic to intermediate Python skills, and covers multiple topics critical for success in the software technology domain. Furthermore, it provides practical guidance through mock interviews to improve your interview readiness and prepare you for technical job roles.
Who would benefit most from taking this course?
Students who have a basic idea of Python programming can enroll in this course. Also, if you’re looking to clear coding interviews and enhance your knowledge of Data Structures and Algorithms, you can consider it.
What do I like in the course?
- The comprehensive curriculum covers resume building to algorithm analysis.
- Emphasis on practical applications, including LinkedIn and GitHub profiles.
- Coverage of non-technical interview aspects like salary negotiation.
What could have been better?
- There is no integration of introductory Python content to streamline the learning path for beginners.
- Insufficient supplementary materials like recommended readings or additional resources.
4. Data Structures and Algorithms: Deep Dive Using Java
Java programmers looking to learn Java Development Kit (JDK) can consider this course. This course, emphasizes implementation over theory and teaches learners to apply data structures and algorithms effectively.
Who would benefit most from taking this course?
This course is useful if students want to understand data structures and algorithms beyond theoretical concepts for interviews. Because of its emphasis on advanced data structures and algorithms, students will be able to apply data structures and algorithms in practice.
What do I like in the course?
- This course teaches arrays, linked lists, trees, hashtables, and various advanced algorithms.
- The in-depth examination of what’s available in the Java Development Kit (JDK) sets this course apart, offering insights into Java’s internal workings.
What could have been better?
- Needed more introductory materials, such as quizzes or coding challenges within lectures.
- Very few real-world projects or case studies.
5. Master the Coding Interview: Big Tech (FAANG) Interviews
‘Master the Coding Interview: Big Tech (FAANG) Interviews course’ prioritizes practical approaches, lessons, and exercises for answering coding questions, emphasizing comprehension rather than memorization, therefore I have included this course in my list of top data structures and algorithms courses on Udemy. The course claims to help those aspiring to get into big MNCs. It is a good resource to prepare for the interviews, but you need to refer to more resources.
Who would benefit most from taking this course?
If you’re seeking employment at tech firms like Google, Microsoft, Meta, Amazon, etc. this course is ideal for you. So, if you’re gearing up for technical interviews, especially those focused on coding, the practical strategies, lessons, and exercises offered in this course will greatly assist you in your preparation.
What do I like in the course?
- Proven success stories of graduates securing positions at major tech companies like Google, Tesla, Amazon, Apple, IBM, and Meta, validate the course’s effectiveness.
- Practical strategies over memorization, offering learners a problem-solving framework to approach any interview question effectively.
What could have been better?
- Need more sections to incorporate sections on non-technical skills, like interview communication, might leave gaps in preparation.
6. Data Structures and OOP with C++: CS104, CS105 Masterclass
This course focuses on data structures and object-oriented programming (OOP) with C++. By the end of this course, you will have a strong understanding of data structures, and OOP principles, and become proficient in using C++ to create high-performing programs.
Who would benefit most from taking this course?
If you’re studying computer science or a related field, this course can provide you with concepts such as data structures and OOP, all while mastering the adaptable C++ language.
What do I like in the course?
- Data structures and Object-Oriented Programming (OOP) concepts comprehensively for a well-rounded learning experience.
- This course provides practical insights into optimizing code for performance, aligning with industry practices, and preparing for efficient programming.
What could have been better?
- Increasing interactive elements, such as coding exercises, quizzes, or challenges, could enhance engagement and reinforce understanding.
- Adding resources or references for further exploration, such as recommended readings or external tutorials, would be better.
7. Java Data Structures and Algorithms Masterclass
Students looking to learn Data Structures and Algorithms in Java can consider this 45-hour course. The course prioritizes problem-solving by integrating real-world applications and guides through the implementation of data structures and algorithms.
Who would benefit most from taking this course?
Students from software development, or computer science looking to learn data structures and algorithms can enroll in this course. It will also prepare you for technical interviews for tech firms such as Apple, Amazon, Google, and Microsoft.
What do I like in the course?
- Interview-focused content featuring 100+ questions from major tech companies, enhancing preparation for real-world coding interviews.
- The course covers important topics and helps in problem-solving.
What could have been better?
- Breaking down the course into more crisp modules or sections could enhance the learning experience.
- While the course covers a broad range of problems, introducing a more diverse set of scenarios or industry-specific problems could provide learners with a broader perspective on applying these concepts in different contexts.
8. Python Data Structures & Algorithms + LEETCODE Exercises
The ‘Python Data Structures & Algorithms + LEETCODE Exercises course’ explains how to use data structures and algorithms with Python. The course contains over 100 videos and uses animations to simplify complex concepts, hence it is one of the best-selling data structures and algorithms courses on Udemy.
Who would benefit most from taking this course?
This course provides a systematic approach, visual animations, and hands-on coding exercises. So it is ideal for understanding data structures and algorithms and valuable insights to help you advance in your studies or career.
What do I like in the course?
- Engaging visual animations, utilizing animated HD videos for data structures and algorithms to simplify complex concepts and enhance the learning journey.
- This course has multiple coding exercises, supporting theoretical concepts, and helps prepare for real-world scenarios or coding interviews.
What could have been better?
- This course needs to provide more knowledge of algorithms.
- It needs to incorporate practical projects that integrate multiple data structures and algorithms.
- The course could use more interactive elements such as exercises and coding templates.
9. Algorithms and Data Structures in Python (Interview Q&A)
The ‘Algorithms and Data Structures in Python (Interview Q&A) course’ covers both basic and advanced topics in data structures and algorithms with Python. I have included this course in my list of best data structures and algorithms courses on Udemy because it focuses on the applications part. It explains the programming environment, the distinction between data structures and abstract data types, basic structures like arrays, linked lists, stacks, and queues, binary search trees, balanced binary trees, priority queues, and heaps. The course covers the following concepts in detail:
- Graph algorithms
- Substring search techniques
- Hamiltonian cycles
- Sorting algorithms
- Algorithm analysis
Who would benefit most from taking this course?
This course provides a solid understanding of data structures and algorithms. Also, professionals seeking to improve their coding abilities, particularly if they’re gearing up for technical interviews can enroll in this course.
What do I like in the course?
- Theoretical knowledge with numerous coding exercises, allows immediate application and helps in a deeper understanding of practical skills.
- Clear explanations of data structures and algorithms, complemented by visual animations that simplify intricate topics, contribute to effective learning.
What could have been better?
- Need more clear explanations of the theoretical concepts.
10. Introduction to Data Structures & Algorithms in Java
The course covers a basic understanding, covers basic structures such as arrays, linked lists, stacks, queues, trees, heaps, sorting methods, etc. It is one of the top data structures and algorithms courses on Udemy. The instructor explains difficult concepts with animations and an engaging teaching style.
Who would benefit most from taking this course?
This course is well-suited for individuals who are seeking comprehensive knowledge of data structures and algorithms using the Java programming language.
What do I like in the course?
- Comprehensive coverage, provides a clear understanding of fundamental data structures (arrays, linked lists, trees) and diverse algorithms (sorting, searching, hashing), ensuring a well-rounded understanding of key concepts.
- Assessment of knowledge with quizzes and assignments, offering opportunities for learners to test understanding and actively apply learned concepts.
What could have been better?
- The course doesn’t have hands-on coding exercises or projects.
- Required more to demonstrate data structures and algorithms that are applied in real-world projects or scenarios could diminish practical understanding among learners.
Can you recommend a data structure and algorithm course that can help me with the interviews?
Yes, in this article only I have mentioned a few best-selling data structures and algorithms courses that focus on interview preparation. The courses are-
1. Python for Data Structures, Algorithms, and Interviews!
2. Master the Coding Interview: Big Tech (FAANG) Interviews
3. Algorithms and Data Structures in Python (Interview Q&A)
Which course is best for data structures and algorithms?
There are various courses in Udemy for learners concerning Data Structure and Algorithms. Learners with experience can enroll in courses like “Mastering Data Structures & Algorithms using C and C++” or “Data Structures and Algorithms: Deep Dive Using Java”. However, if you are looking to learn for interviews, courses like “Python for Data Structures, Algorithms, and Interviews!” might be ideal.
Can I learn DSA for free In Udemy?
DSA courses in Udemy, require a fee, which starts around USD 50. But, learners can enroll now to get a maximum of 90% off. So, this is a great way to start your DSA journey, and as you gain knowledge, you can proceed to more advanced courses depending on your preferences.
Does DSA require maths?
Learning DSA requires a basic knowledge of mathematical operations. This includes arithmetic, algebra, and basic geometry. However, students willing to understand at an advanced level need a deeper understanding of discrete mathematics and probability theory.
Is Data Structure and Algorithm difficult to learn?
Students looking at Data Structures and Algorithms for the first time without experience can find it challenging. But, if you are interested in gaining skills, the journey will be interesting. For beginners, the instructors formulate the curriculum to make the concepts easier to understand.
What are LEETCODE Exercises?
LEETCODE exercises are like practice problems for sharpening your coding skills. They cover topics like algorithms, data structures, and problem-solving techniques. Each exercise presents a problem, and your job is to write code to solve it. It’s a fun and effective way to learn and improve your coding skills regardless of your experience.
What are Hamiltonian cycles?
In Algorithms and Data Structures, Hamiltonian cycles are special paths in a graph. They visit each point exactly once and return to the starting point. It’s like taking a trip and visiting every spot on your map once before going back home. Finding these cycles is like solving a fun puzzle.
How can I easily learn learn Java Development Kit (JDK)?
Learning the Java Development Kit (JDK) is easy! Just download and install it, then find beginner tutorials or courses online. Practice writing simple programs like “Hello, World!” to master the basics and gradually move towards complex topics.
Why C and C++ are important for Data Structures & Algorithms?
C and C++ are important for learning data structures and algorithms because they’re the building blocks of many computer programs. They give you control over how your code works and are commonly used to teach classic algorithms and data structures. So, if you want to understand how things work behind the scenes in computer science, C and C++ are where it’s at.