19 Best Channels to Learn Data Structures And Algorithms on Youtube

Whether you're just getting started with coding or you're a seasoned pro, everyone can benefit from learning more about data structures and algorithms. By understanding how these concepts work, you can write more efficient and reliable code. Plus, it's just plain interesting to see how things work under the hood.

GeeksforGeeks

Channel Views: ~53.4m Channel Subscribers: ~529k Channel Videos: ~2.1k

GeeksforGeeks Youtube Channel

GeeksforGeeks is a YouTube channel that offers learning resources for data structures, computer science, and information technology. They provide tutorials on learn programming, online coding course, and online courses for college life and Geeksforgeeks School. They also provide live courses & learn coding materials to help professionals and beginners alike to learn coding & deepen their knowledge.

Coding Ninjas

Channel Views: ~34.3m Channel Subscribers: ~333k Channel Videos: ~2.1k

Coding Ninjas Youtube Channel

The Coding Ninjas YouTube channel is a great resource for learning data structures and other software development topics. They have a variety of courses available, both paid and free, that cover everything from machine learning to web development. If you're looking for an online course to learn coding, this is a great place to start.

Caleb Curry

Channel Views: ~36.9m Channel Subscribers: ~484k Channel Videos: ~1.4k

Caleb Curry Youtube Channel

The Caleb Curry YouTube channel is a great place to learn about data structures and algorithms. Caleb is a software engineer with experience in Python and Java, and he does a great job of explaining concepts in a way that is easy to understand. If you're looking to learn more about coding, this is a great channel to check out.

SCALER

Channel Views: ~18.7m Channel Subscribers: ~108k Channel Videos: ~742

SCALER Youtube Channel

SCALER is a YouTube channel dedicated to helping aspiring programmers learn coding and become better software engineers. From learning data structures and solving coding interview problems to improving system design and tackling competitive programming, SCALER will provide you with the necessary tools and knowledge to become an elite programmer. Along with a comprehensive range of video tutorials, SCALER also offers the Scaler Academy, an online courses and programs for furthering your computer science and software engineering skills.

ForMyScholars

Channel Views: ~2.8m Channel Subscribers: ~47.3k Channel Videos: ~438

ForMyScholars Youtube Channel

The ForMyScholars YouTube channel is a great resource for those who are looking to learn programming and gain a better understanding of data structures using Java, Python and Android Tutorials. Hosted by Deepali Agarwal, the channel offers advanced Java and Python tutorials as well as tutorials on data structures using Java. Whether you're new to programming or looking to learn more advanced techniques, the ForMyScholars channel offers comprehensive and comprehensive tutorials to help you reach your goals.

Nerchuko

Channel Views: ~282k Channel Subscribers: ~5.6k Channel Videos: ~370

Nerchuko Youtube Channel

Nerchuko is a YouTube channel dedicated to teaching Telugu-speakers the fundamentals of computer science, from data structures and machine learning, to web development and natural language processing. It offers tutorials on various topics including C++, C programming, competitive programming, computer vision, numpy, and pandas. It offers viewers an engaging and appropriate introduction to the world of computer programming in Telugu.

Clément Mihailescu

Channel Views: ~60.4m Channel Subscribers: ~466k Channel Videos: ~234

Clément Mihailescu Youtube Channel

This channel is all about learning data structures and software engineering. Clément Mihailescu is a software engineer at Google and Facebook, and he knows a lot about coding interviews and preparing for them. He also has a side business teaching people how to code. If you're looking to learn more about coding or data structures, this is the channel for you.

Kevin Naughton Jr.

Channel Views: ~6.7m Channel Subscribers: ~89.9k Channel Videos: ~184

Kevin Naughton Jr. Youtube Channel

Kevin Naughton Jr.'s YouTube channel is full of great content for anyone who is looking to learn more about programming or improve their coding skills. He covers a wide range of topics, including data structures, competitive programming, and how to prepare for coding interviews. Whether you're a beginner or an experienced programmer, you're sure to find something useful on Kevin's channel.
So be sure to check out Kevin Naughton Jr.'s YouTube channel for all the latest and greatest programming content. And don't forget to subscribe while you're there!

Rachit Jain

Channel Views: ~9.3m Channel Subscribers: ~190k Channel Videos: ~170

Rachit Jain Youtube Channel

Rachit Jain's YouTube channel is all about helping people prepare for coding interviews at tech giants like Google and Microsoft. He covers various topics such as data structures and interview questions, and provides plenty of helpful tips and advice. However, he also doesn't shy away from discussing the less-than-glamorous aspects of IIT life, which makes his channel all the more relatable and down-to-earth.
So, if you're looking for some honest and helpful advice on how to prepare for coding interviews, then be sure to check out Rachit Jain's YouTube channel. You won't regret it!

App Millers

Channel Views: ~94.1k Channel Subscribers: ~1.7k Channel Videos: ~126

App Millers Youtube Channel

App Millers is a popular YouTube channel for mobile app developers, iPhone developers, and those interested in learning about mobile app development, iOS development, data structures, and Python. The channel provides tutorials, guidance, and advice from experienced application developers so viewers can learn from real-world professionals. App Millers is the perfect resource for anyone looking to learn the fundamentals of mobile app development and become a more knowledgeable and successful mobile app developer.

Engineering with Utsav

Channel Views: ~5.7m Channel Subscribers: ~118k Channel Videos: ~89

Engineering with Utsav Youtube Channel

The Engineering with Utsav YouTube channel is a great resource for learning about data structures, coding interviews, and software engineering careers. The videos are very well done and provide great information for those interested in a career in software engineering.
I encourage you to check out the Engineering with Utsav YouTube channel. The videos are very informative and can help you learn a lot.

Packt

Channel Views: ~13.8m Channel Subscribers: ~82.4k Channel Videos: ~10.5k

Packt Youtube Channel

Packt is a YouTube channel dedicated to technological learning, with a focus on programming, data structures, web and application development, game development, publishing, and computing. It offers tutorials and insights into the latest tech trends and tools, helping viewers stay ahead of the curve.

Simplilearn

Channel Views: ~224.5m Channel Subscribers: ~2.1m Channel Videos: ~4.2k

Simplilearn Youtube Channel

The Simplilearn YouTube channel is a great resource for those looking to learn more about data structures, cyber security, digital marketing, machine learning, data science, six sigma, artificial intelligence, business analyst, deep learning, social media marketing, and ethical hacking. The channel features a wide range of videos that cover all of these topics in detail, making it a great resource for anyone interested in any of these fields.

Telusko

Channel Views: ~198.9m Channel Subscribers: ~1.7m Channel Videos: ~1.5k

Telusko Youtube Channel

Telusko is a popular YouTube channel hosted by Navin Reddy that specializes in providing programming tutorials for beginners. It covers topics from data structures, Java and Kotlin, Spring MVC, AWS and Python. It provides video tutorials as well as hands on coding tutorials for those just starting out in programming. This channel is a great way for beginners to learn valuable programming skills quickly.

MySirG.com

Channel Views: ~83.9m Channel Subscribers: ~759k Channel Videos: ~1.2k

MySirG.com Youtube Channel

MySirG.com is a YouTube channel providing the best videos on learning C language in Hindi. They have tutorials and videos on data structures, c language, and c language by Saurabh Shukla Sir. It is the perfect place to learn the language and is a great resource for those looking to gain knowledge and improve their coding skills.

KN ACADEMY

Channel Views: ~846.8k Channel Subscribers: ~6.3k Channel Videos: ~980

KN ACADEMY Youtube Channel

KN Academy YouTube channel is dedicated to helping students of all levels understand the fundamentals of data science, data structures, data analysis, data analytics, statics for data science, machine learning, and recruitment processes. It offers comprehensive tutorials and tips to help viewers learn key concepts, build skills, and land great data science jobs.

ThinkX Academy

Channel Views: ~586.3k Channel Subscribers: ~8.9k Channel Videos: ~326

ThinkX Academy Youtube Channel

ThinkX Academy's YouTube channel provides viewers with a way to learn data structures, machine learning, computer science, artificial intelligence, python, java, c++, programming, engineering and microprocessors in an easy to follow format. Through the channel by their experienced instructors, viewers gain skills to kickstart their journey into tech.

Log2Base2

Channel Views: ~4m Channel Subscribers: ~27.2k Channel Videos: ~111

Log2Base2 Youtube Channel

Log2Base2 is a YouTube channel dedicated to teaching viewers about data structures and algorithms. They focus on helping users understand fundamental concepts such as binary search trees, heaps, and hash tables. Viewers can learn at their own pace using the tutorials and lectures created by Log2Base2 to become proficient in data structure and algorithm intricacies.

Udit Agarwal

Channel Views: ~381.8k Channel Subscribers: ~14.6k Channel Videos: ~51

Udit Agarwal Youtube Channel

Udit Agarwal's YouTube channel is an invaluable resource for software developers and engineers preparing for interviews. It offers comprehensive tutorials on data structures, low and high level system design, as well as various software development and engineering interview questions. He also provides useful tips and advice to help viewers optimize their interview preparation.

Unraveling the Basics of Data Structures

Data structures are the fundamental elements of the world of programming, yet for some new programmers it can be a subject that is fairly difficult to understand. However, with some basic knowledge and practice, data structures can be easily mastered. Unraveling the basics of data structures can help you take on more complex programming concepts as your expertise grows.

Data structures are basically ways in which data is organized and stored. All data stored in a computer is made up of types such as numbers, characters, and booleans, which can be organized by data structures like lists, stacks, trees, and sets. Each type of data structure comes with its own rules and methods for how to access and store its data. Knowing these rules and methods can make it easier to understand and manipulate data.

Though data structures may sound complicated, they can be easily understood if broken down one concept at a time. By familiarizing yourself with the different types of data structures, how they work, and the rules associated with them, you can become a more confident programmer. Plus, a good understanding of data structures can open the door to tackling larger programming projects and tasks. So it’s definitely worth taking the time to dive into the world of data structures.

Finding Ways to Simplify Data Structures Learning

Learning data structures can often seem like a daunting task, especially for those who are new to programming. However, there are many ways to simplify the learning process. By implementing the right strategies, anyone can pick up the fundamentals of data structures quickly and easily.

  1. One of the best strategies for learning data structures is to break the material up into smaller pieces. When you focus on learning one topic at a time, you can create a big-picture understanding of the entire data structure. Additionally, breaking up the material can help keep your focus on the key aspects of the data structure, rather than overwhelming yourself with unnecessary details.
  2. Another great strategy to simplify data structures learning is to create visual representations of the data structure. Using tools such as mind maps or flow charts can help organize your thoughts and clarify any lingering confusion. Additionally, many data structure textbooks have accompanying illustrations and diagrams which can help break down the material in a more digestible format. Having a visual representation of the data structure can go a long way when it comes to understanding complex concepts.

In conclusion, data structures learning doesn’t have to be a difficult task. By breaking up the material into smaller chunks and creating visual representations, anyone can quickly get to grips with the fundamentals of data structures. Implementing these strategies can make the learning process much simpler.

Identifying the Different Types of Data Structures

Data structures are an important concept to understand in order to develop efficient algorithms for problem solving. They are collections of data values, relationships amongst them and the functions or operations that can be applied to the data. Understanding the different types of data structures and their characteristics is essential for implementing code efficiently.

The four primary types of data structures are array, stack, queue, and linked list. Arrays are generally used to store data of a similar type in an ordered collection. Stacks are used as an intermediate data storage buffer and follow the Last-In-First-Out (LIFO) methodology. Queues are utilized when data need to be handled in the same order that they were received and operate in the First-In-First-Out (FIFO) order. Linked lists are chain-like data structures that contain varying-sized collections of data items linked together using pointers.

In addition to these primary data structures, there are many other variations of data structures such as trees, heaps, graphs and hash tables. Each of these have their own characteristics which provide specific advantages for certain applications. It is important for developers to understand the different types of data structures in order to identify which ones are best suited for their projects to ensure maximum efficiency. With this knowledge, developers will be able to choose the most appropriate data structure for their specific problem.

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