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What do you do if you're a beginner looking for the best online resources to learn algorithms?

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Embarking on the journey to understand algorithms can be daunting, especially if you're just starting out. Algorithms are the step-by-step procedures for calculations, data processing, and automated reasoning. They are the backbone of computer programming and problem-solving in the field of computer science. As a beginner, you might feel overwhelmed by the vast amount of resources available online. However, with the right guidance, you can navigate through the noise and find the best online resources that will help you learn algorithms effectively. Remember, the key is to start with the basics and gradually progress to more complex topics.

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Dive into online courses:

Platforms like Coursera and edX offer structured algorithms courses with interactive elements. Start with beginner-level classes and gradually tackle more advanced topics to build a solid foundation.### *Engage in discussion forums:Spend time on forums to ask questions and share insights with fellow learners. This collaborative environment accelerates your understanding and helps you solve problems more effectively.

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Projeet Ghosh

Generative AI @ EY
Prem Desai

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1 Online Courses

When you're starting out, online courses can be a fantastic way to learn algorithms. These courses often start with the fundamentals and slowly build up to more advanced concepts. Look for courses that include interactive elements like quizzes and coding exercises, as these will help reinforce your learning. Many platforms offer courses that range from beginner to advanced levels, so you can continue to grow your skills as you progress. Ensure that the course content is updated regularly to keep up with the latest developments in the field.

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Projeet Ghosh

Generative AI @ EY
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Today, YouTube stands out as the premier platform for accessing online courses. Countless creators offer incredible content on YouTube, all freely available. The range of content caters to learners at every level, from beginner to advanced; all it takes is a starting point. To stay abreast of current market demands, watch valuable podcasts covering topics such as software engineering and data science.

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2 Books and E-books

Books and e-books are time-honored resources for learning. They often provide comprehensive coverage of algorithmic concepts, from basic to advanced. When selecting books, aim for those that are well-reviewed and come highly recommended by professionals in the field. A good algorithm book will not only explain the theory but will also offer practical examples and exercises for you to work through. E-books might offer the added convenience of portability and often include interactive content that can enhance your learning experience.

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3 Video Tutorials

Video tutorials can be particularly helpful if you're a visual learner. Watching an expert explain and demonstrate algorithms can make complex topics more accessible. Try to find video series that cover a wide range of algorithmic topics and provide clear, step-by-step instructions. It's also beneficial if the videos include code walkthroughs, which can help you understand how to implement algorithms in practice. Remember to take notes and pause or replay sections that are difficult to grasp on the first watch.

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4 Coding Platforms

Coding platforms are an excellent way to practice algorithms through hands-on experience. These platforms often provide a vast array of problems that you can solve using algorithms. They also typically offer a community aspect where you can get feedback and see how others have approached the same problems. Practicing on coding platforms helps you understand how algorithms work in real-world scenarios and improves your problem-solving skills and coding proficiency.

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Projeet Ghosh

Generative AI @ EY
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The most widely used coding platform used for the last so many years is "LeetCode". It not only provides quality coding questions but also helps the user to think and optimize code solutions. There is a whole community today on this platform, helping each other out to become efficient coders.

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5 Discussion Forums

Discussion forums are invaluable for learning algorithms because they allow you to ask questions and share knowledge with a community of learners and experts. If you're stuck on a particular concept or problem, chances are someone else has encountered the same issue and can offer advice or a solution. Engage actively in these communities, ask questions, and contribute where you can. The collaborative learning environment in discussion forums can greatly accelerate your understanding of algorithms.

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Projeet Ghosh

Generative AI @ EY
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Almost every coding platform has a discussion section where people discuss solving problems, interview experiences, optimal solutions, roadmaps, etc. A beginner should make a habit of spending some time in the discussion section, by either contributing or consuming the knowledge.

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Prem Desai

5?? CODER ON CODECHEF. || COMPETITIVE PROGRAMMING || C++ || DSA || REACT JS || NODE JS || NEXT.JS || TYPESCRIPT.
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1. **Coursera**: Check out courses like "Algorithms Specialization" by Stanford University or "Algorithms, Part I & II" by Princeton University. 2. **edX**: Explore offerings such as "Algorithm Design and Analysis" by PennX or "Algorithmic Thinking" by UC San Diego. 3. **Codecademy**: Start with their "Algorithms" course to grasp fundamentals with hands-on exercises. 4. **YouTube**: Channels like "MIT OpenCourseWare" or "CS Dojo" offer free lectures and tutorials on algorithms. 5. **LeetCode**: Practice solving algorithmic problems and participate in coding challenges to strengthen your skills. 6. **GeeksforGeeks**: Utilize their extensive collection of articles, tutorials, and practice problems for algorithmic concepts.

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6 Project Work

Finally, applying what you've learned through project work is crucial for solidifying your understanding of algorithms. Start with small projects that incorporate basic algorithms and gradually take on more complex challenges. This practical application not only reinforces your learning but also builds your portfolio, which is important for your career in technology. As you work on projects, you'll encounter real-world problems that require algorithmic thinking, further enhancing your skills.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What do you do if you're a beginner looking for the best online resources to learn algorithms?

1

2

3

4

5

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1 Online Courses

2 Books and E-books

3 Video Tutorials

4 Coding Platforms

5 Discussion Forums

6 Project Work

7 Here’s what else to consider

Algorithms

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What do you do if you're a beginner looking for the best online resources to learn algorithms?

1

2

3

4

5

6

7

1 Online Courses

2 Books and E-books

3 Video Tutorials

4 Coding Platforms

5 Discussion Forums

6 Project Work

7 Here’s what else to consider

Algorithms

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