Here's how you can acquire the most in-demand skills in the algorithm industry as a beginner.

Start with fundamental concepts in computer science, such as data structures (arrays, linked lists, stacks, queues, trees, graphs, hash tables) and basic algorithms (sorting, searching, recursion). Understanding these core principles is essential as they form the building blocks for more advanced topics. Resources like online courses, textbooks, and coding platforms can help you get a solid grasp on these basics.

Get data structures and algorithms made easy by narasimha karumanchi and start reading. Prefer order it and have a copy so you can refer/refresh your knowledge any time Follow Recursion, linked list, stack queue two Pointer, sliding window, hashing, sorting, binary search, trees, bst, heap, graph basic (bfs, dfs), backtracking, greedy, dp, advanced graph, union disjoint set, bit manipulation.

A lot of people don't understand why learning the basics is more important than delving deep into complex concepts. The reason is that in IT interviews, candidates are often tested on their understanding of fundamental concepts. Many fail these interviews because they focus on practical projects rather than mastering the basics.

I think studying online courses is good but at the end of the day what companies expect from you is to develop a robust system on your own. For that, it primarily comes down to how many projects have you made that are solving problems for a group or some individuals in real life. That's what counts in interviews.

Enroll in online courses from reputable platforms like Coursera, edX, or Udacity. These courses often provide structured learning paths, hands-on projects, and access to expert instructors. Look for courses that cover algorithm design, analysis, and problem-solving techniques. Online courses can offer a flexible and comprehensive way to build your skills and stay updated with industry trends.

Regularly solve coding problems on platforms like LeetCode, HackerRank, or CodeSignal. Practicing coding challenges helps reinforce your understanding of algorithms and data structures, improves problem-solving skills, and prepares you for technical interviews. Aim to solve a variety of problems, from easy to hard, and consistently dedicate time to coding practice to steadily improve your proficiency.

Utilize a variety of study resources to deepen your knowledge. Read books like "Introduction to Algorithms" by Cormen et al., "Algorithms" by Sedgewick and Wayne, and "Cracking the Coding Interview" by Gayle Laakmann McDowell. Supplement your reading with tutorials, video lectures, and articles from reputable websites and blogs. Diverse resources can provide different perspectives and explanations, enhancing your understanding of complex topics.

Apply your skills by working on real-world projects. Start with small projects and gradually take on more complex ones. Building projects helps you understand how algorithms and data structures are used in practical applications, enhances your coding skills, and creates a portfolio to showcase to potential employers. Examples include developing web applications, creating game algorithms, or contributing to open-source projects. This hands-on experience is invaluable for solidifying your knowledge and demonstrating your capabilities.

Engage with programming communities such as Stack Overflow, Reddit, GitHub, or local meetups. Participating in these communities allows you to seek advice, share knowledge, and collaborate on projects. Networking with other learners and professionals can provide support, offer new insights, and keep you motivated. Being active in a community can also expose you to the latest industry trends and opportunities for further learning and career growth.