Here's how you can start learning Algorithms as a beginner using online resources.

The best way to learn new concepts is by practicing. Rather than spending lots of time on online courses, focus primarily on solving problems on platforms like GeeksforGeeks, CodeChef, InterviewBit, and LeetCode. Choose a topic, understand the basics, and start solving questions.

Start with introductory materials to understand the fundamentals of algorithms. Websites like Khan Academy, Coursera, and edX offer beginner-friendly courses on algorithms and data structures.

Start with understanding what algorithms are, their purpose, and applications. Grasp basic concepts like complexity, which measures an algorithm’s performance as input size scales, and familiarize yourself with Big O notation to evaluate efficiency. Utilize online resources such as Coursera, Khan Academy, and freeCodeCamp to learn at your own pace. Building a strong foundation in these basics is crucial for tackling more complex algorithmic challenges later on.

An algorithm is a detailed and documented process for achieving a specific result. If a programmer is systematic and likes following processes, they will likely excel with algorithms. Cooking has always relied on step-by-step procedures. To make a recipe, you need to follow it precisely, adjusting for environmental variables like temperature and process order to ensure success. Anyone who has made puff pastry knows the ambient temperature is crucial to prevent the butter from melting during dough folding. Ensuring good air conditioning or refrigerating the dough between folds illustrates how an good algorithm works in practice.

Clarity on basic concepts is of utmost importance. Once it’s clear to you, you have better grasp on designing solution to the problems. You can start with pseudocode and then change to it final running code.

Enroll in online courses dedicated to algorithms and data structures. Platforms like Coursera, Udemy, and Codecademy offer comprehensive courses taught by industry experts.

Online courses are important as they give you an idea about the problem where algorithms can be used. Once you go through them, you can easily identify the algorithm usage examples and also get to know about each algorithm pros and cons

Practice solving algorithmic problems on coding platforms like LeetCode, HackerRank, and Geeksforgeeks. These platforms offer a wide range of problems categorized by difficulty level, allowing you to gradually improve your skills.

Hands-on practice is essential when learning algorithms. Use coding platforms like GeeksforGeeks, CodeChef, and LeetCode to write, test, and debug algorithms. Start with simple problems and gradually tackle more challenging ones. This approach will improve both your understanding of algorithms and your coding skills. Regular practice helps internalize algorithmic thinking, making it easier to solve new problems. Combining structured learning with practical problem-solving is key to mastering algorithms.

Practice coding is one of the most important thing to do. Without practice you will never know the actual performance of algorithm. It also motivates you to try different different ways and to experiment with a piece of code. It’s like an art. Once you know it deeply you are able to design efficient algorithms also.

Use leetcode or any platform. There is a curated list of problems covering all important topics, blind75(search blind75 in google) Understand each topic and the pattern behind each problem rather than just try to solve the problem. First try to solve the problems yourself, make yourself explore for solutions for sometime, then if you couldn’t find , then refer the solution and understand it.

Study resources are easily available in today’s scenario. They give you information as well as what is going on in real world. The more information you have about algorithms and data structures, the more command you will have on your subject

Join forums is necessary because it keeps you updated about technologies and you will get different perspectives of different people. Sometimes you also find solutions here

Once comfortable with basic data structures and algorithms topics, progress to more advanced topics gradually. Begin building your own projects, like a to-do list app. You can implement this project using various data structures and algorithms 1. Identify which DS is better for keeping track of tasks. 2. How you can add, remove and mark a task as completed. 3. How can you prioritize and track due dates. 4. Identify how you can quickly find tasks by their titles or categories.

There's an important distinction to make between learning a programming language vs learning how to write algorithms. Because algorithms are all about logical thinking and storyline-style thinking, in the beginning stages, I would encourage using a simple programming language like Python to minimize the resistance / friction you'll face in the translation from Thoughts -> English -> Code, as they're all meaht to be just different ways of expressing the same idea / solution, just at different levels of rigor in terms of clarity of thinking. Build your algorithmic skills with a simpler language first, then pick up the syntax of lower-level / more complex languages like C / C++.