AlgoMonster will help you crush the technical interview in less time and with fewer sleepless nights grinding away random problems. You will learn the key patterns necessary to solve almost any interview question and gain the systematic knowledge you need to prove your expertise. Be more confident as you walk into that interview!
Use AlgoMonster to learn the patterns. The internet has no short supply of problems, however like an unsolved puzzle it can be a daunting task to see the big picture and patterns. Luckily interviews are centered around a small set of patterns. These are repeated over and over. Learn these building blocks, you’ll be able to apply them to any problem.
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AlgoMonster was designed by a group of Google engineers who still remember the pain of grinding LeetCode when prepping for an interview. This is why we created a platform that allows you to progress in a structured way and return to the patterns you want to brush up on at any time with our lifetime access.
AlgoMonster focuses on both learning and practice. You get everything you need to excel at your technical interviews: a detailed introduction to the key coding patterns, examples and problems, presented in a highly visual and interactive environment.
Which algorithm is best for finding the shortest distance between two points in an unweight graph?
How many ways can you arrange the three letters A, B and C?
Anyone who has done Leetcode from scratch can understand the struggle to get started. Being presented with ~2000 coding problems can be daunting and overwhelming. Luckily almost all the problems can be condensed to a set of patterns, which are repeated over and over. All you need to learn are these building blocks, and be able to apply them to new problems. We have done the leg work of summarizing the patterns into an interactive course, so you can get up to speed as fast as possible. Think of it as it A* path-finding algorithm with AlgoMonster heuristics. Checkout the statistics we used to compile the patterns.
We have found videos to be suboptimal for learning algorithms because they are less interactive, and do not push you to think. And you really have to think when it comes to learning complex subjects like algorithms. Video is also difficult to glance through and jump around. It’s often useful to go back and forth over a new concept. Kind of like how it’s easier to read on a physical book than on a Kindle, it’s often easier to have all the information easily accessible. Also, watching videos loses the interactivity that is built into our notebook-style articles.
We recommend setting up a daily reminder. We can send you email every day with the Problem of the Day for practice and your progress. Form a positive loop where the satisfaction of solving a problem brings you back to practice and solve more problems. A short 30-minute daily practice can quickly add up.
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Tech interviews focus on a specific set of topics. Princeton’s algorithm course on Coursera places emphasis on complex academic topics, e.g. Prim’s Algorithm, Krushkal’s Algorithm for spanning trees, Bellman-Ford etc. These are very rarely, if ever, asked in coding interviews. It may be good intellectual practice, but usually it is not relevant.
Tech interviews often have a focus on bug free coding, whereas academic courses focus theoretical understanding and proofs. For each concept, we have detailed explanation plus an inline editor for you to test your solutions against our test cases.
If you complete the course and master all the patterns, you should be able to solve most of the problems on Leetcode and understand the discussion forums. Most importantly, you will be ready to interview for the tech role.
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