This course is designed to help you understand the fundamental concepts of algorithmic problems, focusing on recursion, backtracking, dynamic programming and divide and conquer approaches. It covers topics such as stack memory and heap memory, Fibonacci numbers, tower of Hanoi problem, linear search approach, Hoare's algorithm, quickselect algorithm, binary numbers, n-queens problem, knapsack problem, optimal packing, merge sort, substring search algorithms, common interview questions, and algorithms analysis. With this course, you will learn the theoretical background of these algorithms and implement them from scratch in Python. Join now and get started!

This course will teach you the art of dynamic programming. You will learn the in-depth theory behind dynamic programming, recursion and backtracking techniques, and a step by step approach to come up with dynamic programming solutions to a given problem from scratch. You will also learn how to apply the step by step approach for one-dimensional and multi-dimensional dynamic programming problems with detailed examples. Finally, you will learn how to analyze the time and space complexities of recursive solutions as well as dynamic programming solutions. Master the art of dynamic programming and become a coding interview expert!

Are you looking to ace coding interviews for the Tech Giants? This course is perfect for you! Learn how to approach Dynamic Programming problems and visualize elegant solutions. With varying difficulty levels, this course will help you understand, visualize and conceptualize the problem solving approach firmly. Get ready to tackle DP problems with C++ and Java codes, quizzes and coding assignments. Enroll now and master the art of solving DP problems!

Are you looking to level up your Dynamic Programming skills? Look no further! Apaar Kamal, software engineer at Google & Master on Codeforces, and Prateek Narang, an ex-Google engineer and founder of Coding Minutes, have designed a rigorous and highly detailed Dynamic Programming Master Course for 2022. This 40+ hour course covers the breadth and depth of dynamic programming, from recursion and backtracking to multi-dimensional DP, partition problems, combinatorics, strings, trees and graphs, game theory, and more. You'll also get full solved Atcoder Educational DP Contest as part of the course. With lifetime access and detailed video explanations, this course is the perfect way to master the important DP concepts and ace competitive coding and interviews. Don't miss out - join the course now and take your DP skills to the next level!