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!
The Road To Dynamic Programming: Java JavaScript & Python
4.2
Udemy23,643 learners
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This course is the perfect opportunity to learn about one of the most difficult topics in programming: dynamic programming. In this course, you will learn the basics of dynamic programming, two popular techniques (memoization and tabulation), and how to solve famous dynamic programming problems. You will also get to practice your skills with quizzes and coding exercises. With Java, JavaScript, and Python, you will be able to implement your code and make your dynamic programming experience more enjoyable. So, join this course and start your journey to mastering dynamic programming!
Dynamic Programming for Solving Problems
4.2
Udemy13,658 learners
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This course on 'Dynamic Programming for Solving Problems' is perfect for those who have just started programming and want to learn the approach of Dynamic Programming. It covers 8 different problems, from 0-1 Knapsack Problem to Range Sum Making Queries without updates, and teaches two ways of applying the paradigm of Dynamic Programming: Top down Approach and Bottom up Approach. With over 1 hour of video explanation, this course is the perfect way to learn the fundamentals of Dynamic Programming. So, don't wait any longer and start learning now!
Dynamic Programming Algorithms
4.7
Udemy9,125 learners
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This course, "Dynamic Programming Algorithms", is perfect for those who understand data structures and algorithms but struggle to solve dynamic programming problems. It provides a comprehensive understanding of critical Dynamic Programming concepts, empowering students to excel in competitive coding and interviews. Through detailed explanations, code implementations, and step-by-step walkthroughs, students will gain a deep understanding of each problem's solution. With 30 day money back guarantee, enrol now and learn the essential dynamic programming problems such as Fibonacci number, Climbing Stairs, House Robber, Decode Ways, Longest Common Subsequence, 0/1 Knapsack Problem, Target sum, Partion Equal Subset Sum, Count Number of Subsets, Coin Change, Coin Change ii, Word Break, and Regular Expression Matching.
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