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Dynamic Programming Algorithms Master Course

Name: Dynamic Programming Algorithms Master Course
Brand: Udemy

August 19, 2024 Software Engineering, UdemyUdemy Coupon Code

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Dynamic Programming Algorithms Master Course

Ultimate Specialisation on Recursion, Backtracking and Dynamic Programming for Competitive Coding & Interviews.

Product Brand: Udemy

Editor's Rating:
4.5

Udemy Coupon Code for Dynamic Programming Algorithms Master Course. Ultimate Specialisation on Recursion, Backtracking and Dynamic Programming for Competitive Coding & Interviews.

Created by Coding Minutes, Prateek Narang, Apaar kamal | 44 hours on-demand video course

Dynamic Programming Course Overview

Dynamic Programming Algorithms Master Course
What you’ll learn
Top Dynamic Programming Courses Online for 2024
Who this course is for:
Recommended Course by Coding Minutes

Dynamic Programming Algorithms Master Course

Are you feeling brushed-up with data structures and algorithms but often feel stuck when it comes to DP! But no more, we are super happy to present the Dynamic Programming Specialisation Course for everyone, to help you master the important Dynamic Programming Concepts and level up for Competitive Coding & Interviews.

The Dynamic Programming Master Course is taught by Apaar Kamal, software engineer at Google & Master on Codeforces along with Prateek Narang, an ex-Google engineer and founder of Coding Minutes. This highly detailed & rigorous curriculum has been designed to ensure your success in online competitions where Dynamic Programming problems are very common these days.
Many top companies like Google, Facebook, Amazon, Directi, CodeNation, Goldman Sachs etc encourage Competitive Programming and conduct coding competitions to hire smart people who can solve problems.

Dynamic Programming is a popular algorithmic technique in computer programming that helps to efficiently solve a class of problems that have overlapping subproblems and optimal substructure property.

If any problem can be divided into subproblems, which in turn are divided into smaller subproblems, and if there are overlapping among these subproblems, then the solutions to these subproblems can be saved for future reference. In this way, algorithm can be improved, and lot of problems can be optimised using Dynamic Programming.

What you’ll learn

Identify what type of problems can be solved using DP
Come with recurrence for most DP Problems
Master the advance DP techniques
Face interviews and online challenges more confidently

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