4.8
Intermediate
15h
Competitive Programming - Crack Your Coding Interview, C++
The ultimate guide to coding interviews. Developed by FAANG engineers. Boost problem-solving skills with number theory, dynamic programming, and graph theory. Get interview-ready in just a few hours.
Whether you’re gearing up for online coding challenges, code-a-thons, or interviews, then this course is for you. With this course, you will solidify your problem-solving skills ensuring a swift sail through any problem.
You will be tasked with solving some of the most frequently asked questions that are brought up in FAANG interviews. You will start with the concepts of Number Theory and Divide and Conquer, and gradually move towards more complex problems like dynamic programming and graph theory.
With each problem you solve, there will be insightful explanations and full implementation details to really hammer home the concepts. By the time you finish this course, you will have the confidence to solve any problem, no matter the difficulty.
Whether you’re gearing up for online coding challenges, code-a-thons, or interviews, then this course is for you. With this cour...Show More
WHAT YOU'LL LEARN
Learn about various Algorithms related to Number Theory
Implement Divide and Conquer and Greedy Algorithms
Learn how to solve Recursion and Backtracking problems
Understand the concept of Dynamic Programming by solving problems
Implement various Algorithms related to Graphs
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Learn about various Algorithms related to Number Theory
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Content
2.
Number Theory
10 Lessons
Get started with efficient algorithms for GCD, prime checking, factorization, and number theory applications.
3.
Divide and Conquer
4 Lessons
Break apart the concepts of Binary Search, element occurrence, and partition problems efficiently.
4.
Greedy Algorithms
7 Lessons
Apply your skills to solve optimization problems using greedy algorithms and their applications.
5.
Recursion and Backtracking
14 Lessons
Take a closer look at recursive and backtracking techniques through sorting and problem-solving tasks.
6.
Dynamic Programming
23 Lessons
Focus on using dynamic programming for solving optimization problems, from Fibonacci to knapsack.
7.
Graphs
13 Lessons
Build on graph concepts, representations, traversals, cycle detection, topological sorting, MSTs, and shortest paths.
8.
Bonus Lessons
4 Lessons
Learn how to use advanced techniques in bit-masking, segment trees, and unique number identification.
Certificate of Completion
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Course Author:
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