ENTIRE Algorithms Crash Course in 30 MINS! Best Explanation

In this Algorithms Crash Course, we break down the most important concepts in computer science—from fundamentals to advanced techniques—so you can learn fast and apply immediately. Whether you’re preparing for coding interviews, competitive programming, or university exams, this video is designed to give you the strong foundation you need.

What You’ll Learn in 30 Minutes:

Big O & Complexity Analysis – Learn how to measure algorithm efficiency in terms of time and space.
Sorting Algorithms – Bubble Sort, Insertion Sort, Merge Sort, Quick Sort, and Heap Sort explained step by step.
Searching Algorithms – Linear Search and Binary Search with practical use cases.
Graph Algorithms – Understand BFS, DFS, and Dijkstra’s algorithm for shortest paths.
Dynamic Programming Basics – How memoization and tabulation make problems like Fibonacci and Coin Change efficient.
Greedy Algorithms – Learn Activity Selection, Knapsack, Huffman Coding, and why greedy works for certain problems.
Divide & Conquer – Solve problems faster using recursion, Binary Search, and Merge Sort.

Who is this video for?

Students preparing for university exams

Developers brushing up on core CS concepts

Candidates preparing for coding interviews (FAANG, startups, or tech jobs)

Competitive programmers looking to improve speed & efficiency

Why Watch?
This is not just theory—we focus on real-world applications, coding interview relevance, and problem-solving patterns you’ll actually use. By the end, you’ll have a clear mental model of algorithms and be ready to tackle any problem confidently.

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