With algorithms being one of the most common themes in coding interviews, having a firm grip on them can be the difference between being hired or not. After completing this comprehensive course, you’ll have an in-depth understanding of different algorithm types in C# and be equipped with a simple process for approaching complexity analysis.
As you progress, you’ll be exposed to the most important algorithms you’ll likely encounter in an interview. You’ll work through over 50 interactive coding challenges and review detailed solutions for each problem. You’ll be able to build up to the optimal solution for addressing those tough coding interview questions head-on.
With algorithms being one of the most common themes in coding interviews, having a firm grip on them can be the difference betwe...Show More
WHAT YOU'LL LEARN
Preparation for technical interviews at tech companies
An understanding of how to write fast and efficient code in C#
Working knowledge of fundamental algorithms using C#
The ability to assess the effectiveness of an algorithm
Familiarity with commonly used data structures
Preparation for technical interviews at tech companies
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Content
1.
Introduction
2 Lessons
Break down key algorithmic paradigms, asymptotic analysis, and common technical interview problems.
2.
Algorithmic Paradigms
4 Lessons
Solve challenges with brute force, greedy algorithms, divide and conquer, and dynamic programming approaches.
3.
Asymptotic Analysis
22 Lessons
Examine asymptotic analysis, Big O notation, and time complexity through practical examples and challenges.
4.
Sorting and Searching
24 Lessons
Break down complex ideas of sorting and searching algorithms through challenges and solutions.
5.
Graph Algorithms
20 Lessons
Solve problems in graph algorithms, including BFS, DFS, cycle detection, and graph transposition.
6.
Greedy Algorithms
12 Lessons
Follow the process of designing and implementing greedy algorithms to solve optimization challenges.
7.
Dynamic Programming
25 Lessons
Build on dynamic programming concepts with optimized algorithms for problems like Fibonacci, Knapsack, and Coin Change.
8.
Divide and Conquer
21 Lessons
Break down divide-and-conquer strategies, including binary search, GCD, and subarray problems.
9.
Conclusion
2 Lessons
Discover the logic behind efficient algorithms, their paradigms, and continuous improvement.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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