Course Overview
Ready to take your coding skills to the next level? This course is designed to deepen your understanding of algorithms and data structures, essential knowledge for every developer and computer scientist.
In this course, you will:
Master Core Data Structures: Learn about advanced data structures like trees, graphs, and hash tables, and how to implement them efficiently.
Algorithm Optimization: Understand algorithmic complexity and learn how to optimize code for better performance.
Sorting and Searching Algorithms: Dive into advanced sorting algorithms like QuickSort, MergeSort, and HeapSort, and understand their real-world applications.
Graph Algorithms: Learn graph traversal techniques such as BFS and DFS, and solve complex problems like shortest path algorithms (Dijkstra's, A*).
Dynamic Programming: Master dynamic programming techniques to solve complex problems with optimized time and space complexity.
Big-O Notation: Get comfortable with analyzing algorithm performance and making choices based on time and space complexity.
Hands-On Projects: Apply what you've learned through real-world coding challenges and projects, ensuring you gain practical skills.
What you will learn
Advanced Sorting and Searching Algorithms
Graph Algorithms for network and pathfinding problems
Dynamic Programming for optimizing complex problems
Tree and Binary Search Tree (BST) Operations
Hashing Techniques and Data Structures
FINAL PROJECT: Implementation of an advanced data structure system for solving real-world problems.
Course Curriculum
48
Lessons
(
19 hours
)
Course Review
Everett
Advanced Algorithms and Data Structures was intense but incredibly rewarding. The instructor broke down complex topics like segment trees and graph algorithms with clarity. The real-world coding challenges really sharpened my skills. Highly recommended for serious programmers.
Lucian
This course took my understanding of algorithms to a new level. Concepts like dynamic programming and amortized analysis finally made sense. I appreciated the balance between theory and practical implementation. Definitely worth the time investment." Would you like more reviews or different names for another topic?
