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This course is a detailed guide for data structures and algorithms with specific applications in the Go programming language.
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Here is what you will Learn from Data Structures & Algorithms In Go
1. Getting Started
- Who Should Take this Course and Why?
 
2. Time Complexity
- Introduction and Asymptotic Analysis
 - Big-O, Omega and Theta Notations
 - Complexity Analysis of Algorithms
 - Time Complexity Order
 - Quiz
 
3. Arrays
- Challenge: Sum Array
 - Solution Review: Sum Array
 - Challenge: Sequential Search
 - Solution Review: Sequential Search
 - Challenge: Binary Search
 
4. Recursive Functions
- Recursive Functions
 - Challenge: Factorial
 - Solution Review: Factorial
 - Challenge: Print Base 16 Integers
 
5. Approaches to Solve Algorithm Design Problems
- Introduction and Constraints
 - Idea Generation
 - Complexities, Coding, and Testing
 - Example and Summary