Grokking Algorithm Complexity and Big-O
Cracking Algorithms: Master Algorithm Analysis and Big-O
Level:
Beginner
Study Time:
5h
Lessons:
44
Playgrounds :
46
4.4
(1,885 ratings)
6,479 learners
Course Overview
Are you struggling to understand how algorithms work or why one solution is better than another? This course on algorithm analysis is designed for students, developers, and job seekers who need a clear path to mastering algorithm performance. Learn how to analyze time and space complexity, study recursive patterns, and apply your knowledge to real-world coding challenges.
By the end, you'll confidently choose the most efficient solutions, write optimized code, and excel in interviews and technical projects. Start now to build your expertise and set yourself apart in the world of software development and computer science. This course is for you!
Annual Subscription
Get instant access to all current and upcoming courses for one year.
OR
Lifetime Access - This Course
Get lifetime access to this course only.
Discounted Prices for Your Region
Certification on completing the course.
Gift for lifetime
Course Content
• 8 Chapters • 44 Lessons
3.
Asymptotic Notations
6 lessons
Overview of Asymptotic Analysis
Big-O Notation (O-notation)
Big-Omega Notation (Ω-notation)
Big-Theta Notation (Θ-notation)
Little-o and Little-omega Notations
Comparing Asymptotic Notations
4.
Time Complexity Analysis
8 lessons
Understanding Time Complexity
Analyzing Control Structures
Analyzing Simple Algorithms
Best, Worst, and Average Cases
Constant Time: O(1)
Linear Time: O(n)
Quadratic Time: O(n²)
Quiz
5.
Space Complexity Analysis
6 lessons
Understanding Space Complexity
Analyzing Space Complexity of Algorithms
Constant Space: O(1)
Linear Space: O(n)
Quadratic Space: O(n²)
Quiz
6.
Analyzing Recursive Algorithms
9 lessons
Introduction to Recursion
Recursion Tree Method
Recurrence Relation Method
Master Theorem Method
Space Complexity Analysis of Recursive Algorithm
Logarithmic Time and Space: O(log n)
Linearithmic Time: O(n log n)
Exponential Time and Space: O(2ⁿ)
Quiz
7.
Data Structures and Complexity Analysis
6 lessons
Array
Linked List
Hash Table and Set
Stack and Queue
Binary Search Tree
Quiz
8.
Practical Applications and Case Studies
5 lessons
Sorting Algorithms
Graph Algorithms
Dynamic Programming Algorithms
Coding Interview Problems
Trade-offs in Algorithm Design
Related Courses
Grokking the Coding Interview: Patterns for Coding Questions
Grokking the Coding Interview Patterns in Java, Python, JS, C++, C#, and Go. The most comprehensive course with 476 Lessons.
4.6
(69,299 learners)
Grokking Data Structures & Algorithms for Coding Interviews
Unlock Coding Interview Success: Dive Deep into Data Structures and Algorithms.
4
(26,683 learners)
What people say about our courses
Annual Subscription
Get instant access to all current and upcoming courses for one year.
OR
Lifetime Access - This Course
Get lifetime access to this course only.
Discounted Prices for Your Region
Certification on completing the course.
Gift for lifetime
One-Stop Portal For Tech Interviews.
Copyright © 2025 Design Gurus, LLC. All rights reserved.