Divide-and-Conquer Courses and Certifications

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

67 reviews

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algor…

• Coursera
• 15 hours 25 minutes
• On-Demand
• Paid Course

• Best of All Time

Algorithmic Toolbox

23 reviews

Master algorithmic techniques for efficient problem-solving: sorting, searching, divide-and-conquer, greedy algorithms, and dynamic programming. Gain practical skills in designing and implementing fast, effective solutions.

• Coursera
• 1 day 16 hours 3 minutes
• On-Demand
• Paid Course

Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms

7 reviews

Explore advanced data structures like AVL and 2-4 trees, and dive into sorting algorithms including iterative and divide-and-conquer methods. Gain practical skills in implementing and analyzing efficient algorithms.

• edX
• 5 weeks, 9-10 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Graduate Algorithms

1 review

Learn advanced techniques for designing algorithms and apply them to hard computational problems.

• Udacity
• 20 hours
• On-Demand
• Free Online Course

Microcredential

Algorithms

5985 ratings at Coursera

Comprehensive introduction to algorithms, covering key concepts and practical applications. Emphasizes conceptual understanding for technical interviews and professional discussions.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Algorithmic Thinking (Part 2)

9 reviews

Develop advanced algorithmic skills through divide-and-conquer and dynamic programming techniques. Implement algorithms in Python to analyze real-world datasets, enhancing problem-solving abilities across computational domains.

• Coursera
• 12 hours
• On-Demand
• Paid Course

Sundeep Saradhi Kanthety

Merge Sort Using Divide and Conquer - Algorithm, Example, and Time Complexity

Comprehensive exploration of merge sort algorithm, including divide-and-conquer strategy, step-by-step examples, and time complexity analysis for efficient sorting implementation.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Sundeep Saradhi Kanthety

Quick Sort Using Divide and Conquer - Algorithm, Example, and Time Complexity

Comprehensive exploration of Quick Sort algorithm, including divide-and-conquer approach, implementation examples, and time complexity analysis for efficient sorting techniques.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Sundeep Saradhi Kanthety

Differences Between Divide and Conquer and Dynamic Programming in Algorithm Design

Understand key distinctions between Divide & Conquer and Dynamic Programming approaches in algorithm design, exploring their unique problem-solving methodologies and implementation strategies.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Sundeep Saradhi Kanthety

Binary Search Using Divide and Conquer - Time Complexity and Examples

Explore binary search algorithm using divide and conquer approach, including implementation examples and time complexity analysis for efficient problem-solving in computer science.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Sundeep Saradhi Kanthety

Divide and Conquer Algorithm Design - Design and Analysis of Algorithms

Master divide and conquer algorithms through practical examples. Enhance problem-solving skills and optimize algorithmic design for efficient solutions in computer science and programming.

• YouTube
• 2 hours 18 minutes
• On-Demand
• Free Video

Sundeep Saradhi Kanthety

Design and Analysis of Algorithms Part 1 - Divide and Conquer and Greedy Method

Master algorithm design fundamentals through divide-and-conquer strategies, greedy methods, time complexity analysis, and essential algorithms like merge sort, Dijkstra's, and more.

• YouTube
• 7 hours 34 minutes
• On-Demand
• Free Video

Design and Analysis of Algorithms

7 reviews

Comprehensive exploration of algorithm design and analysis, covering complexity, sorting, data structures, and optimization techniques for efficient problem-solving.

• YouTube
• 10 hours
• On-Demand
• Free Video

Algorithms: Design and Analysis, Part 1

13 ratings at edX

Explore fundamental algorithms and data structures, mastering concepts like Big-O notation, sorting, searching, and graph primitives to enhance your problem-solving skills and ace technical interviews.

• edX
• 6 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Algorithmic Design and Techniques

3 reviews

Learn how to design algorithms, solve computational problems and implement solutions efficiently.

• edX
• 6 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)