Skip to main content
CoursebeginnerFree

Algorithms, Part II

Coursera

⏱ 6 weeks of study, 6–10 hours per week.

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion.

Visit resource

More resources on Algorithm Design Techniques

WebsiteFree

USACO Guide

Free guide covering algorithm design paradigms

WebsiteFree

CP-Algorithms

Comprehensive guide to algorithm design techniques for competitive programming

VideoFree

Dynamic Programming Introduction

Abdul Bari on DP design technique

CourseFree

Algorithms, Part I

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion.

WebsiteFree

geeksforgeeks.org

GeeksforGeeks is a comprehensive computer science learning platform offering free tutorials, articles, and practice problems on algorithms, data structures, programming languages, and interview preparation. It features step-by-step explanations, code examples, and extensive problem sets to help users master algorithm design techniques.

WebsiteFree

algoexpert.io

AlgoExpert is an online platform offering curated algorithm practice with video explanations and an in-browser code editor to master data structures and algorithm design techniques. It features categorized problems (e.g., dynamic programming, graphs, arrays) with editorial solutions and testable code to prepare for technical interviews.

See all Algorithm Design Techniques resources β†’