Algorithms and Data Structures Courses and Certifications

Algorithmic Thinking (Part 1)

15 reviews

Explore algorithmic efficiency and graph theory, implementing key algorithms in Python to analyze real-world data sets. Develop problem-solving skills beyond specific programming languages.

• Coursera
• 12 hours
• On-Demand
• Free Online Course (Audit)

Discrete Optimization

12 reviews

Learn how to solve complex search problems using discrete optimization concepts and algorithms in this 8-week course from the University of Melbourne.

• Coursera
• 2 days 17 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

Text Retrieval and Search Engines

13 reviews

Learn natural language processing, vector space models, and search engine technologies to effectively retrieve and analyze text data from various sources.

• Coursera
• 1 day 6 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Aplicaciones de la Teoría de Grafos a la Vida Real (I)

17 reviews

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados.

• edX
• 4 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

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
• Free Online Course (Audit)

Processing Foundation

The Nature of Code

14 reviews

Explore programming strategies for simulating natural systems, covering physics, fractals, genetic algorithms, and more using p5.js. Learn to create digital worlds inspired by nature's unpredictable properties.

• Kadenze
• 30 hours
• On-Demand
• Free Online Course

How to Code: Simple Data

15 reviews

Learn the secret to writing well-tested and easy to improve programs, that will set you up to master any programming language

• edX
• 7 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps

7 reviews

Explore nonlinear data structures like trees, heaps, skiplists, and hashmaps. Learn implementation, operations, and algorithms for efficient data management and retrieval in Java.

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

Data Structures - Full Course Using C and C++

13 reviews

Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.

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

NPTEL;  Chennai Mathematical Institute

Design and Analysis of Algorithms

7 reviews

Learn algorithm design and analysis, covering sorting, graphs, dynamic programming, and complexity theory. Gain practical skills in efficient problem-solving and algorithm implementation.

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

Graph Search, Shortest Paths, and Data Structures

1978 ratings at Coursera

Explore data structures, graph algorithms, and their applications in computer science, from search techniques to social network analysis.

• Coursera
• 13 hours 32 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Algorithms

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

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

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

1262 ratings at Coursera

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

• Coursera
• 14 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

814 ratings at Coursera

Explore advanced graph algorithms, NP-completeness, and strategies for tackling computationally intractable problems. Learn Bellman-Ford, Floyd-Warshall, and heuristic approaches for complex algorithmic challenges.

• Coursera
• 13 hours 27 minutes
• 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
• 12 weeks
• On-Demand
• Free Online Course