Algorithms and Data Structures Courses and Certifications

Career Certificate

Data Structures and Algorithms

Explore fundamental to advanced data structures and algorithms, enhancing skills in design, implementation, and performance analysis for efficient problem-solving in computer science.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Text Retrieval and Search Engines

13 ratings

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
• Self-Paced
• Paid Course

Data Structures and Algorithms In C ( DSA )

1380 ratings at Udemy

Data Structures and Algorithms in C Using C DSA C Data Structures Algorithms with C LeetCode C DSA in C DSA and C DSA C

• Udemy
• 10 hours 15 minutes
• Self-Paced
• Paid Course

Computer Science 201: Data Structures & Algorithms

Comprehensive exploration of data structures and algorithms, covering Java basics, OOP, core structures, analysis, recursion, ADTs, trees, sorting, and advanced topics for practical implementation.

• Study.com
• 13 hours 20 minutes
• Self-Paced
• Paid Course

Principles of Computing (Part 2)

16 ratings

Explore computational principles, data structures, recursion, and algorithmic thinking through hands-on Python projects, preparing you for advanced problem-solving in computer science.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Algorithmic Thinking (Part 1)

15 ratings

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
• Self-Paced
• Paid Course

Data Structures and Algorithms in C for Beginners

409 ratings at Udemy

Learn, understand and implement DSA in C Programming

• Udemy
• 10 hours 27 minutes
• Self-Paced
• Paid Course

Programming with Mosh

Data Structures and Algorithms for Beginners

Learn essential data structures and algorithms, including Big O notation, arrays, and linked lists, to improve problem-solving skills and ace coding interviews.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Processing Foundation

The Nature of Code

14 ratings

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
• Self-Paced
• Free Online Course

Design of Computer Programs

14 ratings

Learn how to model problems, and how to optimize performance by using some of the advanced features of Python.

• Udacity
• 30 hours
• Self-Paced
• Free Online Course

NPTEL;  IIT Madras

Programming, Data Structures and Algorithms

4 ratings

Comprehensive exploration of programming fundamentals, data structures, and algorithms, covering key concepts and techniques for efficient problem-solving and software development.

• YouTube
• 23 hours
• Self-Paced
• Free Video

Data Structures - Full Course Using C and C++

17 ratings

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

• freeCodeCamp
• 10 hours
• Self-Paced
• Free Video

Chennai Mathematical Institute;  NPTEL

Programming, Data Structures And Algorithms Using Python

1 rating

Aprenda programação em Python, abordando estruturas de dados, algoritmos e resolução de problemas. Desenvolva habilidades práticas em codificação, desde conceitos básicos até tópicos avançados como programação dinâmica.

• Swayam
• 8 weeks
• Available until Sep 11, 2026
• Free Online Course

Data Structures and Algorithms in Python

1 rating

A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python.

• Jovian
• Self-Paced
• Free Online Course

Data Structures and Performance

6 ratings

Explore data structures and algorithms for efficient handling of large datasets. Learn asymptotic analysis, linked lists, trees, and hashtables to improve program performance and flexibility.

• Coursera
• 1 day 17 hours 34 minutes
• Self-Paced
• Paid Course