Algorithms Courses and Certifications

Machine Learning: an overview

221 ratings at Coursera

Explore key machine learning methods, their applications, and limitations through examples and case studies. Gain insights into supervised, unsupervised, and reinforcement learning techniques.

• Coursera
• 2 hours 44 minutes
• Self-Paced
• Paid Course

Sorbonne University;  University of Copenhagen;  University of Warsaw;  University of Milan;  Charles University;  4EU+ Alliance

Data Literacy – What is it and why does it matter?

326 ratings at Coursera

Explore data literacy's impact on personal life, society, and knowledge production. Gain skills to interpret digital technologies, discern their value, and understand their influence on human needs and values.

• Coursera
• 11 hours 22 minutes
• Self-Paced
• Paid Course

Career Certificate

Coding with AI for MBAs

Master AI-powered coding for digital product development, from user interfaces to algorithms and data models, with a disciplined approach for MBAs and business professionals.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

University of New South Wales;  IEEE Geoscience and Remote Sensing Society

Remote Sensing Image Acquisition, Analysis and Applications

183 ratings at Coursera

Explore remote sensing fundamentals, platforms, sensors, and advanced image analysis techniques. Learn computational algorithms from historical methods to deep learning, with practical applications across earth and information sciences.

• Coursera
• 22 hours 45 minutes
• Self-Paced
• Paid Course

Code With Aarohi

Machine Learning Tutorial - Practical Implementation and Explanation of ML Algorithms

Master machine learning algorithms through hands-on Python implementation, covering regression, classification, clustering, and key concepts like overfitting and PCA.

• YouTube
• 4 hours 28 minutes
• Self-Paced
• Free Video

Keith Galli

Algorithms - Recurrences

Master recurrence equations through Fibonacci, merge sort, and binary search examples using recursion-tree and master methods for algorithm analysis.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Great Learning

Data Structures and Algorithms in Python for Beginners

Master essential data structures including lists, tuples, sets, dictionaries, queues, linked lists, stacks, graphs, and trees through hands-on Python implementation.

• YouTube
• 13 hours 49 minutes
• Self-Paced
• Free Video

Simple Snippets

Paging and Page Replacement Algorithms in Operating Systems - 2025

Master paging concepts, page faults, and replacement algorithms like FIFO, LRU, and Optimal for effective memory management in operating systems.

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

Simple Snippets

CPU Scheduling Algorithms - Operating Systems Full Course 2025

Master CPU scheduling algorithms including FCFS, SJF, Priority, Round Robin, and Multilevel Queue to optimize system efficiency and process management in operating systems.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

CppNuts

Array Interview Questions - Data Structures and Algorithms Practice

Master essential array algorithms and data structures through 15 challenging interview problems, from reversing arrays to finding subarrays with given sums.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Kanpur

Computer Algorithms - 2

The course discusses efficient algorithms from a large number of domains. This course assumes the knowledge of data structures, the knowledge big-O notation and the concept of time and space complexity of an algorithm.

• YouTube
• 1 day 6 hours
• Self-Paced
• Free Video

Great Learning

Data Structures and Algorithms in Python for Beginners

Comprehensive exploration of data structures and algorithms using Python, covering fundamental concepts, implementation, and analysis for beginners to enhance problem-solving skills.

• YouTube
• 7 hours 57 minutes
• Self-Paced
• Free Video

CS Dojo

A Complete Overview of Quicksort - Data Structures & Algorithms

Comprehensive exploration of quicksort algorithm, covering implementation, time complexity, and optimization techniques for efficient data sorting.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Simple Snippets

Big Oh vs Big Omega vs Big Theta Notations - Asymptotic Analysis of Algorithms with Example

Explore Big O, Omega, and Theta notations for algorithm analysis. Learn their mathematical definitions, practical applications, and differences in measuring best, worst, and average-case time complexities.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Neso Academy

Scheduling Algorithms - Shortest Job First

Explore Shortest Job First scheduling algorithm in operating systems, covering non-preemptive and preemptive approaches, average waiting time calculations, and addressing potential issues.

• YouTube
• 29 minutes
• Self-Paced
• Free Video