Genetic Algorithms Courses

Packt

Quantum Computing with Qiskit and Advanced Algorithms

26 ratings at Coursera

Master quantum computing fundamentals and advanced algorithms using Qiskit. Implement teleportation, Bernstein-Vazirani, Deutsch, Grover's, and Shor's algorithms on IBM quantum computers. Gain practical skills for real-world applications.

• Coursera
• 8 hours 57 minutes
• Self-Paced
• Paid Course

Geometric Algorithms

24 ratings at Coursera

Explore geometric algorithms for spatial data analysis in robotics, graphics, and GIS. Learn techniques for efficient problem-solving and algorithm design in computational geometry.

• Coursera
• 17 hours 48 minutes
• Self-Paced
• Paid Course

Codio Career Certificate

C++: Data Structures and Algorithms

18 ratings at Coursera

Master data structures and algorithms in C++, from linear structures like lists to complex non-linear structures like trees, heaps, and graphs. Enhance your programming skills with hands-on implementation and analysis.

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

Codio Career Certificate

Java: Data Structures and Algorithms

13 ratings at Coursera

Master Java data structures and algorithms, from lists to graphs, enhancing your programming skills and problem-solving abilities.

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

Codio

C++: Algorithms

13 ratings at Coursera

Master data structures and algorithms in C++ through hands-on coding exercises, covering complexity analysis, design techniques, searching, and sorting - all with instant feedback and practical examples.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Fractal Analytics

Advanced Machine Learning Algorithms

12 ratings at Coursera

Explore advanced machine learning algorithms, from regularization to ensemble methods. Master feature engineering, hyperparameter tuning, and model selection for enhanced predictive accuracy and real-world applications.

• Coursera
• 20 hours 43 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

Codio

Java: Algorithms

Explore data structures and algorithms in Java, covering complexity analysis, design techniques, searching, and sorting through hands-on coding exercises and instant feedback.

• Coursera
• 12 hours 30 minutes
• Self-Paced
• Paid Course

Packt

Advanced Data Structures and Algorithms

Master essential data structures and algorithms through hands-on practice with recursion, searching, sorting, and traversal techniques. Build efficient solutions for complex programming challenges and optimize algorithmic performance.

• Coursera
• 9 hours 55 minutes
• Self-Paced
• Paid Course

Scrimba Career Certificate

JavaScript Algorithms

Master essential algorithms and problem-solving techniques in JavaScript, from beginner challenges to advanced concepts like Binary Search and Merge Sort, enhancing your software development capabilities.

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

Scrimba

Data Structures and Algorithms: Binary Search

Enhance coding skills by implementing six binary search algorithms, focusing on hands-on learning and problem-solving techniques applicable to broader software development contexts.

• Coursera
• 1 hour 18 minutes
• Self-Paced
• Paid Course

Fred Hutchinson Cancer Center

Practical Steps for Building Fair AI Algorithms

Learn practical steps to build fair AI algorithms, focusing on real-world applications in healthcare, criminal justice, and language models. Gain insights on designing, assessing, and implementing ethical algorithmic decision-making systems.

• Coursera
• 5 hours 29 minutes
• Self-Paced
• Paid Course

Scrimba

Data Structures and Algorithms: Merge Sort

Master merge sort with six implementations, enhancing problem-solving skills and algorithmic thinking for improved software design and development abilities.

• Coursera
• 1 hour 24 minutes
• Self-Paced
• Paid Course

Packt

Advanced ML Algorithms & Unsupervised Learning

Master advanced machine learning techniques including Random Forest, SVM, PCA, K-Means clustering, and deep learning fundamentals to build more powerful predictive models and uncover patterns in unlabeled data.

• Coursera
• 8 hours 43 minutes
• Self-Paced
• Paid Course

Packt

Exploratory Data Analysis & Core ML Algorithms

Master exploratory data analysis and core ML algorithms including linear regression, logistic regression, Naive Bayes, and decision trees through hands-on projects and real-world applications.

• Coursera
• 14 hours 5 minutes
• Self-Paced
• Paid Course