Stanford University

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Writing in the Sciences (Coursera) Coursera
Stanford University

Writing in the Sciences (Coursera)

Health & Society Medicine & Pharmacology

Discover how to effectively convey complex scientific concepts through Writing in the Sciences. This course is designed for researchers who want to enhance their communication skills, write more efficiently, and engage broader audiences with their work. From mastering manuscript formats to navigating peer review processes and ethical considerations, this course covers all aspects of scientific writing.

Jul 27th 2026
5-12 Weeks
Health Science Writing
Details
Advanced Learning Algorithms (Coursera) Coursera
Stanford University,DeepLearning.AI

Advanced Learning Algorithms (Coursera)

Data Science

Expand your knowledge in machine learning by diving into 'Advanced Learning Algorithms'. This course will guide you through building and training complex neural networks using TensorFlow for effective multi-class classification tasks. You'll also learn best practices for developing machine learning models that generalize well to real-world data and scenarios, as well as explore decision trees and ensemble methods like random forests and boosted trees.

Jul 27th 2026
4 Weeks
Algorithms Machine Learning Neural Networks
Details
Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera) Coursera
Stanford University,DeepLearning.AI

Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera)

Data Science

Dive into the world of advanced machine learning with our 'Unsupervised Learning, Recommenders, Reinforcement Learning' course. This comprehensive program will equip you with essential skills in unsupervised learning techniques like clustering and anomaly detection, as well as cutting-edge approaches to building effective recommender systems and implementing deep reinforcement learning models.

Jul 27th 2026
3 Weeks
Machine Learning Clustering Recommender Systems
Details
Stanford Introduction to Food and Health (Coursera) Coursera
Stanford University

Stanford Introduction to Food and Health (Coursera)

Food & Nutrition Health & Society

Embark on a journey towards healthier eating habits with Stanford University's Introduction to Food and Health course, available on Coursera. This practical course shifts the focus from nutrients to real food and its environment, equipping you with the knowledge and skills to make informed dietary choices for improved health and sustainability.

Jul 20th 2026
5-12 Weeks
Health Nutrition Food
Details
Divide and Conquer, Sorting and Searching, and Randomized Algorithms (Coursera) Coursera
Stanford University

Divide and Conquer, Sorting and Searching, and Randomized Algorithms (Coursera)

CS: Software Engineering CS: Theory

Dive into the core concepts of computer science with our specialized online course on Divide and Conquer, Sorting and Searching, and Randomized Algorithms. This course is designed for those who want to understand how to efficiently manage large datasets and solve complex computational problems using advanced techniques. Learn about asymptotic notation, sorting algorithms like Merge Sort and QuickSort, searching methods such as Binary Search, and the power of randomized approaches.

Jul 20th 2026
4 Weeks
Programming Algorithms Matrix
Details
Graph Search, Shortest Paths, and Data Structures (Coursera) Coursera
Stanford University

Graph Search, Shortest Paths, and Data Structures (Coursera)

CS: Theory

Dive into the world of advanced data structures and graph algorithms with our Graph Search, Shortest Paths, and Data Structures course. This specialized program is designed for those looking to deepen their understanding of essential concepts like heaps, balanced search trees, hash tables, bloom filters, and more. Explore practical applications in connectivity and shortest path analysis, and discover how these principles can be applied to solve complex problems across various fields.

Jul 20th 2026
4 Weeks
Algorithms Data Structures Computer Science
Details
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming (Coursera) Coursera
Stanford University

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming (Coursera)

CS: Software Engineering CS: Theory

Dive into the world of efficient problem-solving with our specialized online course on Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming. This course is designed for those who want to enhance their algorithmic skills and learn how to tackle intricate computational challenges effectively.

Jul 20th 2026
4 Weeks
Programming Algorithms Clustering
Details
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