Stanford University Courses

Graph Search, Shortest Paths, and Data Structures

1962 ratings at Coursera

Explore data structures, graph primitives, and their applications with Stanford University's 4-week online course. Dive into heaps, search trees, hash tables, and more.

• Coursera
• 15 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning

376 reviews

Machine learning is the science of getting computers to act without being explicitly programmed. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.

• Coursera
• 11 weeks, 61 hours a week
• Finished
• Free Online Course (Audit)

Algorithms: Design and Analysis, Part 1

Stanford University offers a 6-week, self-paced course on algorithm design and analysis. It covers topics like sorting, searching, data structures, and graph primitives.

• edX
• 6 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Databases: Modeling and Theory

Stanford University offers a 2-week, self-paced course on databases, covering relational databases, SQL, database design, and semistructured data. Expect 8-10 hours of work per week.

• edX
• 2 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

1248 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
• 15 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Algorithms: Design and Analysis, Part 2

Stanford University's 6-week course on advanced algorithm design and analysis. Offers practical applications, conceptual understanding, and mastery of algorithms. Self-paced with multiple assessments.

• edX
• 6 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

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

804 ratings at Coursera

Stanford's 4-week course explores shortest paths, NP-completeness, and strategies for handling computationally intractable problems.

• Coursera
• 13 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Fundamentals of Machine Learning for Healthcare

419 ratings at Coursera

Stanford University's 8-week course explores the fundamentals of machine learning in healthcare, empowering non-engineering professionals to critically evaluate and use these technologies.

• Coursera
• 14 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Probabilistic Graphical Models 3: Learning

298 ratings at Coursera

Stanford's 5-week course on Probabilistic Graphical Models, focusing on learning from data sets. Covers parameter estimation, structure learning, and includes hands-on assignments.

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

Introduction to Clinical Data

292 ratings at Coursera

Stanford's 8-week course on ethical medical data mining, constructing analysis-ready datasets, and addressing fairness and bias in healthcare decisions.

• Coursera
• 11 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Evaluations of AI Applications in Healthcare

206 ratings at Coursera

This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.

• Coursera
• 11 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

AI in Healthcare Capstone

184 ratings at Coursera

Explore AI in healthcare with Stanford University's 5-week capstone project. Follow a patient's journey, use real data to build risk-stratification models, and discuss regulatory and ethical issues.

• Coursera
• 10 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Synthetic biology gives us the power to redesign biological systems from scratch, providing them with capabilities not found in nature. In this course, Drew Endy discusses how synthetic biology can reshape the global economy, as well as life itself.

• World Science U
• On-Demand
• Free Online Course

Stanford Seminar - Training Classifiers with Natural Language Explanations

In this work, we propose BabbleLabble, a framework for training classifiers in which an annotator provides a natural language explanation for each labeling decision.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Scalable Intelligent Systems Build and Deploy by 2025

Explore the future of human-computer evolution with Stanford University's seminar on Scalable Intelligent Systems. Learn to integrate people, communications, and computers into a cooperative environment.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Online Course