Social And Emotional Learning Courses

Impossibility & Social Choice - Intro to Political Economy

Explore social choice theory, Arrow's Theorem, and decision-making processes in groups. Learn about optimal majority, interest groups, and various voting methods in political systems.

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

Advancing Learning Through Evidence-Based STEM Teaching

Explore evidence-based strategies for active learning, expert thinking, collaborative environments, and innovative approaches in STEM education to enhance teaching effectiveness.

• edX
• 8 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course

Applications of Machine Learning in Plant Science

Explore machine learning applications in plant sciences through Python exercises, covering key concepts and real-world examples to implement and evaluate ML approaches in plant biology.

• edX
• 12 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course

Learning and memory in the brain: a guide for teachers

30 ratings at Coursera

Explore how the brain learns and stores memories to enhance your teaching methods and support diverse learners effectively in the classroom.

• Coursera
• 21 hours 32 minutes
• Self-Paced
• Paid Course

Social Innovation: Strategy for Nonprofit Organisations

18 ratings at Coursera

Discover how to transform ideas into impactful social innovations using 20 actionable tools across define, design, pilot, and scale phases for sustainable community change.

• Coursera
• 10 hours 23 minutes
• Self-Paced
• Paid Course

Credential

Machine Learning and Reinforcement Learning in Finance

820 ratings at Coursera

Comprehensive exploration of machine learning and reinforcement learning applications in finance, covering core algorithms, practical problem-solving, and implementation for various financial scenarios.

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

Online Learning and Dual-Delivery at University of Melbourne - International Student Webinar

2 ratings

Experts discuss online and dual-delivery learning at University of Melbourne, covering benefits, challenges, and tips for success in a global educational environment.

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

Global Social Change

Learn how everyday people in China, Bangladesh, Mexico, and the U.S. transform the world around them and advocate for social change.

• edX
• 4 weeks, 2-3 hours/week
• Self-Paced
• Free Certificate

Reinforcement Learning

This MOOC teaches the basics in reinforcement learning. It provides participants with a solid mathematical basis to study new methods from reinforcement learning research and put them into practice.

• edX
• 8 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Deep Learning

Master the fundamentals of neural networks, from MLPs and CNNs to RNNs and Transformers, through hands-on programming and practical training techniques for building modern AI systems.

• edX
• 6 weeks, 6-8 hours/week
• Self-Paced
• Free Online Course (Audit)

Basics of Machine Learning

"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.

• edX
• 8 weeks, 6-8 hours/week
• Self-Paced
• Free Online Course (Audit)

Machine Learning: Concepts and Applications

25 ratings at Coursera

Comprehensive introduction to machine learning theory and practice using Python. Learn data preparation, modeling techniques, and evaluation methods with real-world datasets, focusing on practical applications and conceptual understanding.

• Coursera
• 1 day 13 hours 39 minutes
• Self-Paced
• Paid Course

Machine Learning with Neural Networks

Explore neural network fundamentals, backpropagation, regularization, and Bayesian methods for machine learning with hands-on TensorFlow implementation.

• Coursera
• 1 day 12 hours 52 minutes
• Self-Paced
• Paid Course

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• Self-Paced
• Paid Course

Foundations for Machine Learning

Master essential probability distributions and Bayesian vs frequentist perspectives to build a strong mathematical foundation for machine learning and data science applications.

• Coursera
• 21 hours 28 minutes
• Self-Paced
• Paid Course