Social And Emotional Learning Courses

Machine Learning for All

3536 ratings at Coursera

This course is designed to introduce you to Machine Learning without needing any programming.

• Coursera
• 20 hours 36 minutes
• Self-Paced
• Paid Course

New Learning: Principles and Patterns of Pedagogy

412 ratings at Coursera

Explore pedagogical paradigms and contemporary education trends. Analyze didactic, authentic, and transformative approaches to learning. Prepare for purposeful choices in instructional methods aligned with individual and group goals.

• Coursera
• 15 hours 15 minutes
• Self-Paced
• Paid Course

Learning, Knowledge, and Human Development

289 ratings at Coursera

Explore theories of learning and development in relation to educational technology, examining paradigm shifts from behaviorism to social cognitivism and applying concepts to technology-mediated learning environments.

• Coursera
• 9 hours 27 minutes
• Self-Paced
• Paid Course

Learning Technologies Foundations and Applications

196 ratings at Coursera

Explore learning technology applications, evaluate solutions using cognitive theories, and justify tech choices for organizational problem-solving based on evidence and best practices.

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

Multimodal Literacies: Communication and Learning in the Era of Digital Media

180 ratings at Coursera

This course introduces innovative approaches to learning and teaching, with a focus on the use of e-learning and social web technologies.

• Coursera
• 1 day 16 minutes
• Self-Paced
• Paid Course

Literacy Teaching and Learning: Aims, Approaches and Pedagogies

134 ratings at Coursera

Explore diverse approaches to literacy education, from traditional to contemporary, emphasizing multiliteracies and multimodal communication in various social and cultural contexts.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Ubiquitous Learning and Instructional Technologies

78 ratings at Coursera

Explore innovative technologies for learning, including LMS, intelligent tutors, gamification, and learning analytics. Analyze selection, implementation, and design of digital resources for effective teaching and learning.

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

Machine Learning for Accounting with Python

45 ratings at Coursera

Explore machine learning algorithms and their applications in accounting using Python, covering classification, regression, clustering, text analysis, and time series analysis.

• Coursera
• 2 days 16 hours 15 minutes
• Self-Paced
• Paid Course

Machine Learning Algorithms with Python in Business Analytics

41 ratings at Coursera

Master machine learning algorithms in Python for business analytics, covering regression, classification, and clustering techniques to extract actionable insights from data.

• Coursera
• 16 hours 54 minutes
• Self-Paced
• Paid Course

Machine Learning Algorithms with Python in Business Analytics

38 ratings at Coursera

Explore machine learning algorithms for business analytics using R. Learn regression, classification, and clustering techniques to uncover patterns and gain actionable insights from data.

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

Negotiating Learner Differences: Towards Productive Diversity in Learning

35 ratings at Coursera

Explore dimensions of learner diversity, social-cultural theories, and educational technologies to create customized learning environments that address individual needs and promote inclusive education.

• Coursera
• 15 hours 37 minutes
• Self-Paced
• Paid Course

Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore deep learning methods for healthcare applications, covering embedding, CNNs, RNNs, and autoencoders. Gain practical experience through labs, assignments, and a large project with potential for publication.

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

Advanced Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore advanced deep learning techniques for healthcare, including attention models, graph neural networks, memory networks, and generative models. Apply these methods to real-world medical challenges through hands-on projects.

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

Machine Learning and Human Learning

Explore the intersection of AI and education, examining machine learning concepts, learning analytics, and critical perspectives on AI applications in educational settings.

• Coursera
• 1 day 12 hours 16 minutes
• Self-Paced
• Paid Course

Critical criminology and the social sciences

5 ratings

This free course, Critical criminology and the social sciences, will provide you with an insight into some of the main disciplines within the social sciences, focusing in particular on critical ...

• OpenLearn
• 6 hours
• Self-Paced
• Free Certificate