Social And Emotional Learning Courses

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

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

Machine Learning and Data Analytics Part 1

Dive into data mining fundamentals, exploring preprocessing, classification, clustering, and regression techniques through hands-on projects and real-world case studies.

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

Machine Learning and Data Analytics Part 2

Explore advanced data mining techniques including clustering, neural networks, SVMs, and text mining with real-world applications across engineering sectors.

• Coursera
• 18 hours 25 minutes
• Self-Paced
• Paid Course

Machine Learning with Small Data Part 2

Master advanced ML techniques for limited datasets: multi-task learning, meta-learning, NeRF, diffusion models, and 3D Gaussian Splatting for real-world data constraints.

• Coursera
• 11 hours 34 minutes
• Self-Paced
• Paid Course

Machine Learning with Small Data Part 1

Discover modern deep learning techniques for training effective models with limited datasets, addressing challenges in healthcare, military, and industry applications.

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

Introduction to Machine Learning and Algorithmic Bias

Explore AI and machine learning fundamentals while mastering algorithmic bias detection and mitigation strategies for responsible business applications.

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

Statistical Learning for Engineering Part 1

Explore supervised and unsupervised machine learning algorithms, from linear regression to SVMs, with hands-on Python implementation for real-world engineering applications.

• Coursera
• 1 day 11 hours 38 minutes
• Self-Paced
• Paid Course

Statistical Learning for Engineering Part 2

Explore advanced machine learning algorithms including neural networks, clustering, dimensionality reduction, and reinforcement learning with hands-on Python implementation.

• Coursera
• 1 day 46 minutes
• Self-Paced
• Paid Course

كيفية بناء منظمة متعلمة|How to Build a Learning Organization

18 ratings at Coursera

تعلم كيفية بناء منظمة متعلمة من خلال فهم دور القيادة، خلق ثقافة التعلم، والتعرف على المبادئ الأساسية لتحقيق الميزة التنافسية في عصر العولمة.

• Coursera
• 2 hours 3 minutes
• Self-Paced
• Paid Course

Practical Machine Learning with Scikit-Learn

363 ratings at Udemy

Learn the most powerful machine learning algorithms in under an hour

• Udemy
• 1 hour 7 minutes
• Self-Paced
• Free Online Course

Unsupervised Machine Learning

361 ratings at Coursera

Explore unsupervised machine learning techniques, including clustering and dimensionality reduction, to uncover insights from unlabeled data. Gain hands-on experience with algorithms and best practices.

• Coursera
• 22 hours 41 minutes
• Self-Paced
• Paid Course

Machine Learning for Smart Beta

Explore smart beta products, recreate MSCI Enhanced Value Index, and apply machine learning techniques to create improved multi-factor models for investment strategies using R programming.

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

Social Media & Marketing - Jagdish Sheth

Explore the transformative impact of digital technology and social media on marketing strategies, including branding, distribution, and consumer engagement in the digital age.

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

Strategies for Planned Social Change with Jagdish Sheth

Explore strategies for planned social change, focusing on user-centric approaches to address social issues. Learn from examples like environmental sustainability and UN's Sustainable Development Goals.

• Coursera
• 5 hours 45 minutes
• Self-Paced
• Paid Course

Predictive Modelling with Applications: Supervised and Unsupervised Learning

Master predictive modeling techniques including PCA, clustering, regression analysis, and logistic regression using R for improved data-driven decision making.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course