Social And Emotional Learning Courses

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 minutes
• Self-Paced
• Paid Course

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 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

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

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

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

Unsupervised Machine Learning

364 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

Social and Environmental Leadership in the Arctic

Explore Arctic governance, community resilience, and climate impacts while developing leadership skills to translate science into effective policy for sustainable futures.

• edX
• 5 weeks, 2-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Introducción a la Responsabilidad Social Universitaria

85 ratings at Coursera

Explora la Responsabilidad Social Universitaria: conceptos, enfoques y aplicaciones prácticas desde la experiencia de la PUCP para impulsar la transformación social desde la educación superior.

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

Python and Machine-Learning for Asset Management with Alternative Data Sets

236 ratings at Coursera

The course teaches tools such as analytics, text mining, sentiment analysis, and data visualization required to process the data in order to gain insight for financial market applications.

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

Create Machine Learning Models in Microsoft Azure

331 ratings at Coursera

Aprende los principios de machine learning y cómo usar herramientas como scikit-learn, TensorFlow y PyTorch en Azure. Prepara modelos predictivos, optimízalos y despliega soluciones de machine learning en producción.

• Coursera
• 10 hours 55 minutes
• Self-Paced
• Paid Course

Python Machine Learning Immersive (Live Online)

330 ratings at CourseHorse

Master the essential skills to excel in the booming field of machine learning, including regression and classification algorithms, feature selection, and model evaluation.

• CourseHorse
• Self-Paced
• $1,895.00

Introduction to AI and Machine Learning on Google Cloud

328 ratings at Coursera

Explore AI and ML on Google Cloud, from foundations to development and solutions. Learn to build ML models, pipelines, and generative AI projects using various tools and technologies.

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

Using R for Regression and Machine Learning in Investment

Learn regression and machine learning techniques for investment analysis using R, covering backtesting, risk assessment, and factor models to enhance decision-making in financial markets.

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