Social And Emotional Learning Courses

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

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

Deep Learning for AI Part 1

Master the foundations of deep learning—from neural networks and CNNs to RNNs, VAEs, GANs, and Transformers—with hands-on TensorFlow/Keras and PyTorch implementation.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Deep Learning for AI Part 2

Explore advanced generative AI, covering diffusion models, autoregressive models, normalizing flows, and multimodal systems like DALL-E and Stable Diffusion, with ethical implications examined.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

New York Institute of Finance;  Google Cloud

Using Machine Learning in Trading and Finance

379 ratings at Coursera

Explore machine learning techniques for advanced trading strategies, including quantitative, pairs, and momentum trading. Learn to design, build, and back test models using TensorFlow and Keras.

• Coursera
• 7 hours 58 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

368 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

Introducción a la Responsabilidad Social Universitaria

86 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

237 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

Introduction to AI and Machine Learning on Google Cloud

332 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

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

Build the essential abilities to thrive in the fast-growing field of machine learning, including regression and classification algorithms, feature selection, and model evaluation.

• CourseHorse
• Self-Paced
• $1,895.00

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

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course