Dimensionality Reduction Courses and Certifications

Data Mining - Unsupervised Learning

117 ratings at Udemy

Master unsupervised learning techniques including clustering, dimensionality reduction, and association rules. Apply practical algorithms for pattern discovery, anomaly detection, and recommendation systems using Python and R.

• Udemy
• 10 hours 42 minutes
• On-Demand
• Paid Course

Master Marketing Analytics with Python and Machine Learning

95 ratings at Udemy

Level up your marketing career with data analytics skills | Learn Python & ML to optimize your marketing campaigns

• Udemy
• 23 hours 50 minutes
• On-Demand
• Paid Course

Unsupervised Machine Learning : With 2 Capstone ML Projects

87 ratings at Udemy

Learn Complete Unsupervised ML: Clustering Analysis and Dimensionality Reduction

• Udemy
• 2 hours 59 minutes
• On-Demand
• Paid Course

Connect the Dots: Factor Analysis

88 ratings at Udemy

Factor extraction using PCA in Excel, R and Python

• Udemy
• 1 hour 36 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Fondamentaux de la science des données

Comment tirer profit des milliards de données générées par les activités humaines sans s’y perdre? Inscrivez-vous au MOOC Science des données pour découvrir les concepts fondamentaux qui sont au cœur de l’intelligence artificielle!

• edX
• 8 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Unsupervised Learning and Its Applications in Marketing

Explore unsupervised learning techniques in Python for marketing insights. Uncover customer segments, reduce data dimensions, detect anomalies, and build recommender systems to drive data-driven marketing strategies.

• Coursera
• 21 hours 43 minutes
• On-Demand
• Paid Course

Coursera

Advanced Machine Learning Techniques

Master ensemble methods, dimensionality reduction, NLP, reinforcement learning, and AutoML using industry-standard tools like Scikit-learn, XGBoost, and PyTorch for real-world AI applications.

• Coursera
• 1 day 9 hours 42 minutes
• On-Demand
• Paid Course

Foundations of Agent-Based AI Systems

Master foundational AI agent architectures, state representation, action selection, and evaluation techniques to build robust agent-based systems for real-world applications.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

Packt

Advanced ML Algorithms & Unsupervised Learning

Master advanced machine learning techniques including Random Forest, SVM, PCA, K-Means clustering, and deep learning fundamentals to build more powerful predictive models and uncover patterns in unlabeled data.

• Coursera
• 8 hours 43 minutes
• On-Demand
• Paid Course

Linear Algebra for ML and Analytics Training

Master essential linear algebra concepts for data science and ML, covering equations, matrices, vectors, and PCA applications in just over 3 hours.

• Coursera
• 3 hours 13 minutes
• On-Demand
• Paid Course

EDUCBA

Understand and Apply Artificial Intelligence Fundamentals

Explore AI fundamentals from core concepts to machine learning and reinforcement learning techniques for intelligent decision-making systems.

• Coursera
• 5 hours 58 minutes
• On-Demand
• Paid Course