Dimensionality Reduction Courses and Certifications

Connect the Dots: Factor Analysis

84 ratings at Udemy

Factor extraction using PCA in Excel, R and Python

• Udemy
• 1-2 hours
• On-Demand
• Paid Course

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
• Free Online Course (Audit)

Unsupervised Learning in R

22 ratings at DataCamp

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Dimensionality Reduction in Python

11 ratings at DataCamp

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

AI in Architectural Design: Introduction

Learn about the elements of AI, machine learning and computer vision. Discover the open-source AI tools, and hidden AI gems. Learn how to play with architectural design data using freely available AI model.

• edX
• 8 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Image Processing and Analysis for Life Scientists

6 ratings at edX

Basic image analysis for life scientists with a non-engineering background. The main goal is to teach how to address and solve scientific questions by state of the art image analysis strategies.

• edX
• 7 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning with Python

1 review

Explore machine learning basics, algorithms, and models using Python. Learn supervised and unsupervised techniques, statistical modeling, and real-world applications. Gain practical skills in classification, regression, clustering, and dimensionality red…

• Cognitive Class
• 3 hours
• On-Demand
• Free Online Course

Machine Learning

1 review

Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.

• YouTube
• 22 hours
• On-Demand
• Free Video

University of Tübingen

Introduction to Machine Learning

Explore key machine learning concepts and techniques, from linear regression to deep learning, clustering, and dimensionality reduction, with hands-on applications.

• YouTube
• 11 hours
• On-Demand
• Free Online Course

Machine Learning - Dimensionality Reduction

Learn techniques to reduce dataset features using PCA and EFA, with hands-on practice in R. Explore the theory and application of dimensionality reduction in machine learning.

• Cognitive Class
• 6 hours
• On-Demand
• Free Online Course

Advanced Predictive Modelling in R Certification Training

Master R for data science with advanced analytics, regression, forecasting, and churn analysis. Gain expertise in imputation, dimensionality reduction, and survival analysis techniques.

• Edureka
• On-Demand
• Paid Course

Data Science Foundations: Data Mining

304 ratings at LinkedIn Learning

Learn the key concepts and skills behind one of the most important elements of data science: data mining.

• LinkedIn Learning
• 3 hours 3 minutes
• On-Demand
• Free Trial Available

IIT Kharagpur;  NPTEL

Mathematics for Machine Learning

Explore advanced mathematical concepts essential for developing robust machine learning algorithms, including optimization, regularization, and statistical modeling techniques.

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

Data Science Foundations: Data Mining in R

154 ratings at LinkedIn Learning

Do you work in data analysis? Learn how to mine data using R. Topics include dimensionality reduction, clustering, classification, association analysis, and more.

• LinkedIn Learning
• 3 hours 52 minutes
• On-Demand
• Free Trial Available

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)