Discriminant Analysis Courses and Certifications

NPTEL-NOC IITM

Multi-Class Classification with Discriminant Analysis

Learn discriminant analysis techniques for multi-class classification, covering data collection, distributions, decision boundaries, and linear approaches to effectively categorize new data points.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Survey analysis to Gain Marketing Insights

126 ratings at Coursera

Analyze survey data with factor analysis, cluster analysis, discriminant analysis and multi-dimensional scaling in XLSTAT to segment customers, position brands, and build perceptual maps.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Data Science - Supervised Machine Learning in Python

Apply supervised machine learning theory in Python through hands-on work with real datasets, model tuning, and deployment as web services.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Great Learning

Linear Discriminant Analysis - Discriminant Analysis Tutorial - Machine Learning Tutorial

Learn how Fisher’s discriminant analysis separates categorical groups, reduces features, and validates classification accuracy through a worked Microsoft Excel exercise.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

UofU Data Science

Multidimensional Scaling and Linear Discriminant Analysis in Data Mining - Spring 2023

Explore multidimensional scaling (MDS) and linear discriminant analysis (LDA), learning key concepts, motivations, and practical applications in data dimensionality reduction and classification.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Implementing Linear Discriminant Analysis (LDA) with Irish Data Sets in R

Implement LDA using Irish datasets in R, gaining practical experience with Linear Discriminant Analysis techniques.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Tom Rocks Maths

Oxford Calculus - Classifying 2D Critical Points Using the Discriminant

Learn to classify 2D critical points using the discriminant method. Explore maximum, minimum, and saddle points with visualizations and step-by-step derivations for multivariable functions.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

多元统计分析

以统计理论为主线，系统讲解多元分析方法，并通过实例与上机实践连接统计推断和实际应用。

• XuetangX
• Self-Paced
• Free Online Course

University of Calcutta;  UGC

Applied Multivariate Analysis

Extends univariate statistics to many dependent variables, then covers methods unique to multivariate data: clustering, discriminant classification, principal components, factor analysis, canonical correlations and multivariate linear models.

• Swayam
• 12 weeks
• Not Currently Offered
• Free Online Course