Factor Analysis Courses and Certifications

SPSS for Beginners - Full Course

95 ratings

Comprehensive guide to SPSS Statistics software, covering data analysis techniques, visualization tools, and statistical methods for beginners. Includes hands-on examples and practical applications.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

Centre de recherches mathématiques - CRM

Optimal Vintage Factor Analysis with Deflation Varimax

Discover optimal vintage factor analysis using deflation varimax rotation for low-dimensional data representation with theoretical guarantees and minimax optimal rates.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Factor Analysis in R

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Survey analysis to Gain Marketing Insights

124 ratings at Coursera

Learn advanced survey analysis techniques for marketing insights, including factor analysis, customer segmentation, and perceptual mapping. Apply statistical methods to convert survey data into actionable marketing strategies within the STP framework.

• Coursera
• 5 hours 28 minutes
• Self-Paced
• Paid Course

jamovi for Data Analysis - Full Tutorial

3 ratings

Comprehensive tutorial on using jamovi for data analysis, covering data wrangling, exploration, statistical tests, regression, and factor analysis. Ideal for beginners transitioning from SPSS to R-based analytics.

• freeCodeCamp
• 4-5 hours
• Self-Paced
• Free Video

SAP Data Science & ML for SAP Consultants

302 ratings at Udemy

Master ML and Data Science on SAP Data: Ultimate Hands-On Techniques for Insightful Analysis

• Udemy
• 1 day 2 hours 24 minutes
• Self-Paced
• Paid Course

Statistics with R - Advanced Level

222 ratings at Udemy

Mastering advanced statistical analyses in R: from ANCOVA to logistic regression, multidimensional scaling, factor analysis, cluster analysis, and discriminant analysis. Gain expertise in sophisticated data scrutiny techniques.

• Udemy
• 4 hours 15 minutes
• Self-Paced
• Paid Course

A Beginners Guide to Data Science

201 ratings at Udemy

Build your mathematics and statistics foundations strongly & ensure your Data science fundas are in place!

• Udemy
• 1 day 17 hours 39 minutes
• Self-Paced
• Paid Course

NPTEL-NOC IITM

Traffic Analysis - Load Spectra Factor

Analyze traffic load spectra factors to understand vehicle impact on pavement design and performance in transportation engineering.

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

Bioinformagician

Introduction to Motif Discovery and Transcription Factor Binding Site Analysis

Comprehensive guide to motif discovery and transcription factor binding site analysis, covering basics, tools, and practical demonstrations using Homer software for ChIP-seq data analysis.

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

STAT 505: Applied Multivariate Statistical Analysis

Explore multivariate statistical methods, including t-tests, ANOVA extensions, dimension reduction, and clustering techniques. Learn to select, implement, and interpret analyses using SAS and Minitab.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

MMPM-006: Marketing Research

Explore marketing research techniques, from problem identification to advanced analytics, preparing you for data-driven decision-making in today's complex digital marketplace.

• Swayam
• 15 weeks
• Self-Paced
• Free Online Course

Personality and psychological growth

Explore personality psychology's core theories, from psychoanalysis to behaviorism, while understanding human uniqueness, psychological growth, and the interplay between genetics and life experiences.

• XuetangX
• Self-Paced
• Free Online Course

Simons Institute

Recent Progress in High-Dimensional Learning

Explore recent advancements in high-dimensional learning, covering factor analysis, phylogenetic reconstruction, and hidden Markov models, with applications in genetics and machine learning.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

MITCBMM

Learning What We Know and Knowing What We Learn - Gaussian Process Priors for Neural Data Analysis

Explore Gaussian process priors for neural data analysis, covering latent variable models, Bayesian inference, covariance kernels, and factor analysis. Gain insights into advanced techniques for understanding complex neural datasets.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video