Course Curriculum
| Introduction | |||
| Welcome_Excel | 00:00:00 | ||
| What you should know before watching this course_Excel | 00:00:00 | ||
| Exercise files_Excel | 00:00:00 | ||
| Problems Raised by Massive Amounts of Data | |||
| Observation overkill_Excel | 00:00:00 | ||
| Rationale for clustering_Excel | 00:00:00 | ||
| Rationale for PCA_Excel | 00:00:00 | ||
| An Overview of Principal Components Analysis | |||
| Using R to extract principal components_Excel | 00:00:00 | ||
| Rotating factors_Excel | 00:00:00 | ||
| Using R to extract principal components_Excel | 00:00:00 | ||
| An Overview of Cluster Analysis | |||
| ANOVA and MANOVA reviewed_Excel | 00:00:00 | ||
| Causation and probability_Excel | 00:00:00 | ||
| Multivariate nature of clustering_Excel | 00:00:00 | ||
| Using R for cluster analysis_Excel | 00:00:00 | ||
| Using Excel for cluster analysis_Excel | 00:00:00 | ||
| Setting up confusion tables in Excel_Excel | 00:00:00 | ||
| Putting it together: Using Cluster Analysis and Factor Analysis in Concert | |||
| Clusters and factors_Excel | 00:00:00 | ||
| Pivot table analysis_Excel | 00:00:00 | ||
| Conclusion | |||
| Next Steps_Excel | 00:00:00 | ||
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