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Understanding and Applying Factor Analysis and PCA

Course Summary

Factor Analysis and PCA are powerful tools, applicable in many common situations in business and data analysis. This course covers both the theory and implementation of factor analysis and PCA, in Excel (using VBA), Python, and R.


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    Course Syllabus

    Course Overview
    - 1m 56s

    —Course Overview 1m 56s
    Introducing Factor Analysis and PCA
    - 38m 16s

    —Cutting Through Clutter with Factor Analysis 4m 36s
    —Linear Regression and Factor Analysis 2m 55s
    —What and How: Factor Analysis and PCA 4m 36s
    —Two Approaches to Factor Extraction 5m 27s
    —Mean and Variance 5m 22s
    —Covariance and Correlation 5m 41s
    —Random Variables and Matrix Operations 4m 34s
    —The Intuition Behind PCA 5m 3s
    Understanding Factor Analysis and PCA
    - 34m 2s
    Implementing Factor Analysis and PCA in Excel and VBA
    - 38m 32s
    Implementing Factor Analysis and PCA in R
    - 21m 53s
    Implementing Factor Analysis and PCA in Python
    - 20m 29s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source , Development & Implementations and Data & Information Management Community

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