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Understanding and Applying Linear Regression

Course Summary

Linear regression is a powerful tool, applicable in many common situations in business and data analysis. This course will cover both the theory and implementation of linear regression in Excel, Python, and R.


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    Course Syllabus

    Course Overview
    - 2m 2s

    —Course Overview 2m 2s
    Modeling Relationships Between Variables Using Regression
    - 32m 15s

    —Connecting the Dots Using Linear Regression 6m 26s
    —Reasons for Using Regression 6m 18s
    —Versatility of Regression 2m 46s
    —Regression as Machine Learning 5m 47s
    —Mean and Variance 3m 28s
    —Probability Distributions and the Bell Curve 7m 28s
    Understanding Simple Regression Models
    - 36m 14s
    Implementing Simple Regression Models in Excel
    - 30m 3s
    Implementing Simple Regression Models in R
    - 24m 49s
    Implementing Simple Regression Models in Python
    - 16m 38s
    Understanding Multiple Regression Models
    - 40m 47s
    Implementing Multiple Regression Models in Excel
    - 39m 28s
    Implementing Multiple Regression Models in R
    - 15m 1s
    Implementing Multiple Regression Models in Python
    - 15m 16s


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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