bsa580 | Graduate

Statistical Business Analytics

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This course covers Statistical Business Analytics. The course includes the topics of analysis of variance, linear and logistic regression, preparing inputs for predictive models, and measuring model performance. This course is aligned to the SAS Statistical Business Analyst Using SAS, Regression and Modeling certification.

This graduate-level course is 6 weeks To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 6 weeks

topic title goes here

    Business Analytics Function & Regression

    • Produce correlations.
    • Perform multiple regression.
    • Investigate influential observations.
    • Deploy Predictive Business Analytics.

    Predictive Performance Analytics, Categorical Data

    • Perform exact tests.
    • Perform logistic regression.
    • Describe Predictive performance analytics in practice.

    Integration & Inputs for Predictive Model Performance

    • Discuss analytical challenges.
    • Perform parameter estimation.
    • Integrate Business Analytics.

    Trends & Measure Model Performance

    • Select Subsets.
    • Evaluate a series of models.
    • Discuss business analytics organizational challenges.

    Business Analytics & Statistics

    • Examine data distributions.
    • Perform simple tests of hypothesis.
    • Discuss analytics as a competitive edge.

    Analytics Guiding Principles & Analysis of Variance

    • Verify the assumptions of ANOVA.
    • Detect and analyze interactions between factors.
    • Explain Principles and Practices of Business Analytics.
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