Course Information:
Foundations of Data Analytics
(80415)
This course introduces a variety of modeling and analytic methods using data to describe, diagnose, predict, and prescribe real-world decisions and processes. Students will learn basic skills in Excel and R to prepare data to conduct statistical analyses, such as testing hypotheses and forecasting. Students will know how to import data and conduct regression analysis in Excel and R. They will have experience with Excel and R data visualization tools. They will learn about linear and nonlinear models and how to select a model that best fits the data based on the visual representation of past data and logical intuition. They will also learn about different spreadsheet modeling analyses for business outcomes, linear optimization models for business, and strategy-based decision analysis. Preliminary supplemental materials for Excel and R are available to prepare students for this course.
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Required Materials: |
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Not Yet Available
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Technical Requirements: |
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Not Yet Available
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Pre-Requisite: |
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(( with minimum grade: ))
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Link to View/Purchase Book: |
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Course Attributes: |
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1. Asynchronous
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