Authors
Dr. Mark
Keith, PhD
Brigham Young University
This module will introduce students to the first step in the data mining process after data is acquired—exploratory data analysis. This includes univariate statistics (e.g., mean, median, mode, quartiles, skewness, kurtosis) and visualizations (histograms and box plots) as well as bivariate statistics (correlation, t-tests, one-way ANOVAs, chi-squared) and visualizations (scatterplots, barplots, heatmaps, and crosstabs). This module is ideal to prepare students for data cleaning and predictive modeling.
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Any Device, Any Location
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Advanced Analytics
Monitor the progress of your class collectively as well as students individually. -
Flashcards
Flashcards are a great way to learn the key terms. Each course comes pre-loaded with cards for every term. -
Searchable Glossary
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Highlights and Notes
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Text, Video, Audio, Assessments
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