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Advanced Data Analytics for Organizations


Dr. Douglas Dean, PhD
Brigham Young University


Nathan Dayton
Brigham Young University
Jeremy Ni
Brigham Young University
Michael Shim
Brigham Young University
Edition 1
(rev. 2583)

By the end of the semester, you should:

  • Describe and visualize data using industry standard data visualization programs.
  • Create predictive models for forecasting, numeric prediction, classification prediction.
  • Validate predictive models using statistical measures
  • Understand comparative strengths and weakness of predictive algorithms
  • Use and validate clustering and segmentation methods
  • Any Device, Any Location, Any Time

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  • Embedded, Customizable Assessments

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  • Advanced Analytics

    Monitor the progress of your class collectively as well as students individually. Course analytics provide you with student engagement and performance in reading, videos, and assessments. Analytics help you focus directly on those topics or students that need it.
  • Flashcards

    Flashcards are a great way to learn the key terms. Each course comes pre-loaded with cards for every term. Students can also make their own to enhance their learning experience.
  • Searchable Glossary

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  • Highlights and Notes

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  • Text, Video, Audio, Assessments

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