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Advanced Data Analytics for Organizations

Authors

Dr. Douglas Dean, PhD
Brigham Young University

Contributors

Nathan Dayton
Brigham Young University
Jeremy Ni
Brigham Young University
Michael Shim
Brigham Young University

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

    The course reader looks great on desktops, laptops, tablets, phones, and just about any other device.

  • 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

    A searchable glossary is available at any point in the course reader.

  • Highlights and Notes

    Students can highlight the text and make notes throughout the content using their touch screen or mouse.

  • Text, Video, Audio, Assessments

    Course content is provided in multiple ways, allowing your students to learn the way they learn.