Created by:   Duke University

  • Jana Schaich Borg

    Taught by:    Jana Schaich Borg, Assistant Research Professor

    Social Science Research Institute

  • Daniel Egger

    Taught by:    Daniel Egger, Executive in Residence and Director, Center for Quantitative Modeling

    Pratt School of Engineering, Duke University
Basic Info
Commitment6 weeks, 8-10 hours per week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.2 stars
Average User Rating 4.2See what learners said
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Syllabus

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Coursework
Coursework

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Duke University
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Ratings and Reviews
Rated 4.2 out of 5 of 1,896 ratings

Good course, bit disjointed at times and some of the maths is rushed through, or not really relevant. Not sure I need proofs on why standardising figures results in easier to use data, maybe just show us how to do the analysis and apply it to more examples in real life.

I enjoyed the class even though I felt it was a little over my head. I learned a lot about the processes involved in doing this work.

Solid class focused on the mechanics of building and evaluating binary classification models using Excel

The course is both tough and interesting. The interesting bit comes from developing a model for a credit card company, which is a rather creative and captivating process. The tough part is in hectic learning of a vast array of statistical terms, often poorly explained – and alost never applied to practice (it is true that some of statistical metrics are "applied" in quizzed but it is unclear what's their purpose besides computing yet another number).