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
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Pricing
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Access to course materials

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Access to graded materials

Not available

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Receive a final grade

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Earn a shareable Course Certificate

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Ratings and Reviews
Rated 4.2 out of 5 of 1,957 ratings

Learned a lot, but instructions were often very unclear, especially in the final week. Luckily there were a lot of students who shared their approach of the final project on the discussion board, so it was easier to figure out what we were supposed to be doing. Without this input, I don't think I could have made it through this course. But overall, I felt really challenged and more ready to approach real world problems.

Great. Thank you. Keep going

More respect after the course than before, as I thought this would be a pretty easy Excel course, but finishing it called lot of real work and statistical and modelling understanding.

Really amazing course. I enjoy it. The only thing is that videos should be more explicit and deeper in the difficult topics.