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MAIN CATEGORY(S) OF THIS COURSE
ABOUT THIS COURSE
Learn the methods and strategies for using educational data at scale to improve education and make discoveries about learning.
DESCRIPTION
Course Topics
Key methods for mining educational data How to apply methods using Python's built-in machine learning library, scikit-learn How to apply methods using standard tools like RapidMiner How to use methods to answer practical educational questions Minimize what you'll learn
CHARACTERISTICS OF THIS COURSE
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Course language:English with English subtitles
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Created by:University of Pennsylvania
Advantages
Highlights of edX Courses
+ 24 million
of students from all over the world are educated on the e-learning platform.
FOUNDERS
The Massachusetts Institute of Technology MIT and Harvard University launch edX in 2012.
Educational quality
The most prestigious universities and leading companies in the world offer their courses on edX.
Micro Masters
2019 QS Reimagine Education Award Winner
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Other relevant data
ryan baker
Associate professor
University of Pennsylvania
FAQs
METHODOLOGY
LEVEL OF STUDY
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COOKING CLASS DETAILS
- DIFFICULTY: Expert
- STUDY TIME (est): 8 weeks (6–12 hours per week)
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