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5.0
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5.0
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1,000
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99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EPPS 6356 Karl Ho | |||||
A | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EPPS 6356 Karl Ho | |||||
A | |||||
Grades: 832
Median GPA: A-
Mean GPA: 3.596
3.9
Professor rating
3
Difficulty
14
Ratings given
100%
Would take again
Data Visualization
EPPS 6356
School of Economic, Political and Policy Sciences
This course builds data literacy through communicating data patterns, findings and insights via visual representation of data. This course is designed to equip data scientists with data theory, principles and concepts of visualizing data and best practices in visual data analytics. Students will learn the programming tools in generating charts, animated data and interactive contents. Programming languages include R, Python, JavaScript, HTML, and CSS. 3 credit hours.
Offering Frequency: Each year
Grades: 175
Median GPA: A
Mean GPA: 3.768
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Grades: 832
Median GPA: A-
Mean GPA: 3.596
3.9
Professor rating
3
Difficulty
14
Ratings given
100%
Would take again
Data Visualization
EPPS 6356
School of Economic, Political and Policy Sciences
This course builds data literacy through communicating data patterns, findings and insights via visual representation of data. This course is designed to equip data scientists with data theory, principles and concepts of visualizing data and best practices in visual data analytics. Students will learn the programming tools in generating charts, animated data and interactive contents. Programming languages include R, Python, JavaScript, HTML, and CSS. 3 credit hours.
Offering Frequency: Each year
Grades: 175
Median GPA: A
Mean GPA: 3.768
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