CS 1380
Last Updated
- Schedule of Classes - May 19, 2024 7:32PM EDT
- Course Catalog - May 19, 2024 7:07PM EDT
Classes
CS 1380
Course Description
Course information provided by the Courses of Study 2023-2024.
This course provides an introduction to data science using the statistical programming language R. We focus on building skills in inferential thinking and computational thinking, guided by the practical questions we seek to answer from data sets arising in medicine, economics and other social sciences. The course starts with essential R programming principles, and how to use R for data manipulation, visualization, and sampling. These techniques are then used to summarize and visualize real data sets, draw meaningful conclusions from those data, and assess the uncertainty surrounding those conclusions. Throughout the process, students will learn to develop hypotheses about their data, and use simulations and statistical techniques to test these hypotheses. The course also covers how to use the Tidyverse open-source R packages to clean and organize complex data sets, and create high quality graphics for data visualization.
When Offered Spring.
Distribution Category (MQR-AS, SDS-AS)
Comments Assumes basic high school mathematics. No calculus or programming experience required.
Regular Academic Session. Choose one lecture and one discussion. Combined with: INFO 1380, ORIE 1380, STSCI 1380
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Phillips Hall 219
- Jan 22 - May 7, 2024
Instructors
Kent, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- W Phillips Hall 407
- Jan 22 - May 7, 2024
Instructors
Kent, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- W Hollister Hall 362
- Jan 22 - May 7, 2024
Instructors
Kent, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- W Hollister Hall 362
- Jan 22 - May 7, 2024
Instructors
Kent, D
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Additional Information
Instruction Mode: In Person
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