CS 1380
Last Updated
- Schedule of Classes - June 7, 2023 8:54PM EDT
- Course Catalog - June 7, 2023 7:14PM EDT
Classes
CS 1380
Course Description
Course information provided by the Courses of Study 2022-2023.
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 Thurston Hall 205
- Jan 23 - May 9, 2023
Instructors
Basu, S
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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 Upson Hall 216
- Jan 23 - May 9, 2023
Instructors
Basu, S
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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 Upson Hall 206
- Jan 23 - May 9, 2023
Instructors
Basu, S
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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 Upson Hall 102
- Jan 23 - May 9, 2023
Instructors
Basu, S
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Additional Information
Instruction Mode: In Person
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