Course Overview
This course builds on the foundation established in DAS 105, focusing on advanced techniques for data wrangling, visualization, and analysis, along with an introduction to regression analysis. Students will work with real-world data through case studies and hands-on labs, gaining practical experience in cleaning, structuring, and visualizing data. Additionally, students will explore the theory and application of various regression techniques, including simple linear regression, multiple linear regression, and logistic regression. The course provides essential experience in using R as a powerful tool for data science.
DAS 105 or the equivalent, or permission of the instructor.
Program: Data Science
Credit: 3
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Contact
- Data Science
- Hall Memorial Building | N318
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- (202) 651-5000
- (202) 559-5622
Monday
9:00 am-5:00 pm
Tuesday
9:00 am-5:00 pm
Wednesday
9:00 am-5:00 pm
Thursday
9:00 am-5:00 pm
Friday
9:00 am-5:00 pm
