DAS 110 Introduction to Data Science II
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.
Prerequisite
DAS 105 or the equivalent, or permission of the instructor.
Distribution
Bachelors, In-Person, Major, Online, Undergraduate