The College of Behavioral and Social Sciences wants to offer you the opportunity to gain important data science skills and earn elective credit. By building your resume with these valuable skills, you will become more marketable to employers.
BSOS233: Data Science for the Social Sciences (Fall 2019) 3 credits
Interested in understanding how Python can be used for data analysis? In BSOS233, students will be given an introduction to modern methods of data analysis for social scientists. This course emphasizes teaching students who have no previous coding experience how to analyze data and extract meaning in a social science context. Students will gain critical programming skills and learn inferential thinking through examples and projects with real-world relevance. Open to all BSOS majors or by permission of instructor.
BSOS330: Programming for the Social Sciences: Statistical Computing Using R (Fall 2019) 1 credit
R is an open-source programming language, specialized for statistical computing, and provides a variety of statistical and graphical techniques that might be relevant for any BSOS program, such descriptive statistics, linear and non-linear regression, text mining, image processing. The R language is increasingly often employed in advanced statistics and data analytics, offering a wide range of application packages for effective programming. This course introduces the R language and several powerful packages in form of lectures, worked-out examples, and group exercises. Open to all BSOS majors.
BSOS331: Python Programming for the Social Sciences (Spring 2020) 1 credit
Python has become the most powerful programming language in advanced statistics and data analytics. It includes expansive packages for data handling and processing, including the latest developments in machine learning, and offers Integrated Development Environments (IDE) for code development, testing, debugging, and graphical representation. In addition, python is deployed on virtually all high performance computing clusters, taking advantage of multi-processing, large memory, and GPU enhanced computing environments. This course offers a thorough introduction to python and those packages that are fundamental to data processing and analysis, image processing, natural language processing, machine learning. Open to all BSOS majors.