Statistical Data Science and Analysis (DSDA)
DSDA 1010. Data Science and Society Using R. (3 Credits)
(Also offered as STAT 1010.) Foundational principles and societal impacts of data science, exposing students to what data science can do and informing them about the knowledge needed for further study. Students will be introduced to the R statistical programming language. They will develop essential skills in data/computer/programming literacy, basic statistical analysis, and visualization while exploring real-world data science issues, preparing them for future studies and careers in data-driven workforce.
Enrollment Requirements: Not open to students who have passed STAT 3215Q or STAT 3675Q.
Content Areas: CA3: Science & Technology
Topics of Inquiry: TOI6: Science & Empirical Inq
DSDA 1995. Special Topics. (1-4 Credits)
May be repeated with a change in topic.
May be repeated for credit
DSDA 4815. Applied Data Analysis Capstone. (3 Credits)
Development and execution of student-led research projects: Problem formulation; integration of statistics, computing, and domain knowledge; collaboration; communication; reproducibility; project management.
Enrollment Requirements: STAT 3255. Not open for credit for students in the Bachelor of Science in Statistical Data Science program.