1010. Data Science and Society Using R
Also offered as: STAT 1010
3.00 credits
Prerequisites: Not open to students who have passed STAT 3215Q or STAT 3675Q.
Grading Basis: Graded
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.
View Classes »1995. Special Topics
1.00 - 4.00 credits | May be repeated for credit.
Prerequisites: None.
Grading Basis: Graded
May be repeated with a change in topic.
View Classes »4815. Applied Data Analysis Capstone
3.00 credits
Prerequisites: STAT 3255. Not open for credit for students in the Bachelor of Science in Statistical Data Science program.
Grading Basis: Graded
Development and execution of student-led research projects: Problem formulation; integration of statistics, computing, and domain knowledge; collaboration; communication; reproducibility; project management.
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