- Schedule of Classes - February 7, 2022 7:27PM EST
- Course Catalog - February 7, 2022 7:14PM EST
Course information provided by the Courses of Study 2021-2022.
This course provides an introduction to data science using the statistical programming language R. We focus on building skills in inferential thinking and computational thinking, guided by the practical questions we seek to answer from data sets arising in medicine, economics and other social sciences. The course starts with essential R programming principles, and how to use R for data manipulation, visualization, and sampling. These techniques are then used to summarize and visualize real data sets, draw meaningful conclusions from those data, and assess the uncertainty surrounding those conclusions. Throughout the process, students will learn to develop hypotheses about their data, and use simulations and statistical techniques to test these hypotheses. The course also covers how to use the Tidyverse open-source R packages to clean and organize complex data sets, and create high quality graphics for data visualization.
When Offered Spring.
Distribution Category (MQR-AS, SDS-AS)
Comments No calculus or programming experience required.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- MTWRF Online Meeting
Instruction Mode: Online
This Online Winter Session class is offered by the School of Continuing Education and Summer Sessions. For details visit http://www.sce.cornell.edu/ws/courses/courses.php?v=2526
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