Data Management and Advanced R Programming
The growing availability of large amounts of data — obtained either through research or electronic capture of everyday activity — has been termed "big data". This course will provide advanced instruction in managing and manipulating big data with contemporary software in the different phases of data science: obtaining data, cleaning data, visualizing data, analyzing data and drawing conclusions. At the conclusion of this course, students will be able to:
- master data cleaning, preprocessing, and wrangling in R software; and
- implement basic programming in R to order to efficiently manipulate data.
Note: This is not an introductory R class and assumes working familiarity of R at the beginning of the course. It does, however, begin with an in-depth review of the basics of R.
Efstathios (Stathis) Gennatas, MBBS, PhD
Weekly lectures with demonstration and hands-on exercises. Sessions will be held on Wednesdays, 1:00 to 3:30 PM, January 8 through March 16.
In addition, all students will be required to submit a final project in which they manipulate, clean, and analyze data emanating from a large data source. Students will be given a choice of datasets and guidelines for performing the project.
All course materials will be posted on the course's online syllabus.
Students should install R (http://cran.r-project.org/). Accounts can be established at https://rstudio.cloud/.
Grades will be based on the final project and project presentation.
Students not in full-year TICR Programs who satisfactorily pass all course requirements will, upon request, receive a Certificate of Course Completion.
To apply for this course, please fill out and submit the application below. Please see our fee page for cost information. The deadline for application is January 7, 2020. Only one application needs to be completed for all courses desired during the quarter.
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Information for how to pay;
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