140.711.01
Advanced Data Science I
Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2017 - 2018
Instruction Method
TBD
M, W, 1:30 - 2:20pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Course Instructor(s)
Jeffrey Leek
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
R programming experience
Provides an intensive introduction to applied statistics and data analysis. Trains students to become data scientists capable
of both applied data analysis and critical evaluation of the next generation next generation of statistical methods. Since both data analysis and methods development require substantial hands-on experience, focuses on hands-on data analysis.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Obtain, clean, transform, and process raw data into usable formats
- Formulate quantitative models to address scientific questions
- Organize and perform a complete data analysis, from exploration, to analysis, to synthesis, to communication
- Apply a range of statistical methods for inference and prediction
Final grade applies to all terms
Enrollment Restriction
Biostatistics 2nd-year PhD and 2nd-year master's students only
One 1-hour lab per week (time TBA)