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Course Catalog

140.712.01 Advanced Data Science II

Department:
Biostatistics
Term:
2nd term
Credits:
3 credits
Academic Year:
2017 - 2018
Location:
East Baltimore
Class Times:
  • M W,  1:30 - 2:20pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Jeffrey Leek
Course Instructors:
Resources:
Prerequisite:

R programming experience; 140.711

Description:

Builds on Advanced Data Science I by introducing the idea of data products and encouraging students to build products based on their data analyses.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Obtain, clean, transform, and process raw data into usable formats
  2. Formulate quantitative models to address scientific questions
  3. Organize and perform a complete data analysis, from exploration, to analysis, to synthesis, to communication
  4. Apply a range of statistical methods for inference and prediction
Methods of Assessment:

Four data analysis projects (25% each)

Enrollment Restriction:

Biostatistics 2nd-year PhD and 2nd-year master's students only

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for anyone who is not a Biostatistics 2nd-year PhD or 2nd-year master's student

For consent, contact:

jtleek@gmail.com

Special Comments:

One 1-hour lab per week (time TBA)