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140.712.01
Advanced Data Science II

Location:
East Baltimore
Term:
2nd term
Department:
Biostatistics
Credits:
3 credits
Academic Year:
2019 - 2020
Class Times:
  • M W,  1:30 - 2:50pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor s:
Contact:
Stephanie Hicks
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:

This course is evaluated as follows:

  • 25% Homework 1
  • 25% Homework 2
  • 50% Final Project

Enrollment Restriction:

Enrollment restricted to 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:

shicks19@jhu.edu