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140.712.01
Advanced Data Science II

Location:
East Baltimore
Term:
2nd term
Department:
Biostatistics
Credits:
3 credits
Academic Year:
2021 - 2022
Instruction Method:
Asynchronous Online with Some Synchronous Online
Class Times:
  • M W,  1:30 - 2:50pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Contact:
Roger Peng
Resources:
Prerequisite:

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. Critique a data analysis and separate good from bad analysis
  2. Produce a complete data analysis
  3. Produce the components of a data analytic paper
  4. Produce the components of a statistical methods paper
  5. Produce the components of a data analytic presentation for technical and non-technical audiences
  6. Identify key issues in data analytic relationships
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:

rdpeng@jhu.edu

Special Comments:

Please note: This is the onsite section of a course that is also offered virtually. Students will need to commit to the modality for which they register.