140.712.01
Advanced Data Science II
- Location:
- East Baltimore
- Term:
- 2nd term
- Department:
- Biostatistics
- Credits:
- 3 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- In-person
- Class Times:
-
- Tu Th, 1:30 - 2:50pm
- Auditors Allowed:
- No
- Undergrads Allowed:
- No
- Grading Restriction:
- Letter Grade or Pass/Fail
- Course Instructor:
- Contact:
- Brian Caffo
- Resources:
- Prerequisite:
- 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:
- Critique a data analysis and separate good from bad analysis
- Produce a complete data analysis
- Produce the components of a data analytic paper
- Produce the components of a statistical methods paper
- Produce the components of a data analytic presentation for technical and non-technical audiences
- 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:
- 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.