Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0043
Organization's ID:
567
Organization:
Statistics.com
Location:
Online
Length:
4 weeks
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 1 Data Science
Description

Objective:

The course objective is to explore the ethical and practical considerations of data science. Students learn about the importance of responsible data science, interpretability of models, and processes to ensure ethical standards are met. Practical assignments each week will reinforce the concepts taught.

Learning Outcomes:

  • Understand the importance and implications of responsible data science.
  • Learn about different types of harms and legal considerations in data science.
  • Assess and audit data science projects for bias and interpretability.
  • Explore interpretability and its significance as an ethical issue.
  • Apply the Responsible Data Science (RDS) Framework to enhance standard practices.

General Topics:

  • Review of Predictive Modeling
  • Why Responsible Data Science?
  • Interpretability
  • The Responsible Data Science (RDS) Process
  • The Audit
Instruction & Assessment

Instructional Strategies:

  • Discussion
  • Lectures
  • Textbook readings

Methods of Assessment:

  • Other
  • Graded practical exercises and discussion forums

Minimum Passing Score:

73%
Supplemental Materials