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Enrollment Open!
Data Science Ethics
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Developed by  Dr. Rebecca Barter

Data science has the power to drive innovation and solve complex problems, but with great power comes great responsibility. Ethical considerations must be at the forefront of every data science project to ensure fairness, transparency, and accountability. This course explores the critical ethical challenges of collecting, sharing, and analyzing data, helping you navigate the trade-offs and complexities of real-world data science work. Through real case-studies and thought-provoking examples, you will develop the skills to approach data science with integrity and care.
Open Enrollment
Self-paced
2 Skills Developed
Online, Self-Paced
$149
Enroll Now
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What you'll learn

1
Apply ethical principles to data collection, ownership, and sharing.
2
Evaluate and mitigate data security, privacy risks, and algorithmic bias.
3
Develop strategies for building and leading ethical, transparent data science teams.

Supported Careers

Get ready to excel in these roles after taking this program.

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    Data Analyst
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    Data Scientist
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    Business Analyst
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Includes

2 skills developed
Project visibility to hiring managers
Real feedback from moderators
Portfolio artifacts to keep forever
Hands-on projects to apply learnings
Lifetime access to course materials
Insights into your skill gaps

Skills Developed

These are just some of the exciting skills you will develop through the experience.

  • Collecting and Sharing Personal Data
  • Automated Decision-Making

About the skill experiences

Understand ethical data collection and sharing

Learn how to navigate the complexities of collecting and sharing personal data responsibly, including obtaining informed consent and safeguarding privacy.

Evaluate algorithmic fairness and transparency

Discover strategies for assessing the fairness and explainability of automated decision-making systems and their impact on diverse groups.

Address privacy and security challenges

Explore best practices for protecting sensitive data from unauthorized access while balancing the need for meaningful insights.

Develop practical tools for ethical data science

Create checklists and frameworks to guide ethical decision-making in data collection, sharing, and algorithm development.

Become visible to Hiring Managers with Headlamp

This course lets you build portfolio artifacts alongside our expert instructors. Headlamp shares your portfolio with Hiring Managers looking for your new skill.
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About the Skill Experience Developers:

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Dr. Rebecca Barter

Dr Barter is a Research Assistant Professor at the University of Utah. She is a programmer, data scientist, and statistician with over a decade of experience practicing and teaching data science. She is the co-author of the book “Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making” (www.vdsbook.com) and the author of a popular data science blog (www.rebeccabarter.com).

How Headlamp Works
    Master a most-wanted skill
    Dive into a skill that’s at the top of every Employer’s list. Headlamp makes learning easy with interactive modules and 100% human-support.
    Build a portfolio
    Stand out by documenting your journey through any path. We’ll help you craft a portfolio alongside our expert instructors.
    Get matched with Employers
    Headlamp showcases your portfolio to eager Employers, making entry into the job market as smooth as possible.