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Actionable Ethics for Data Scientists - Emily Miller

Offered By: Open Data Science via YouTube

Tags

Ethical Decision-Making Courses Data Analysis Courses Data Storage Courses Data Collection Courses Data Modeling Courses

Course Description

Overview

Explore actionable ethics for data scientists in this 39-minute conference talk by Emily Miller, a Data Scientist at DrivenData. Gain insights into the importance of data ethics, understand the challenges faced in the field, and learn how to implement an ethics checklist in your data science projects. Discover practical examples and best practices for ethical considerations in data collection, storage, analysis, and modeling. Equip yourself with valuable resources and tools to navigate the complex landscape of data ethics and maximize the positive impact of your work in the data science industry.

Syllabus

Introduction
About Driven Data
Agenda
Definition
Ethics is hard
Why does data ethics matter
The problem with data ethics
An ethics checklist
Checklist Sections
Checklist Examples
Data Collection
Data Storage
Analysis
Modeling
Conclusion
Questions
Resources


Taught by

Open Data Science

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