Data Bias Courses and Certifications

Conquering Data Bias

235 ratings at DataCamp

The Importance of Addressing Bias in Data With this engaging course, unlock the power of data by conquering bias in your datasets.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Data Responsibility

13 ratings at Coursera

Identify confirmation, interpretation, and observer bias in data, judge source credibility, and explore open data, data ethics, data privacy, and the benefits of anonymizing data.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Artificial Intelligence Data Fairness and Bias

126 ratings at Coursera

Explore fairness in machine learning: define parity in different scenarios, build models that avoid unfair predictions, and remove human bias from data collection and attribute selection.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Introduction to Data Ethics

2551 ratings at DataCamp

Explore the Basics of Data Ethics This introductory course on data ethics will provide learners with the essentials of data ethics concepts and what they mean in practice- be it in business, R&D, or for societal benefit.

• DataCamp
• 1 hour
• Self-Paced
• Free Trial Available

Responsible AI Data Management

1180 ratings at DataCamp

Artificial Intelligence (AI) and data are everywhere.

• DataCamp
• 1 hour
• Self-Paced
• Free Trial Available

Prepare Data for Exploration

23395 ratings at Coursera

You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Data Storytelling

1 rating at Udacity

Learn to turn data analysis into stakeholder recommendations by defining problem statements, mapping analyses with issue trees and ghost decks, addressing bias, and designing effective visualizations.

• Udacity
• 17 hours
• Self-Paced
• Paid Course

Unlock the full potential of data-informed decision-making in this hands-on track.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Clinical Data

517 ratings at Coursera

Construct analysis-ready datasets from patient timelines, mine clinical data from healthcare systems, handle unstructured text, images and signals, do electronic phenotyping, and confront fairness and bias.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Gather and Trust the Right Data

Learn to acquire trustworthy data for decisions by planning targeted searches, designing simple A/B tests, choosing meaningful metrics, and assessing data quality and bias.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Analyze Data and Avoid Common Pitfalls

Build manager-friendly analytical thinking to question model assumptions, spot bias in trends, and turn data into realistic decisions.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Politics and Ethics of Data Analytics in the Public Sector

18 ratings at Coursera

Examine the ethics and politics of public sector data: codes of ethics, participation bias, slicing analysis of predictive models, and a pensions policy options case study.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Inclusive Analytic Techniques

99 ratings at Coursera

Gender-neutral policies have gendered outcomes: analyze gender-disaggregated data with probability and hypothesis testing, run community-based qualitative research, and handle data collection ethics.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Data Science Ethics

4 ratings

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

• edX
• 4 weeks, 3-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Ethical Issues in Data Science

53 ratings at Coursera

Examine ethical issues in data science: apply deontology, virtue ethics and utilitarianism to privacy, security, workplace codes, algorithmic bias, facial recognition and medical AI.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course