Data Bias Courses and Certifications

Data Ethics: Making Data-Driven Decisions

572 ratings at LinkedIn Learning

Learn how to design computer algorithms to be more ethical when making complex decisions.

• LinkedIn Learning
• 1 hour 6 minutes
• On-Demand
• Free Trial Available

Institute for Pure & Applied Mathematics (IPAM)

Who Counts? Sex and Gender Configurations of "Persons Capable of Pregnancy"

Explore sex and gender configurations in data, focusing on the concept of "persons capable of pregnancy" and its implications for counting and categorization in research and policy.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Evelynn Hammonds - The Physician's Negro - IPAM at UCLA

Explore historical intersections of race, gender, and medicine in this thought-provoking talk on "The Physician's Negro" by Harvard scholar Evelynn Hammonds at UCLA's IPAM workshop.

• YouTube
• 40 minutes
• On-Demand
• Free Video

AI Strategy and Governance

225 ratings at Coursera

Explore AI strategies for business transformation, explainable AI, responsible governance, and organizational impact. Learn to recognize biases, ensure data privacy, and construct ethical AI frameworks.

• Coursera
• 9 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

Data Storytelling

Learn to craft compelling data narratives, from problem definition to visualization, enhancing your ability to communicate insights effectively and drive data-informed decision-making.

• Udacity
• 3 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Generative AI for Students: Ethics & Academic Integrity

Explore ethical AI use in academia, covering tools, applications, and integrity. Gain skills for responsible AI integration in research and writing while addressing key ethical concerns.

• Coursera
• 9 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Data Ethics

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

• DataCamp
• 1 hour
• On-Demand
• Free Trial Available

Alberta Machine Intelligence Institute

Data for Machine Learning

97 ratings at Coursera

Develop skills to prepare, engineer, and validate data for machine learning models. Learn to identify biases, improve generality, and enhance model accuracy through thoughtful feature engineering.

• Coursera
• 11 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Conquering Data Bias

Unlock your data's potential by learning to detect and mitigate bias for precise analysis and reliable models.

• DataCamp
• 2 hours
• On-Demand
• Free Trial Available

Inclusive Tech: Breaking Bias in Tech

125 ratings at LinkedIn Learning

Learn how to remove biases from products and build inclusive technology

• LinkedIn Learning
• 40 minutes
• On-Demand
• Free Trial Available

Navigating AI Through an Intersectional DEI Lens

29 ratings at LinkedIn Learning

Explore the complex, ever-evolving landscape of AI with an intersectional DEI lens.

• LinkedIn Learning
• 42 minutes
• On-Demand
• Free Trial Available

Generative AI Foundations: Ethics, Issues, and Limitations of Generative AI

17 ratings at Pluralsight

Explore the ethics, issues, and limitations of generative AI. Gain insights into AI models, examine case studies on ethical dilemmas, and learn about data bias, IP rights, deepfakes, and the impact on work and creativity.

• Pluralsight
• 29 minutes
• On-Demand
• Free Trial Available

Microsoft Future Ready: Ethics and Laws in Data and Analytics

Explore ethical and legal frameworks for data professionals, addressing challenges in Big Data, AI, and Analytics while emphasizing responsible practices and societal impact.

• FutureLearn
• 3 weeks, 5 hours a week
• On-Demand
• Paid Course

Australian Water School

Mainstreaming and Modelling

Explore gender considerations in water resource modeling, addressing gaps in implementing Dublin principles and SDGs for inclusive and sustainable water management practices.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Hands on Data and Algorithmic Bias in Recommender Systems

Explore data and algorithmic bias in recommender systems through real-world examples, practical use cases, and mitigation techniques. Gain hands-on experience with Jupyter notebooks using data from actual platforms.

• YouTube
• 2 hours 37 minutes
• On-Demand
• Conference Talk