Justice in Data: Preparing undergraduate researchers for success
About
A module-based weeklong (or self-paced) bootcamp designed for undergraduate researchers that focuses on FAIR data principles and machine learning techniques in the Python programming language. The content is wrapped within an engineering research justice context.
Registration is required to access materials.
Modules
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Justice in Data: Engineering & Data Justice
Module 1 • 7 days
A module-based weeklong (or self-paced) bootcamp designed for undergraduate researchers that focuses on FAIR data principles and machine learning techniques in the Python programming language. The content is wrapped within an engineering research justice context.
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Justice in Data: FAIR Data Principles
Module 2
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Justice in Data: Data Management and Analysis
Module 3
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Justice in Data: Introduction to Python Programming
Module 4
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Justice in Data: Data Access
Module 5
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Justice in Data: Introduction to Databases and Data Storage
Module 6
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Justice in Data: Principles of Interoperability
Module 7
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Justice in Data: Metadata Creation
Module 9
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Justice in Data: Data Usage Licensing
Module 10
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Justice in Data: Data Preprocessing
Module 11
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Justice in Data: Data Anlytics
Module 12
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Justice in Data: Data Visualization
Module 13
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Justice in Data: Introduction to Machine Learning
Module 14
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Justice in Data: Machine Learning Algorithms
Module 15
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Justice in Data: Coding practice for ML
Module 16