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Justice in Data: Preparing undergraduate researchers for success

15 modules

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.

Features
Type Course
Level Foundation
Length 7 days
Topics python
FAIR Data

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Modules

  • 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.

  • Justice in Data: FAIR Data Principles

    Module 2

  • Justice in Data: Data Management and Analysis

    Module 3

  • Justice in Data: Introduction to Python Programming

    Module 4

  • Justice in Data: Data Access

    Module 5

  • Justice in Data: Introduction to Databases and Data Storage

    Module 6

  • Justice in Data: Principles of Interoperability

    Module 7

  • Justice in Data: Metadata Creation

    Module 9

  • Justice in Data: Data Usage Licensing

    Module 10

  • Justice in Data: Data Preprocessing

    Module 11

  • Justice in Data: Data Anlytics

    Module 12

  • Justice in Data: Data Visualization

    Module 13

  • Justice in Data: Introduction to Machine Learning

    Module 14

  • Justice in Data: Machine Learning Algorithms

    Module 15

  • Justice in Data: Coding practice for ML

    Module 16

Instructor

Jessica Eisma avatar

Jessica Eisma

16 modules
Junaid Ahmad avatar

Junaid Ahmad

16 modules
June Young Park avatar

June Young Park

16 modules
Sharma Chakravarthy avatar

Sharma Chakravarthy

16 modules

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