Type
Course
CIFAL Honolulu - Data Lifecycle Course
Emplacement
Honolulu, Hawaii, United States of America
Date
-
Durée
116 Days
Zone du programme
Decentralize Cooperation Programme
Site internet
Prix
0.00 $US
Personne de référence de l'évenement
cifa@unitar.org
Partenariat
CIFAL Honolulu
Chaminade University
Inscription
Open-registration event
Mode de livraison
Face-to-Face
Langue (s)
English
Pilier
Population
Objectifs de l'événement
'-Identify and describe the stages of the data lifecycle. -Connect the stages of data lifecycle to real-world use cases -Conceptualize data science theory and practice as decision science, using the UN SDG to illustrate use cases for data-driven decision support -Analyze decision support use cases as example of data science processes and methods that are stages of the Data Lifecycle -Identify data forms and structures across domains of human knowledge including quantitative and social sciences, and the arts. -Explain opportunities and concerns surrounding the application of AI and ML to decision support -Describe and implement best practices in data visualization and storytelling for diverse audiences
Arrière plan
This course will use case studies presented by Chaminade and external experts to illustrate the application of the data lifecycle to major global challenges, framed around the United Nations Sustainable Development Goals (SDG, e.g., Climate Action, Health Equity, Gender Equity, Justice).
Objectifs d'apprentissage
'-Identify and describe the stages of the data lifecycle. -Connect the stages of data lifecycle to real-world use cases -Conceptualize data science theory and practice as decision science, using the UN SDG to illustrate use cases for data-driven decision support -Analyze decision support use cases as example of data science processes and methods that are stages of the Data Lifecycle -Identify data forms and structures across domains of human knowledge including quantitative and social sciences, and the arts. -Explain opportunities and concerns surrounding the application of AI and ML to decision support -Describe and implement best practices in data visualization and storytelling for diverse audiences
Contenu et structure
This course will include lectures, discussions, assignments, and a project that could be used for future classes and investigation
Méthodologie
The course will examine a broad range of types, forms and structures of data that humans use to transmit information and that can be analyzed and visualized to gain knowledge. We will address the role of AI and Machine Learning in decision support. Finally, we will engage with our data scientist identities as storytellers, exploring best practices and case studies in visualization.
Audience visée
College Students
Data Protection and Privacy
The personal data of participants applying for, registering for or participating in UNITAR's training courses and other events is governed by the Data Protection and Privacy Policy. By applying for, registering for or participating in this event, the participant acknowledges that he or she is, (or they are) aware of the policy and agree to its terms.