Maritime Data Analytics
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Program Learning Objectives
- LO1: Understand basic concepts for using data science in maritime research applications.
- LO2: Understand key data types, databases, analysis tools, and precursors.
- LO3: Discuss, analyze, and understand exploratory data analysis and role of data workflow, data visualization, and ML modeling.
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Desired Outcome for Learners
- Ability to offload/upload UMS data into analysis environments
- Ability to perform geospatially-enabled climate data analysis using QGIS and Weka
- Ability to develop and use customized interactive dashboards for climate change and oceanographic analysis
What's included?
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Pre-Assessment Survey
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8 Online Modules
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8 Knowledge Checks
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Summary Documentation
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Hands-On Application Activity
Online Format
Participants learn the fundamentals of Machine Learning (ML) and explore various ML model performance using GUI-based (in the introductory and intermediate stages).
Interactive Demos and Exercises
After completing the online introduction, participants proceed to the more Hands-On training with video demonstrations and application of machine learning concepts using real data sets.
Meet the Director of RDT&E and Training
Jason R. McKenna, Ph.D., PG
Dr. Jason McKenna is the director of research, development, testing, evaluation and training (RDTE&T) at the Roger F. Wicker Center for Ocean Enterprise
Patrick Jones - Course author
Course Lessons
Ocean Enterprise, USM Marine Research Center, 1030 30th Avenue, Gulfport, MS 39501
Phone number: 228-214-9010
Phone number: 228-214-9010