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Course Description
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Course Name
Visual Analytics Bootcamp
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Host University
Queen Mary, University of London
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Location
London, England
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Area of Study
Engineering Science and Math, Mathematics, Statistics
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Language Level
Taught In English
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Course Level Recommendations
Upper
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
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UK Credits
15 -
Recommended U.S. Semester Credits4
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Recommended U.S. Quarter Units6
Hours & Credits
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Overview
Course description:
This course is centred on hands-on projects to provide students with practical experience.
The range of data examples are general and cover a broad range of subject areas and industries.
The course covers the following broad areas:
1) Acquisition and preparation of data. EDA. Basic Visualizations. Best practices.
2) Visual Analytics of geospatial data (geographical data, MRI scan data)
3) Time series data. Visualization of trends, seasonalities and cycles. Possible applications to medical data (eg. apnea incidence, brain signals) or social media sentiment analysis. Building interactive dashboards and reporting results.
The module aims to equip students with practical skills in data analysis and visualization techniques essential for extracting actionable insights from complex datasets. The real-world oriented lab sessions and project will help students learn about in exploratory data analysis, geospatial visualization, and interactive dashboard development. Students will gain skills that are highly valued across a wide set of academic and business fields.