Introduction to Computing for Data Analysis and Visualization
York University · ON · LE/EECS1520
Introduction to Computing for Data Analysis and Visualization is a subject at York University, ON in LE/EECS. It covers topics like computational-mathematics, data-analytics, data-science, statistical-computing. It is part of 14 degrees. The information below is compiled from public course material — approximate, not official.
York University
LE/EECS1520
3.00
LE/EECS
Topics covered
Degrees that include Introduction to Computing for Data Analysis and Visualization
- Biochemistry
- Biology
- Chemistry
- Environmental Biology
- Environmental Science
- Global Health
- Kinesiology & Health Science
- Movement and Health
- Neuroscience
- Neuroscience
- Psychology
- Science
- Science
- Science, Technology and Society
Frequently asked questions
What is Introduction to Computing for Data Analysis and Visualization about?
Introduction to Computing for Data Analysis and Visualization covers topics like computational-mathematics, data-analytics, data-science, statistical-computing.
Which degrees include Introduction to Computing for Data Analysis and Visualization?
Introduction to Computing for Data Analysis and Visualization is part of 14 degrees, including Biochemistry, Biology, Chemistry, Environmental Biology, Environmental Science.
How many credit points is Introduction to Computing for Data Analysis and Visualization?
Introduction to Computing for Data Analysis and Visualization at York University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introduction to Computing for Data Analysis and Visualization taught?
Introduction to Computing for Data Analysis and Visualization is taught at York University, ON.
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Sources: York University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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