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EESC BC3050 Big Data with Python: Python for Environmental Analysis and Visualisation. 3 points.
Big Data is changing how we interact with and understand the environment. Yet analyzing Big Data requires new tools and methods. Students will learn to use Python programming to analyze and visualize large environmental and earth's systems data sets in ways that Excel is not equipped to do. This will include both time series and spatial analyses with programming occurring interactively during class and assignments designed to strengthen methods and results. Students will learn to write code in Python, plot, map, sub-select, clean, organize, and perform statistical analyses on large global scale data sets, using the data in analysis, and take any data set no matter how large or complicated.
Fall 2022: EESC BC3050
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Course Number | Section/Call Number | Times/Location | Instructor | Points | Enrollment |
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EESC 3050 | 001/00641 | M W 8:40am - 9:55am 222 Milbank Hall |
Brian Mailloux | 3 | 2/20 |
EESC 3050 | 002/00642 | M W 10:10am - 11:25am 222 Milbank Hall |
Brian Mailloux | 3 | 2/20 |