Big Data with Python
1:10pm–2:25pm
MILSTEIN CENTER MLC LL001
Barnard
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
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 earths 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
Reviews
Course experience
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Instructor quality
n=13, 2007–2025
Aggregated across every course Brian Mailloux has taught.
Teaching quality
4.5 / 5
Grading fairness
No signal
Workload
4.5 / 5 · Very heavy
Difficulty
3.6 / 5 · Hard
Overall sentiment
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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