APP CHM C202
Data Management in Science
Applied Chemical Sciences · 4 units · Graduate courses (200-299)
(Formerly numbered 202.) Trains students for different aspects of data management in science. Topics include introduction and application of statistical tests, using Python to help sort data, and brief explanation of machine learning and its role in data analysis. With real-life examples and interactive in-class discussions, students are equipped with necessary data-management skills in both academic and industrial settings. Concurrently scheduled with course C102.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Recommended preparation: general coding experience in Python 3.
BruinTree reads · Recommended
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
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Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.





