University of California, Los Angeles 4 credits Applied Chemical Sciences
(Formerly numbered 202.) Lecture, four hours. Recommended preparation: general coding experience in Python 3. 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.
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