STATS 202A

Statistics Programming

Description: Lecture, three hours. Topics include programming environments/languages such as UNIX, UNIX shell, Python, R, and Processing and data technologies/formats such as relational databases/SQL and XML, with emphasis on complex data types, including large collections of textual data, GPS traces, network logs, and various online sources. S/U or letter grading.

Units: 4.0
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Frederic Paik Schoenberg

Overall Rating 5.0
Easiness 4.0/ 5
Clarity 5.0/ 5
Workload 3.0/ 5
Helpfulness 5.0/ 5
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Frederick Paik Schoenberg

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
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Yingnian Wu

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
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Ying Nian Wu

Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
Workload N/A/ 5
Helpfulness N/A/ 5
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