An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of several topics including statistical data analysis, basic data mining and machine learning algorithms, large-scale data management, cloud computing, and information visualization.
Average rating: 5.00
Average rating: 4.80
Average rating: 3.73
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Average rating: 1.00
Average GPA: 3.20 between 1,056 students
"W"s are considered to be 0.0 quality points. "Other" grades are not factored into the average GPA calculation.