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|CS 17600 - Data Engineering In Python|
Learning Outcomes: 1. Write Python code using loops, decision statements, and functions. 2. Explain how arguments are passed in Python functions and how the scope of variables impacts execution. 3. Use the operations on lists, tuples, and dictionaries to perform appropriate data manipulations. 4. Using Matplotlib, create informative plots and other data visualizations. Explain the key qualities of good visualizations. 5. Creating and manipulating DataFrames using Pandas. 6. Create Python code as well as methods in Pandas to select, search, change, and summarize data in tables. 7. Explain how to identify and fill in missing values in data. 8. Apply Pandas functions combine and merge datasets, perform a range of data aggregations, groupings and cross tabulations. 9. Given multiple data sets, demonstrate how to summarize, transform, combine the data sets, and aggregate and visualize the resulting data set.
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