This course is part of Data-Oriented Python Programming and Debugging Specialization
Instructors: Elle O'Brien
Included with 
Recommended experience
Recommended experience
Create and manipulate NumPy arrays, including performing basic arithmetic operations and handling missing data.
Apply advanced NumPy techniques such as broadcasting, masking, and aggregation functions.
Construct and modify pandas DataFrames and Series, use methods to filter and inspect data, and handle missing data.
Utilize pandas for data aggregation, summary statistics, and dataframe merging to analyze a real dataset.
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March 2025
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9 videos3 readings1 programming assignment1 discussion prompt2 ungraded labs
6 videos1 reading1 programming assignment2 ungraded labs
6 videos1 programming assignment2 ungraded labs
8 videos2 readings1 programming assignment2 ungraded labs
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