In “NumPy and Pandas Basics for Future Data Scientists,” learn programming techniques using Python's NumPy and pandas libraries to write efficient and bug-free code for numerical computing.



NumPy and Pandas Basics for Future Data Scientists
This course is part of Data-Oriented Python Programming and Debugging Specialization



Instructors: Elle O'Brien
Access provided by New York State Department of Labor
Recommended experience
What you'll learn
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.
Skills you'll gain
Details to know

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March 2025
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There are 4 modules in this course
What's included
9 videos3 readings1 programming assignment1 discussion prompt2 ungraded labs
What's included
6 videos1 reading1 programming assignment2 ungraded labs
What's included
6 videos1 programming assignment2 ungraded labs
What's included
8 videos2 readings1 programming assignment2 ungraded labs
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