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This course is part of Data-Oriented Python Programming and Debugging Specialization
Instructors: Anthony Whyte
Included with
Recommended experience
Intermediate level
Learners should complete "Python 3 Programming" on Coursera or have equivalent experience with Python programming basics.
Recommended experience
Intermediate level
Learners should complete "Python 3 Programming" on Coursera or have equivalent experience with Python programming basics.
Independently debug a variety of code issues.
Interpret and implement evolving project requirements.
Import, clean, and manipulate data acquired from remote sources.
Deliver notebooks that can be read, run, and reproduced.
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March 2025
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In “Python Debugging Capstone Project: Fixing and Extending Code,” you will undertake a comprehensive coding project that demonstrates your ability to use NumPy, pandas, and SciPy for advanced data manipulation and scientific computing. You will use the skills and best practices learned throughout the series to debug and analyze real-world data. This project will involve working with complex datasets, requiring you to implement data structures and handle missing data.
You will engage in systematic debugging using the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect – learned in the first course within the series and other advanced troubleshooting techniques. By the end of the course, you will know how to properly document your processes through clean, maintainable code notebooks.
3 videos8 readings1 assignment3 programming assignments1 discussion prompt
2 videos3 readings5 programming assignments
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