- Type Certification
- Level Foundational
- Time Months
- Cost Paid
Data Analysis with Matplotlib, Pandas, and Scikit-Learn Python Libraries
Earners of this badge can import and analyze data using Python. Along with applying basics of the python language, the badge holder was able to manipulate data using NumPy, produced plots and tested data visualizations with matplotlib, ran statistical analysis using Pandas. The badge holder applied these skills in the Python for Data Analysis course - completing 20 hours of instruction and 40 hours of hands-on project work.
- Type Certification
- Level Foundational
- Time Months
- Cost Paid
Skills
Earning Criteria
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The learner has passed UC Davis Continuing and Professional Education "Python for Data Analysis", an Academic Credit-bearing course, with a grade of “C” or better.
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Learner completed assignment components of the course with grade of “C” or better. Assignments Included: - Ingesting data, producing plots, analysis and fit models - Interacting with various Python libraries - Importing data and manipulate data using NumPy - Running a statistical analysis using pandas
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The learner has completed a project with grade of “C” or better as assessed by the course instructor. In the project the learner was required to load, explore and clean data using Pandas. The learner was also required to manipulate and analyze data using the Pandas library. Finally, the learner had to visualize the data using matplotlib to create a graphic output.