Python Foundational Bootcamp
Issued by
Dalhousie University
The earner has demonstrated Python basic programming skills including converting data types, string manipulation, for & while loops, lambda function, range functions, and generating random integer lists using normal, exponential, and uniform distributions. Earners have demonstrated how to import libraries and use library functions to simplify their Python code. Earners have also demonstrated the ability to clean, modify, and merge data into one uniform data frame.
- Type Validation
- Level Foundational
- Time Days
Earning Criteria
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Earners of the Python Foundational Bootcamp microcredential have successfully submitted portfolio evidence of properly formatted Python code, using markdown text and comments, in Jupyter Notebook. The earner created a list of integers, performed a mathematical operation on each integer and assigned integers to a new list.
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Earners of the Python Foundational Bootcamp Microcredential have successfully submitted portfolio evidence of properly formatted Python code in a Jupyter notebook that imported built-in modules to combine files of different formats, eliminated duplicates, and wrote a single CSV file sorted alphabetically by country.