This course follows required course MK34 (Python Bootcamp). It introduces students to more advanced data analysis using the Python data analysis library Pandas, which is used by most data scientists. Students will lean to load data from Excel, plain text files, and SQL databases and APIs. The data analysis process covered includes cleaning, aggregating and performing calculations, producing descriptive statistics, and visualizing with charts. There are sections on handling text data as well as timeseries analysis. A final code project produced in a Jupyter notebook will make a nice student portfolio piece for job interviews.
This course is individual work, not group work. There are weekly programming assignments and a final project.
Course code: MK347
INSTRUCTOR: Visiting Expert and Lynn CHERNY.