Franklin University DATA 250 Analytics Programming Spring 2025, Start Date 01/27/25

This course introduces the essential general programming concepts and techniques to analytics students. The goal is to equip the students with the necessary programming skill in analytics problem-solving. Topics include boolean, numbers, loops, function, debugging, Python's specifics (such as NumPy, Pandas, Jupyter notebook), R's specifics (such as list, data frame, factor, apply, RMarkdown), the process of data retrieving, cleaning, integrating, transforming, and enriching to support analytics.