Foundations of Data Science and Data Ethics

Course Overview

This course covers an introduction into the methods, concepts, and ethical considerations found and practiced in the field of professional data science. Topics include defining and structuring the problem, managing the business, the CRISP-DM and Agile processes, ensuring the science in data science using the scientific method, project management, managing ethical concerns and model bias, and the importance of performing exploratory data analysis. This course will combine the learnings from case studies, texts, and standard organizational processes with practical problem-solving skills to present, structure, plan, and present the problem as it would be done in large enterprises, including executing steps in the data science work-stream.


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Earn your master’s degree on a schedule that’s convenient for you.