This is a practitioner's seminar where we will cover the use of data visualization tools in a corporate setting. No prior technical familiarity is required as we will cover the basics of gathering, cleaning and presenting data using Power BI, which is widely used in practice.
We will focus on some of the important components of data science, such as:
- Business Intelligence - which is turning the company's data into the actionable form of dashboards and reports
- Machine Learning - which is, at its root, an algorithmic technique to devise predictive models, where the data generating process is treated as unknown
- Ethics - which includes the social responsibility around deploying predictive models that have been "trained" on potentially biased data
As this is an applied seminar, the focus will be on practical applications of the material in a business setting. Academic theory will be discussed only to the extent that it is used in practice.