Miklós Koren
Professor
This course is an immersive simulation game using the statistical concepts learned earlier to argue about patterns of gender discrimination in the workplace. The focus is on interpreting and communicating data analysis results rather than performing statistical calculations. Various assignments, including readings, essays, and presentations, reinforce the learned concepts.
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This course teaches how to organize data and code on your computer, how to write simple programs in Python to automate tasks, and how to use Stata throughout the steps of the your research process.
Data engineering is increasingly important to leverage the value created by data scientists and analysts. Executives who understand the basics of data engineering can help their team create data products that are easy to change in response to ever changing business requirements. This course offers a high-level overview of the types of decisions data engineers have to make, and a hands-on illustration of the most common problems on real-world data. The key goal of this course is to help executives make decisions about the data analytics efforts of their business and ask the right questions from their team. This will help increase the Return On Investment of analytics projects so that data can serve as a competitive advantage of the business.