In our data-driven world it is hard to imagine a modern manager who does not know basic tools of quantitative analysis. The course will include a necessary minimum of theory (30% of time) and a lot of practical examples using real data from business, management and finance.
“We will begin with a motivational example of forecasting sales using Excel Add-in. Then we will learn how to summarize data and build informative graphs. We will next briefly discuss probability theory and mechanics behind Ordinary Linear Squares (OLS) regression. Linear Regression is a powerful quantitative methods which will be covered in depth using multiple datasets from Harvard Business Publishing. Then we will consider two extensions to regression: linear probability model to analyze binary data and time series models. The course will end with a brief introduction of advanced topics of big data analysis in R/RStudio that will lay down a foundation for future independent learning by the most motivated students.”