Analytics has become more important over the past few years as a source of competitive advantage for businesses as well as a tool for improved effectiveness and efficiency. Organizations around the world are looking at ways to leverage data to create value. This is being done using quantitative analysis and topics such as operations research, statistical modeling, predictive analytics, text mining and associated IT tools.
This Kelley School of Business Executive Education Digital Badge Program will introduce students to a variety of analytics techniques and software tools. The course begins with the basics of problem definition and data preparation, including strategies for missing values, outliers, and skewed distributions. Next, students will learn to identify appropriate analytical techniques based on data structure and problem definition. Techniques studied include linear regression, logistic regression, discriminant analysis, principal component analysis, cluster analysis and neural networks. These will be covered using a variety of software including Excel and R.