ISOM-837 From Data Mining to Business Insights
How do companies turn data into insights and use data and analytics to create business value? We will take a holistic approach to business analytics, starting from identifying and defining business questions, evaluating data quality, wrangling data, to selecting models, interpreting outcomes, and communicating analysis and results to technical and management audiences. You will learn a collection of data mining techniques, including the k-nearest neighbor algorithm, decision trees, neural networks, clustering analysis, network analysis, association rule mining, text mining, etc. We will also reinforce the data ethics framework for your future ethical dilemmas. Throughout the course, you will be involved in hands-on analysis using large sets of real data from a variety of industries, including retail, financial service, healthcare management, education, etc. You will also complete an analytics consulting project with an industry client and a formal presentation of your analysis and recommendations.