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.
Prerequisite
Student has satisfied all of the following Student has satisfied all of the following Academic Unit (Computed) in the selection list Accounting, Accounting and Business Law, Business Administration, Business Administration Executive, Business Analytics, Business Law and Ethics, Entrepreneurship, Finance, Health Administration, Information System, Information Systems and Operations Management, INTO Sawyer Business School, Management and Entrepreneurship, Management Studies, Marketing, Moakley Center for Public Management, Public Administration, Public Administration and Health Administration, Sawyer Business School, Strategy and International Business Or Programs of Study any in the selection list Business Economics Major BSBA And Student has satisfied all of the following Student has completed all of the following course(s) ISOM 631 - Data Analytics with Python, ISOM 821 - Data Management and Modeling, ISOM 835 - Predictive Analytics and Machine Learning