The techniques discussed are applied in all functional areas within business organizations including accounting, finance, human resource management, marketing, operations, and strategic planning. This course is designed for anyone who is interested in using data to gain insights and make better business decisions. We will use a practical predictive modeling software, XLMiner, which is a popular Excel plug-in.
You’ll also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. This course will introduce you to some of the most widely used predictive modeling techniques and their core principles.
Welcome to the second course in the Data Analytics for Business specialization!