This is the second course of the Data Analytics for Business specialization.
This course will teach you about some of the most popular predictive modeling techniques as well as their core principles. This course will give you a solid foundation in predictive analytics. It is a collection of tools and techniques that allow you to build statistical or machine-learning models to make predictions from data. This course will teach you how to perform exploratory data analysis in order to gain insight and prepare data to be used for predictive modeling. This is a valuable skill that businesses value. Learn how to summarise and visualize data using plots, so you can present your results in an engaging and meaningful manner. We will be using XLMiner, an Excel plug-in that allows us to use predictive modeling software. Anyone who is interested in using data to make better business decisions and gain insight is welcome to take this course. These techniques can be applied to all areas of business, including finance, accounting, marketing, operations, strategic planning, and human resource management. This course requires basic statistics and Excel knowledge.