2 💡COURSE INTRODUCTION👀
2.1 COURSE DESCRIPTION
In today’s data-driven business landscape, the ability to make informed and strategic decisions based on predictive modeling is invaluable. This course is meticulously designed to empower you with these crucial skills, ensuring you become a pivotal asset in your organization’s decision-making processes. You will learn to wield R, a powerful statistical programming language, navigating through hands-on examples and real-world case studies to solidify your understanding and application of various modeling techniques. Predictive modeling is not just about building models; it’s about deriving actionable insights and making strategic business decisions. This course places a strong emphasis on the interpretation of model results, teaching you to critically assess outputs, grasp their implications, and translate them into data-driven solutions that drive business success.
2.2 COURSE RESOURCES
All the materials and resources required to learn the topics covered in class will be available on Blackboard. The professor and TA have also developed a course website to enhance your learning experience. Students are responsible for regularly checking the course Blackboard page and the course website. Moreover, you are encouraged to study the materials uploaded or the resources linked in it on a weekly basis. The course will also have a class channel, hosted on Microsoft Teams, to foster interactions and enhance engagement among students and between students and the instructor. Instructions on how to access and use the course website and the Microsoft Teams channel will be provided during the first class.