2  💡COURSE INTRODUCTION👀

2.1 COURSE DESCRIPTION

This course delves into the cutting-edge field of predictive business analytics, equipping students with essential skills for the data-driven business world. The curriculum covers three core areas:

  1. Data Manipulation: Learn to clean, transform, and prepare data for analysis.

  2. Data Visualization: Master techniques to create compelling visual representations.

  3. Predictive Modeling: Explore machine learning techniques.

A significant focus of the course is on developing proficiency in powerful predictive analytics software, with emphasis on R. Students will hone their ability to code efficiently and independently, fostering self-reliance in tackling complex analytical challenges.The course goes beyond theory, incorporating real-world case studies to demonstrate practical applications in various business contexts. Through these hands-on exercises, students will gain invaluable insights into the transformative potential of predictive analytics in driving business decisions and strategies.

The sky is the limit when you become an R lover [Artwork by @allison_horst]

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.