In this course, you'll learn how to use data to gain valuable insights and make predictions that can help drive success in a business setting. We'll cover everything from data preprocessing and cleaning, to building and evaluating models, to post-processing and presenting your results. All using Python, which is one of the most popular and powerful programming languages for data analysis. You'll get hands-on experience with real-world datasets, and learn how to use popular libraries like pandas, numpy, and scikit-learn. You will learn how to apply these skills to various business scenarios such as customer segmentation, forecasting, and product optimization. By the end of this course, you'll have a good understanding of the principles of predictive business analytics, and have the skills to turn data into actionable insights to improve operations, increase revenue and optimize your performance. Let's dive in and make the most out of the data-driven world of business!
Semester: N/A
Year offered: 2023