BUS-S 536 Business Analytics Programming

• 7 weeks
• 1.5 credits

For businesses to capitalize on data analytics, business professionals need to understand business analytics workflow using algorithm building blocks using, for example, Python and R, that are used to create models. This course, which focuses on data programming and analytics (e.g., using Python), first introduces general programming concepts such as variables, data types, data structures, functions, control flows and file operations with a focus on data processing. Next the course introduces various data analytics packages (e.g., NumPy, Pandas, Matplotlib, Seaborn) along with the steps to apply them in a business analytics workflow. Students will gain experience with a package distribution system (e.g., using Anaconda) and employ an integrated development environment (e.g., Jupyter) that has many built-in features that simplify coding. This course has regular hands-on exercises to practice skills learned and a capstone project that integrates various elements of the business analytics workflow process. This course is part one of a two-part sequence, and it is followed by part two, BUS-F536.