BUS-S364 Business Data Programming
The strategic role of data and analytics is increasing the complexity of data, the number of variables to be analyzed, the types of analysis, and the speed of analysis required for success. This course employs Python to introduce the principles of programming for business analytics and takes the perspective of developing agile workflows for addressing selected business data analytics projects that synergizes business objectives with data rich applications. The course emphasizes fundamental data analytics principles, including interacting with data sources, processing and representing data with logical operations, and delivering insights from selected analytics procedures. Topics include: data structures, loops, arrays, functions, input/output, reading from data sources, and the use of Python packages such as NumPy, Pandas, Matplotlib, Scikit-learn to conduct the entire lifecycle of business analytics. Tools (e.g., GitHub, Anaconda, Markdown, and selected cloud computing software) are employed to help document selected hands-on business data analytics workflows, processes, and projects.