Applied Data Science in Python

0-1.5 Credits · Level: Graduate

Data science is an emerging field which is being applied across a number of business contexts, including finance. In this course, students will build the skills necessary to effectively navigate and analyze financial data sets in Python, empowering them to make data-driven decisions. After gaining confidence in wrangling real-world financial datasets at scale, students will apply statistical techniques to financial data, to perform analyses such as calculating beta to the market. Through group project deliverables, students will perform their own real world financial analysis of interest, and practice communicating and presenting their analytical findings. Throughout the course, students will be immersed in hands-on Python programming exercises and should emerge with marketable technology skills.