This hands-on course is intended for anyone who uses Python and who is already comfortable with the skills that were taught in “Python 1: Core Data Analysis”. This course continues to build the skills needed to develop Python programs to solve typical finance problems, cutting through the noise of generic “Data Science” courses. Participants will be introduced to best practices programming in Python to analyze and visualize financial data.
Prerequisites
Participants require basic prior programming knowledge in Python and an understanding of the pandas package. Participants should also understand finance and statistical concepts, but in-depth analytical understanding is not necessary. It is recommended that participants take “Python 1: Core Data Analysis” before this course.
You will be required to download and install Anaconda or an equivalent Python distribution – links provided in advance of the course.