Python for Finance Professionals – Part 2

Description

Learn Python to Manipulate, Analyze and Visualize Financial Data

This hands-on course is intended for anyone who uses Python and who is already comfortable with the skills that were taught in “Python for Finance – Part 1”. This course continues to improve 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.

Details
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 the “Python for Finance – Part 1” before this course.

Time

1 day

Learning Topics

Data Visualization in Python

  • Develop the ability to create powerful visualizations using the matplotlib and seaborn packages
  • Plot and interpret scatterplots and time series plots
  • Format settings of graphs
  • Learn to create an interpret more advanced graphs such as histograms, box plots and bubble charts

Data Analysis & Modeling

  • Gain experience in performing statistical analysis, linear regression, time series regression, and optimization
  • Learn how to use statistical functions in popular data science packages such as statsmodels, SciPy, and scikit-learn
  • Build and test financial market analyses to explore common tasks such as capital asset pricing, times series forecasting, multi-factor models and portfolio optimization
Download a one-page course summary
Download Now

Upcoming Python for Finance Professionals – Part 2 Events

All Events