Leo Chin
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.
Skills / Knowledge
- 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 and interpret more advanced graphs such as histograms, box plots and bubble charts
- 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
Issued on
August 7, 2021
Expires on
Does not expire