Learn data visualization with Python in just 4 hours by completing short interactive exercises. Topics covered include customizing graphics, plotting two-dimensional arrays (e.g., pseudocolor plots, contour plots, images, etc.), statistical graphics (e.g., visualizing distributions & regressions), and working with time series. | DataCamp

Designed for finance professionals and programmers who want to specialize in finance, this course will teach you how to code in Python and the application to investment management and analysis. Here are some more details of what you'll learn: 1. How to code with Python and use it to solve real-world tasks in finance 2. How to work with Python's conditional statements, functions, sequences and loops 3. How to calculate risk and return of investment portfolio; use univariate and multivariate regre