Python for Data Visualization (2019)

Data visualization is incredibly important for data scientists, as it helps them communicate their insights to nontechnical peers. But you don’t need to be a design pro. Python is a popular, easy-to-use programming language that offers a number of libraries specifically built for data visualization. In this course from the experts at Madecraft, you can learn how to build accurate, engaging, and easy-to-generate charts and graphs using Python. Explore the pandas and Matplotlib libraries, and then discover how to load and clean data sets and create simple and advanced plots, including heatmaps, histograms, and subplots. Instructor Michael Galarnyk provides all the instruction you need to create professional data visualizations through programming.

Learning objectives
Use a Jupyter notebook to execute a series of commands.
Describe common commands to load and export data.
Explain pandas usage basics.
Modify a DataFrame using common data methods.
Create simple plots using Matplotlib.
Apply advanced techniques to produce complex plots.