Data Analytics

Data Analytics

Machine Learning

There are countless tutorials out there to help you get started with machine learning. However, we recommend the following:

• Dr. Nagy's Course - CE 397 Smart Buildings and Cities: An introduction and guide to using machine learning in the context of the built environment.
• Kaggle Courses: The full, free course load can be found here.

Data Visualization

There are too many ways to visualize data, but there are some typical plots that you should be familiar with. A great way to decide which figure is the one for you and your data is given here.

You can also find some good examples by looking at the documentation for common libraries used for Python plot generation. The two big ones are:

• Matplotlib
• Seaborn

References

• Tufte Books - Tufte is considered the GodFather of good visual communication. I recommend everyone reads the 4 books below (included in the folder linked above) for principles of data visualization.
  • The Visual Display of Quantitative Information - if you have to read one, read this one.
  • Beautiful Evidence
  • Envisioning Information
  • Visual Explanations