Modeling Data in the Tidyverse

Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Different modeling approaches can be chosen to detect interesting patterns in the data and identify hidden relationships. This course covers the types of questions you can ask of data and the various modeling approach

• Describe different types of data analytic questions
• Conduct hypothesis tests of your data
• Apply linear modeling techniques to answer multivariable questions
• Apply machine learning workflows to detect complex patterns in your data