Linear regression is the go-to method to rapidly understand a dataset.
Linear and logistic regression are prevailing and powerful statistical methods used in a variety of domains. They are simple to implement, yet offer a depth of analytical knowledge. What's more, they can be used both for statistical modeling and predictive analytics.
This course is designed to teach you applied linear and logistic regression by having you (yes, you!) build increasingly complex models. First, you will gain a deep understanding of the foundations before diving into linear regression. After that, we will go one step further and handle classification and nonlinear datasets. Finally, we will use regression techniques to build resilient predictive models.
Throughout the course, we will work on real-world datasets to give you tangible, hands-on training.
Ready to go?