Classification Models

Overview

The Classification Models course provides students with the foundational knowledge to use classification models to create business insights. You will learn:

How classification modeling differs from modeling with numeric data

To use binary classification models to make predictions of binary outcomes

To use non-binary classification models to make predictions of non-binary outcomes

Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx. At the end of the course, you’ll complete a project based on the principles in the course.

This course is part of the Business Analyst Nanodegree.

Syllabus

Introduction to Classification Modeling

Learn the key terminology used in predictive modeling.,Learn the how to choose variables to use in a predictive model.,Practice preparing a dataset for modeling.

Binary Classification Models

Learn how to use models to predict data with two possible outcomes.,Use logistic regression and decision tree models.,Learn how to compare models and interpret results.

Non-Binary Classification Models

Learn how to use models to predict categorical data with three or more possible outcomes.,Learn how to use decision tree, forest, and boosted models.,Compare models and interpret results.