Classification Models
About this Course
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 outcomesThroughout this course you’ll also learn the techniques to apply your …
Classification Models
About this Course
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 outcomesThroughout 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.
Learn how to use classification predictive models to solve business problems involving non-numeric data.
[
Predictive analytics has proved to be a powerful tool to help businesses analyze data and predict future outcomes and trends. In this course, you’ll learn how to use classification predictive models to solve business problems such as predicting whether or not a customer will respond to a marketing campaign, the likelihood of default on a loan, or which product a customer will buy. You’ll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly. This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.
]
lesson 1
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.
lesson 2
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.
lesson 3
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.
