Use data to predict categorical outcomes
About this Course
The Classification Models course provides students with the foundational knowledge to use classification models to create business insights. You will learn:
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.
Approx. 2 weeks
Included in Product
Rich Learning Content
Taught by Industry Pros
What You Will Learn
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.
Prerequisites and Requirements
compatible with Windows only)
See the Technology Requirements for using Udacity.
Why Take This Course
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.
What do I get?
- Instructor videos
- Learn by doing exercises
- Taught by industry professionals