Explore the core concepts of predictive modelling and the steps of the CRISP-DM process. Learn how to produce information-based predictions to help in decision-making. The modern world is full of prediction problems in business and economics. This course will help you to explore the core concepts of machine learning and predictive modelling. You’ll be able to identify predictive modelling opportunities with economic data for use within public and private sectors.

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One of the most commonly used processes for managing predictive modelling projects in the industry is the Cross Industry Standard Process for Data Mining, or CRISP-DM for short. CRISP-DM consists of six phases: business understanding, data understanding, data preparation, modelling, evaluation, and deployment. This course will briefly cover these phases at a conceptual level that will be relevant in a corporate environment.

What will you achieve?

By the end of the course, you‘ll be able to...

- Explain the core concepts of predictive modelling

- Identify predictive modelling opportunities with business data within public and private sectors

- Apply the steps of the CRISP-DM process at a conceptual level in a corporate environment

Who is the course for?

Are you interested in learning more about predictive modelling? What it is, and how it’s used in business? This course will introduce you to machine learning and the core concepts of predictive modelling. It will also cover the steps of the CRISP-DM process at a conceptual level in a corporate environment.

Predictive Modeling

Machine Learning

CRISP-DM

Cross Industry Standard Process for Data Mining

Decision Making

Enroll in course

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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