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Description
Understand how to solve business problems with predictive modelling
The modern world is full of prediction problems in business and economics. On this two-week course, you’ll learn how to solve these problems using the concepts of machine learning and predictive modelling.
You’ll also understand how to identify predictive modelling opportunities with economic data for use within both public and private sectors.
Delve into the CRISP-DM process
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 cover these phases at a conceptual level to help you understand their relevance in a corporate environment.
Learn from the experts at Deakin University
Throughout the course, you’ll be guided by the specialists at Deakin University to help you gain a solid understanding of predictive modelling and how it’s used in business.
You’ll finish the course with the knowledge and skills to help you make better business and economic decisions.
This course is designed for professionals, managers, consultants, public servants, research analysts, and other decision-makers who want to incorporate data-driven insights into their decision-making.
Tags
Syllabus
- Basics of Predictive Modelling
- Let’s get started
- What is Predictive Modelling?
- Biases, Tools and Processes
- Biases
- Lifecycle Model and Predictive Modelling Tools
- Course Wrap
Introduction to Predictive Modelling in Business
Affiliate notice
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TypeOnline Courses
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ProviderFutureLearn
Understand how to solve business problems with predictive modelling
The modern world is full of prediction problems in business and economics. On this two-week course, you’ll learn how to solve these problems using the concepts of machine learning and predictive modelling.
You’ll also understand how to identify predictive modelling opportunities with economic data for use within both public and private sectors.
Delve into the CRISP-DM process
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 cover these phases at a conceptual level to help you understand their relevance in a corporate environment.
Learn from the experts at Deakin University
Throughout the course, you’ll be guided by the specialists at Deakin University to help you gain a solid understanding of predictive modelling and how it’s used in business.
You’ll finish the course with the knowledge and skills to help you make better business and economic decisions.
This course is designed for professionals, managers, consultants, public servants, research analysts, and other decision-makers who want to incorporate data-driven insights into their decision-making.
- Basics of Predictive Modelling
- Let’s get started
- What is Predictive Modelling?
- Biases, Tools and Processes
- Biases
- Lifecycle Model and Predictive Modelling Tools
- Course Wrap
Tags
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