• Deakin University

Introduction to Predictive Modelling in Business

Learn how predictive modelling can help you make better business decisions as you explore the core concepts and CRISP-DM process.

397 enrolled on this course

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Introduction to Predictive Modelling in Business

397 enrolled on this course

  • 2 weeks

  • 3 hours per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

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.

Download video: standard or HD

Skip to 0 minutes and 1 second MEHMET ULUBASOGLU: Is your market share declining? Are you frequently missing out on your targets? What is your specific business problem?

Skip to 0 minutes and 9 seconds DAVID AKMAN: Whatever your answer, you may find that predictive modelling can help you make better business and economic decisions.

Skip to 0 minutes and 21 seconds MEHMET ULUBASOGLU: This free open course will provide an introduction to optimal predictive models for common business problems.

Skip to 0 minutes and 29 seconds DAVID AKMAN: This requires no programming background and can lead you into further study of the subject.

What topics will you cover?

  • Predictive modelling
  • Machine learning
  • Biases in predictive modelling
  • The CRISP-DM lifecycle

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

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?

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.

Who will you learn with?

Dr. David Akman has more than two decades of research, teaching, consulting, and professional work experience in virtually all areas of data science & analytics.

Mehmet Ulubasoglu is a Professor of Economics in the Department of Economics at Deakin Business School. Mehmet is currently the Head of the Department of Economics.

Hemant Pullabhotla is a Lecturer of Economics in the Department of Economics, Deakin Business School.

Who developed the course?

Deakin University

Deakin University is one of Australia’s largest universities with more than 61,000 students and over 15,000 online.

  • Established

  • Location

    Melbourne, Australia
  • World ranking

    Top 280Source: QS World University Rankings 2021

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Ways to learn

Choose the best way to learn for you!

Subscribe & save


For the first two months. Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Tests to boost your learning
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$99/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Tests to boost your learning
  • Printed and digital certificate when you’re eligible

Limited access


Sample the course materials

  • Access expires 14 Dec 2023

Find out more about certificates, Unlimited or buying a course (Upgrades)

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