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We acknowledge the Traditional Owners of the land where we work and live. We pay our respects to Elders past, present and emerging and celebrate the stories, culture and traditions of Aboriginal and Torres Strait Islander Elders of all communities who also work and live on this land.

© 2026 Philled Pty Ltd, trading as Workinitiatives. All rights reserved.

We acknowledge the Traditional Owners of the land where we work and live. We pay our respects to Elders past, present and emerging and celebrate the stories, culture and traditions of Aboriginal and Torres Strait Islander Elders of all communities who also work and live on this land.

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All coursesData Science courses

What is Data Science?

IBM

|

1 week at 10 hours a week

In a nutshell

This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business.

What you'll need to get in

This self-paced course is suitable for everyone! No prior experience or degree required.

Subject breakdown

The course covers topics like the fundamentals of data science, what data scientists do, big data and data mining, machine learning and deep learning, and applications and careers in data science.

Why this provider?

As a market-leading tech innovator, IBM is committed to helping you thrive in the dynamic tech landscape. Through their expertly designed training programs, they provide the essential skills you need to secure your first job, advance your career, or drive business success.

Where will this course take you?

By taking this introductory course, you will begin your journey into the thriving field of data science, which has been labeled the sexiest profession of the 21st century.

Overview

Provider

IBM

Study mode

Self-paced

Location

--

Qualification

Shareable certificate

Find out if this course is right for you

You will be redirected to the training provider to enquire directly. Workinitiatives is not the course or training provider. We aggregate and list courses only.

Popular searches

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Course fee

Free

Start date

Starts Apr 8