Business intelligence and data analytics: Generate insights

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Course Features

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Duration

29 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

29 hours

Course Description

Megatrends are a powerful influence on today's industries, societies, and organisations. Your ability to identify and generate insights in this area will be crucial for your organization's future success. This course will teach you how to use analytical skills and tools to analyze and evaluate the opportunities and challenges'megatrends will bring to your organization. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. Key data analytics concepts, such as multi-level perspectives, systems thinking and multi-disciplinary methods for envisioning the future, will be covered. You can then apply these concepts to real-world problems your company may face. There will be a strong emphasis on future-proofing skills like teamwork, collaboration and accounting for ethical decisions.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face

There’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks

Course Instructors

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David Pitt

Department of Actuarial Studies and Business Analytics

David is an actuarial academic who has worked as an analyst at a leading financial services provider, consultant and as a teacher and researcher. He has won numerous awards for his teaching including...
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Smit Rathore

Instructor

Department of Actuarial Studies and Business Analytics

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