Data Science for Digital Marketing
Southampton Data Science Academy
Summary
- Tutor is available to students
Overview
Gain deeper customer insights and become a better digital marketer.
This fully-flexible 6-week online course will teach you how to effectively use data and data science techniques to improve your marketing insights, better understand your customers, and manage customer interaction in web-based environments.
Using a practical approach through real-life examples, the course will enable you to interpret how your customers engage and interact with your digital marketing efforts – helping you to become a more effective digital marketer.
CPD
Description
Taught by the world-leading Data Science team at University of Southampton – a global top 1% university – the course will equip you with the specialist knowledge and skills you need to understand the fundamental tools and techniques of data science and effectively apply them to your day-to-day work as a digital marketer.
Our interactive Data Science for Digital Marketing course will enable you to:
- Understand the role data science plays in digital marketing
- Identify what data needs to be collected to ensure your digital marketing process is optimised
- Recognise the roles of different sources of data and how they can be used together to add value to your digital marketing efforts
- Understand how machine-learning applies to customer segmentation, churn prediction, and customer engagement
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.