FREE Webinar: Join Dr Raoul-Gabriel Urma, CEO of Cambridge Spark to understand the learning pathways for building data science and analytics teams - 14th October 1pm - 2pm
There is an incredible opportunity for retailers to increase competitiveness through becoming data-driven organisations. Retailers need the right skills in their workforce to take advantage of these and a variety of options exist to upskill their staff for data science and AI. Dr Raoul-Gabriel Urma, will explain the roles and skills needed within retail, the learning pathways available for these roles and how the BRC and Cambridge Spark are working together to help retailers succeed with Data Science and AI.
Who Should Attend
- Team leaders looking to grow their teams (eg head of data, head of analytics, head of insight etc)
- HR Managers with remit to grow data science capabilities
- HR professionals with a remit to grow the data science capability of their organisation
ABOUT CAMBRIDGE SPARK
Cambridge Spark is a leader in transformational data science and AI training, career development and progression. Their pioneering, customer-focused, training programs are built on their own proprietary AI-powered platform, KATE, and accelerate the tech capability of both individuals and organisations. The team also advance tech careers through their EDUKATE.AI platform.
Their goal is to empower the entire global workforce to reap the benefits of data science and AI. The company is headquartered in Cambridge, UK, with an office and an educational campus in King Cross, London.
Through Cambridge Spark, BRC Learning are able to offer the Data Analyst Apprenticeship (Level 4). The Levy-funded course equips learners with an advanced skill set to empower them to extract, manipulate and visualise data, enabling organisations to answer complex questions and drive strategic value.
How to Book
Use the button below to book your FREE place today. Alternatively if you have questions about the programme please contact us via firstname.lastname@example.org.Book Your Places