Why do Data, Analytics & AI courses?
There aren’t enough skilled data professionals out there – and numbers aren’t keeping up with the ever-growing demand. But don't worry, QA can help. From first steps in data literacy to data analyst and data scientist training – we can help you get the best out of data. We cover it all – including data visualisation and analytics, machine learning and artificial intelligence (AI).
Our learners have given us an average NPS score of 8.8 out of 10 for our Data, Analytics & AI training [Jan-Oct 2020]. And we’re always trying to improve it so that our learners have the best possible experience.
Our data course areas:
Data, Analytics & AI learning paths
Want to boost your career in data, analytics and AI? Click on the roles below to see QA's learning pathways, specially designed to give you the skills to succeed.
Data, Analytics & AI certifications
Data is everywhere. It’s waiting for you to unlock its secrets.
Hire qualified business and data analysts
Our 10-week Technical Business Analyst programme creates analysts ready to bring their expertise to clients, helping businesses to work effectively with technology teams to leverage technical knowhow with top class analysis and customer engagement skills.
During the academy programme delegates learn how to analyse the structure of a business, how it uses technology and what its goals are, and how to analyse and visualise data to make informed business decisions.
Delegates learn to use data modelling practices to analyse findings and create suggestions for strategic and operational improvements and changes and to consider the opportunities and potential risks attached to recommendations.
Meet our Head of Data, Analytics & AI
David is a learning and transformation consultant with 20 years' experience in creating technical and learning strategies for emerging technology and digital transformation.
David possesses significant experience developing talent and transformation programmes at scale, which support executive leadership and L&D teams in talent development objectives. He has deep experience across public and private organisations, including sectors such as finance, health, telecoms and government for clients including MOD, DWP, Natwest Group, PA Consulting, Microsoft, AWS and Google.