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Our programmes
Whatever your aspirations are for working in data, our data pathway will give you the right skills and experience to reach your career goals.
“The programme helped me bridge the gap between university and the workplace. I now feel confident using my technical and professional skills, as I work on real-world projects with Digital Futures’ clients”
Erica Lindsay, Data Specialist
Realise your potential
- Become an accomplished data specialist and apply the technical and business skills you develop in training
- Create data-driven business solutions and present results that will have a real commercial impact
- Develop a solid foundation in data techniques, modelling, storytelling and other best practices
- Be confident applying your skills across data science, data analysis and data engineering
Course modules
Our immersive training develops your technical and professional skills, giving you the key foundational knowledge to start and progress in your career in data.
Python certification
All the training at Digital Futures is underpinned by industry-aligned certifications, ensuring all of our data specialists are set up for success.
Following your immersive training, you will complete the PCAP – Certified Associate in Python Programming certification from the Python Institute. This certification will be required for you to successfully graduate and become an employee of Digital Futures.
The PCAP certification is a professional credential that measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming. Becoming PCAP certified ensures you have the skills and competency needed to become a professional data specialist.
Master the latest technologies
Some of the key technologies and frameworks you will learn as a Digital Futures
data specialist
A typical day at the Academy
We take a holistic approach to your development and provide a dynamic learning experience to ensure you reach your full potential
9:00 am
Warm up
Start your day off with an icebreaker and a virtual coffee with your study group.
9:30 am
Workshop
Start the day’s learning with an instructor-led live workshop on a key area of data theory.
12:00 noon
Lunch
Take a break from life in the Academy to relax, refuel, and recharge ready for a full afternoon of learning and challenges.
1:00 pm
Workshop
Kick off the afternoon with an instructor-led live workshop focused on practical application.
3:00 pm
Projects
Work together in groups on real data and real business problems.
5:00 pm
Wrap up
Games and cool down to finish off the day.
Meet your instructors
Lisa Carpenter
Data Science Lead Instructor
Lisa is the lead data science instructor at Digital Futures, with responsibility for the design of our Data programme and delivery of a world-class learning experience for our engineers. Lisa has over 10 years experience in the data industry.
Lisa has worked with organisations to deliver value from their data, building technical solutions and statistical models to produce actionable insight. In 2018, Lisa discovered her passion for developing individuals in data and begun developing and delivering data courses.
Lisa is passionate about empowering people through digital skills and is a firm believer than anyone can learn to use technology to enrich their processes and workflows. She believes in the importance of ethics in data science and that everyone has a duty to act within the best interest of humanity.
Blair Young
Data Science Instructor & Engagement Manager
Blair holds a hybrid role at Digital Futures as both Data Science Instructor and Engagement Manager. This role helps create and mentor the next generation of data science talent.
Blair has worked across numerous sectors including finance, post-production, travel, advertising, and education. Throughout this time he noticed the need for improving data literacy across industry.
Combining statistical rigour with industry knowledge, Blair teaches through realistic application. This gives students a firm understanding that the world isn’t a sterile environment and things don’t necessarily go as planned – giving students a grounded, pragmatic approach to solving real-world problems.
Abhishek Ladwa 
Raluca Dragomir 
Catriona McGlynn 
Shivam Sheth 
Jarod Wilson 
Roseanne Smith