Learn a depth of practical skill equal to a formal qualification, without the long-term time commitment. Gain specialist knowledge with the highest quality teaching, condensed to fit your schedule. Accelerate your professional capabilities with Cambridge Spark, the Data & AI specialists.
Create your own schedule by combining live half-day workshops with self-directed reading and practice. Learn in the flow of work to maintain productivity and optimise your workload. The better you learn, the better you can make a tangible impact on projects and deliverables.
Our programmes continually evolve to help you keep pace with the rapidly changing tech landscape. Whatever your challenges and needs, we've got the solution for you.
Real-Life Practice on Real World Projects
Our unique learning system EDUKATE.AI accelerates your learning and impact through:
→ Instant Assessment - Real-time, accurate feedback to help you strengthen and improve your coding capabilities → Industry Simulation - Practise on production-ready Data Science code to solve the problems you encounter every day → Testing Sandbox - Follow along with trainers to get hands on with code before updating real work project → Cloud Environment - No need to install programming software, easily access learning materials from your work and home environments.
Deep Technical Knowledge from the Data & AI Experts
Immediate Knowledge Building
Expert-Led Workshops- Virtual workshops delivered by data academics and alumni from some of the world's best Universities
Self-Paced Success - Harness EDUKATE.AI to follow along with trainers and get hands on with code directly from the platform
Easy Access - Browser-based learning environment to run coding material and projects in one place in your own time, no setup required
121 Support - Final week call with trainer for specialist advice, answers to your personal questions and action plan to tackle your challenges.
Join Our Learner Community
Interactive Learning - Access to EDUKATE.AI for 6 months post-course completion
Continuous Improvement- Post-course access to assignments and case studies to apply your knowledge to your own challenges
Knowledge Sharing - Invitations to networking events and industry insights sessions with Data & AI leaders
Learner Community - Join the Cambridge Spark virtual and in-person communities to get help from and share knowledge with your peers and experts.
Training Programmes Developed by World-Leading Data Scientists & Academics
As Data & AI specialists, Cambridge Spark combine the best of traditional teaching with tech-enabled innovation. Whatever your data challenges, our blended training is designed for immediate impact.
Working with one of the most in-demand languages, Python developers are some of the highest-paid in the world. Demand for Python skills has increased 41% year-on-year, and will continue to create a wealth of career opportunities for skilled professionals.
After a career in physics and astrophysics, Baylor made the switch to neuroscience, earning a PhD in Systems and Computational Neuroscience at the Champalimaud Center for the Unknown. Baylor previously held roles as a research scientist at Columbia University and Cold Spring Harbor Laboratory. In addition to academia, Baylor has worked as a programmer for Jane Street Capital and as an electrical engineer for Teledyne-Lecroy.
Currently a teaching fellow at Cambridge Spark, Baylor instructs in Machine Learning, Data Science and Python, leveraging his diverse background to guide students across industries toward becoming proficient data scientists. Passionate about teaching, he is dedicated to helping individuals achieve their data science goals, whether it involves programming in Python or mastering cutting-edge neural networks.
Courtney David
As a data scientist with a unique blend of technical and analytical skills, Courtney leverages her expertise in Python, SQL, Machine Learning and Data Visualization to uncover insights and drive decision-making. Courtney harnesses her proficiency for Data Storytelling and a deep understanding of product dynamics to equip learners to handle complex data challenges.
Her experience as a computer science and IT teacher for eight years enhanced Courtney’s ability to communicate intricate concepts to diverse groups across skills and knowledge levels. Courtney is passionate about using data to create human-centric solutions & drive societal change.
Darshana Edirisinghe
Darshana achieved no fewer than 12 computer science diplomas and qualifications himself before training the next generation of the UK's IT workforce. Particularly passionate about Big Data and IT Security technologies, Darshana is continually upgrading his own skills across Data Scientist Advanced Analytics, Network Security and Certified Ethical Hacking.
With several years of experience in IT Education and Management, Darshana balances excellent interpersonal and communication skills with enthusiasm, energy and drive to introduce new ideas and develop new strategies.
Join Our Community of 5,000+ Successful Learners
Jamie Kavanagh
Policy, Data & Insight Specialist
"I would recommend Cambridge Spark over anyone else."
Elle Neal
Data Annotator
"Cambridge Spark help you directly apply your learning to solve real business problems."
Lisa Cooney
Head of Client Success
"Ultimately, it’s about digital transformation and business change."
Find the Best Solution for Your Challenges
Unsure if our courses are right for you? Simply let us know what you need - our Data & AI specialists will get in touch with free advice to help you meet your work goals.
.png?width=550&height=309&name=Untitled%20design%20(7).png "Learn Data and AI skills fast alongside your workload")
.png?width=750&height=750&name=Public%20Courses%20Images%20(4).png "AI Driven LMS with Personal Instant Feedback")
.png)
.png?width=230&height=230&name=Square%20TestimonialCase%20StudyFeatured%20Person%20Image%20(3).png)
.png?width=230&height=230&name=Square%20TestimonialCase%20StudyFeatured%20Person%20Image%20(1).png)
.png?width=230&height=230&name=Square%20TestimonialCase%20StudyFeatured%20Person%20Image%20(2).png)
