Fill Your Data & AI Skills Gap
Invest in building specialist skills with short, flexible courses.
→ Virtual sessions delivered by Data & AI experts
→ Quickly master new skills through impact-based learning
A Gold Standard Education In Weeks, Not Years
Empower your team with the in-depth practical skills acquired through formal qualifications, without the time and cost commitment. Learners develop specialist knowledge with the highest quality teaching, condensed to fit their workload and deadlines. Accelerate your team's capabilities with Cambridge Spark, the Data & AI specialists.
Short Course
Python for Data Analysis Course
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£3,495 + VAT
Short Course
Mastering Machine Learning with Python Course
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£3,495 + VAT
Mastery of key principles while gaining hands-on Python experience for the world of machine learning
Short Course
Time Series Analysis with Python Course
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£1,495 + VAT
The Key to Unlocking the Power of Your Data is Your People
Competitive performance in the AI era means investing in the teams that will harness rapidly advancing technology. Cambridge Spark is changing the face of professional development to bring Data & AI education to all.
Equip your team members with the skills they need most. Learners attend half-day workshops, and create their own self-directed schedule of reading and practice, to learn in the flow of work. The better they learn, the better their impact on projects and deliverables.
Our programmes continually evolve to keep pace with the rapidly changing tech landscape, welcoming learners into a dynamic community to work on real-life problems together.
Real-Life Practice on Real World Projects
Our unique learning system EDUKATE.AI accelerates learning and impact for 5,000+ learners through:
→ Industry Simulation - Your team practice on production-ready Data Science code to solve the problems they encounter every day
→ Instant Assessment - Real-time, accurate feedback to strengthen and improve coding capabilities
→ Testing Sandbox - Experimentation without impact before updating real work projects
→ Cloud Environment - Easy access to learning materials from work and home environments, optimising learning time.
Expertise + Efficiency = Immediate Impact
Instant Knowledge Building
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Expert-Led Workshops - Virtual workshops delivered by data academics and alumni from some of the world's best Universities
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Self-Paced Success - Learners harness EDUKATE.AI to work independently and efficiently in their own time
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Theory & Practice - Selection of projects applying technical skills to realistic situations
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121 Support - Final week call with trainer for specialist advice on personal questions and action plan for effective skill application.
Measurable Impact
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Instant ROI - Learners hit the ground running to apply knowledge and skills from day one of the programme
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Work-Based Application - From capstone projects to live in-person simulation, learners harness knowledge to solve real-life problems
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Expert Support - Specialist knowledge and guidance on work-based projects that deliver business impact
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Continuous Improvement - Post-course access to EDUKATE.AI, assignments and frameworks to apply knowledge to future challenges.
Training Programmes Developed by 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. Choose the course to fit your team's knowledge gaps:
Python for Data Analysis |
Mastering Machine Learning with Python |
Time Series Analysis with Python |
Python and Pandas Essentials
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Machine Learning Foundations |
Foundations of Time Series Analysis
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Advanced Data Manipulation with Python
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Supervised Learning Deep Dive
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Time Series Forecasting |
Data Visualisation with Python
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Advanced Machine Learning Techniques
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More Info → | More Info → | More Info → |
Boost Your Team's Data & AI Capabilities
Hit the Ground Running
Instant feedback, immediate improvement
Maximise Productivity
Upskilling without impact to existing projects and tasks
Retain Your Best Staff
Through unmatched career development
Gain Competitive Edge
Take on any challenge with a data-driven culture
Meet Your Trainers
Baylor Brangers
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
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.
Creating Data-Driven Cultures for Large Global Businesses
I've seen the direct impact our data initiatives have had across various functions of our business. Our colleagues have been able to show a fast return on investment and extract more value from our data.
Russell Johnson, Chief Data Scientist at M&S
The Cambridge Spark curriculum offered the opportunity for GSK staff to develop skills in Python, visualisation, and big data to support them in the use and development of data as a tool for the business.
Tim Buchanan, Apprenticeship Vendor Manager at GSK
My team saw the value of data science with Cambridge Spark. Being part of a global organisation such as Visa, teams in other regions would see the benefits of the projects and begin to reach out with enquiries.
Imran Ayad, Data Analyst at Visa
Find the Best Solution for Your Challenges
Unsure if our courses are right for your teams? Simply let us know what you need - our Data & AI specialists will get in touch with free advice to help you meet your organisational goals.
We look forward to speaking with you.