“You went to each participant and offered customised teaching based on the particular problems they were facing. I'd recommend it to any clinician. Already have.”
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Automate audits. Analyse data. Build clinical tools. Learn Python in a single weekend.
- Dates
- 26–27 September 2026
- Sat & Sun · 8am–6pm
- Location
- South Kensington, London
- Exact venue confirmed closer to the date
- Deposit
- £150 to reserve
- Fully refundable. See policy below.
Course organisers
Completed core surgical training with a focus on plastic surgery, and now completing an MSc in Computing at Imperial College London. Teaches from the perspective of a clinician who's had to learn Python from scratch, so nothing gets skipped or assumed.
Teaching is delivered by current Imperial College London PhD and MSc students in computing and machine learning. You'll be learning from people who are actively researching and building in the field.
TLDR
- → Beginner-friendly Python course for healthcare professionals
- → Learn to automate audits, clean clinical data, and support research and QI projects
- → One in-person weekend in South Kensington, London (26–27 September 2026, 8am–6pm each day)
- → Guided exercises and a capstone project across both days
- → Taught by Imperial-trained computer scientists
- → £150 fully refundable deposit reserves your place
- → Limited places
Total course price
Sold out
This cohort is full. Email us to be notified when the next cohort opens.
Automate audits. Analyse data. Build clinical tools. No technical background required.
A hands-on Python course designed specifically for healthcare professionals. Over one weekend you'll go from zero code to working scripts you can actually point at real problems in your own practice — audits, data cleaning, small tools for the ward.
You'll leave able to:
- •Automate audit and QI workflows
- •Analyse research datasets
- •Build simple tools for real clinical use
Delivered as one intensive in-person weekend in South Kensington, London, by Imperial-trained computer scientists.
Includes guided exercises throughout the weekend to reinforce learning.
What we'll cover
Weekend · In-person intensive (8am–6pm)
Day 1: Core Python and data handling
The syntax of medicine — logic, variables, loops and functions. Then Pandas: loading, cleaning, filtering and analysing clinical data.
Day 2: Stats, visualisation and AI literacy
Medical statistics, advanced visualisation and merging datasets. Capstone project and critical appraisal of AI papers.
This course
- ✓Taught by Imperial-trained computer scientists, in person
- ✓Small cohort, personal attention
- ✓Built around clinical use cases from day one
- ✓Better value per hour of teaching than a typical bootcamp
Typical online alternatives
- ✗Large cohorts, no personal attention
- ✗Self-paced, so it's easy to fall behind and get lost
- ✗Generic examples, not clinical
- ✗Limited access to instructors
Course Price
Sold out
This cohort is full. Email us at info@medicdojo.com to be notified when the next cohort opens.
What you get
- ✓One intensive in-person weekend. Saturday and Sunday, 8am to 6pm, in South Kensington.
- ✓Guided exercises and a capstone project. Practical assignments woven through both days to consolidate your learning.
- ✓Personal attention. Small cohort, direct access to instructors throughout.
- ✓All course materials. Notebooks, code, datasets and exercises to keep.
- ✓A network of peers. Fellow clinicians thinking seriously about code and data in their own practice.
Refund policy
14-day cooling-off: You can cancel within 14 days of paying your deposit for a full refund, no questions asked.
More than 14 days before the course: Full refund of any amount paid.
If the course doesn't run: Full refund of any amount paid.
Within 14 days of the course: Deposit non-refundable but transferable to a future cohort on request.