Data preparation
12-week bootcamp
Junior Supply Chain Analyst Bootcamp.
Stop applying with only a CV. Start showing employers what you can actually do.
Learn analytics by solving realistic supply chain problems and leave with a portfolio you can actually talk about in an interview.
Join the waiting list →€997 + VAT (VAT varies by country)
The bootcamp
What you are applying for
An intensive program where you solve realistic supply chain business problems and build projects around:
KPI analysis
Forecasting
Automation
Data storytelling
Python
Pandas
SQL
Excel
AI
Learn the tools as you need them, instead of spending weeks studying them in isolation.
A portfolio, not a CV line
Build a portfolio you can present and defend in an interview.
No previous coding experience is required.
The goal is not Python or SQL mastery.
The goal is to build entry-level analytical competence and proof that you can use it.
Join the waiting list →Who it's for
This bootcamp is for you if
(stay with me, it's a long list)
- You want to become a supply chain analyst or become dangerously good at analytics in your current role.
- You want projects (proof) that make your skills impossible to miss.
- You want to spot the right problem, make sense of the data, get the right KPI, and clearly communicate what you found.
- You want Python, SQL and AI working alongside your Excel skills.
- Excel is starting to feel like a very small room.
- You've collected the courses, but the job-ready confidence still hasn't arrived.
- You already understand supply chain terminology through your studies or work experience.
- You're willing to share unfinished work, receive feedback and feel slightly uncomfortable.
- You can invest between 7 and 14 hours per week for 12 weeks.
This bootcamp is NOT for you if
- You want to sit back, watch videos and call it learning.
- You want a super polished corporate experience with perfect slides and script.
- You don't want to learn Python.
- You lead a team and won't be doing the analysis yourself.
- You want to become a data engineer rather than a supply chain analyst.
- You want to jump straight into machine learning, optimization or statistical modeling.
- You cannot consistently make time for the work during the next 12 weeks.
- You have zero knowledge about supply chain & ops.
Saw yourself in the first list? You’re exactly who we built this for.
Saw yourself in the NOT list? Then this isn’t the right program for you, and it’s better to know before you spend 12 weeks on it.
Join the waiting list →€997 + VAT (VAT varies by country)
Apply
Junior Supply Chain Analyst Bootcamp.
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Frequently asked
The answers.
Do I need to know Python and SQL already?
No. You don't need previous coding experience. The Bootcamp is case-first, so you'll learn Python, Pandas, SQL and other tools as you need them to solve realistic supply chain problems.
We also show you how to use Gen AI to make your learning journey faster and easier.
How much time do I need to commit?
You should be prepared to dedicate 7–14 hours per week. This is a hands-on Bootcamp, so the commitment matters a lot.
Who can apply for the bootcamp?
You should have at least internship-level experience in supply chain or operations and less than 5 years of experience.
Of course you need to be interested in developing stronger analytical skills.
You can be looking for a job, trying to move into an analyst role, or already employed and wanting to become more analytical in your current role.
What will I have by the end of the Bootcamp?
You will build a portfolio of realistic supply chain analytics work covering areas such as data preparation, KPI analysis, forecasting, automation and data storytelling, using tools including Python, SQL and Excel.
And of course, people love certificates, so you will get that too.
Inside the advanced Supply Chain Analytics Program (SCAP) for experienced professionals.
Building analytical depth
The first SCAP cohort started in November 2025. A group of supply chain professionals from across three continents, meeting live, building portfolios on real problems. The program is still running (12 months). Here's what's happened so far.
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