Project 01
Turn messy sales data into a useful report
Clean and structure messy business data, identify what matters, and build a report that helps management understand sales performance and trends.
PythonExcel
Supply chain analytics Bootcamp
Build the skills and proof for better supply chain opportunities.
In 12 weeks, solve realistic supply chain problems, build at least 8 employer-ready projects, and become more confident taking on analytical work with real business impact.
Join the bootcamp →12 weeksFrom onboarding to the closure session.
8+ projectsSeven projects plus the capstone, with more cases available.
Real impactAnalytical work with real business impact.
You know you can do more. You just can’t prove it yet.
01
You know the theory, but real problems are messy
Knowing the tools is different from knowing what to do with real supply chain data.
02
You don’t have enough proof of what you can do
Without strong projects, it’s hard to show employers or managers that you’re ready for analytical work.
03
You’re stuck below the level you want to work at
You want more analytical responsibility, better opportunities, and work where your skills actually matter.
The bootcamp is designed to close that gap.
- Know how to approach a supply chain problem when the answer isn’t obvious
- Turn messy data into analysis you can actually use
- Build stronger Python and analytics skills through real application
- Create projects that show how you think and what you can do
- Explain your analysis clearly to managers, recruiters, and other stakeholders
- Build the confidence that comes from actually doing the work
What you get
+13 Realistic Supply Chain Projects
Core Skills Modules
AI Companion
Live Q&A Sessions
Deadlines + Accountability
Group Career Coaching
How the bootcamp works
Learn by solving, not watching.
The bootcamp is built around three principles. You learn through realistic supply chain analytics projects instead of spending weeks studying Python before using it.
The three principles
Reps over just theory.
01Project first. Syntax in the path.
02Build proof, not just knowledge.
03Where it leads
Practice
Capability
Proof
Confidence
Impact
How each project works
Each project takes 1–2 weeks, depending on its complexity. Tap a step to expand it.
A realistic supply chain or operations problem to solve.
Before coding, you define what is happening, what you need to investigate and what matters.
We introduce the concepts needed for that project, with the full coding foundations available if you need them.
Step-by-step notebooks guide the technical work without removing the thinking.
AI helps you debug and question your reasoning, not do the analysis for you.
Coding videos take you through our approach so you can compare your reasoning and execution.
You complete the final output by the deadline.
Built to keep you moving
The lessons are pre-recorded, so you can work around your schedule, but the bootcamp has a clear rhythm and deadlines.
- Project deadlines every 1–2 weeks
- Weekly challenges
- Live sessions every two weeks for questions and extra topics
- A community to network, learn and ask questions
- An accountability system to keep you progressing
Live sessions
Held Saturdays at 4:30 PM Paris time
What you'll build
Projects
Most projects are built in Python, combined with Excel and SQL, with one project focused on Power BI. Each starts with a realistic supply chain or operations problem you must identify before touching the data.
Skills you practise across the projects
Problem identification
Analytical thinking
Python for data analysis
SQL
Power BI
Data preparation
KPI analysis
Decision modeling
Forecasting
Automation
Visualization
Regression
Root-cause analysis
Business communication
The 12-week bootcamp
Project 02
Investigate inventory performance with SQL
Navigate a relational database, extract the data you need with SQL, calculate key inventory KPIs, and turn the results into a clear performance report.
SQLPython
Project 03
Decide what inventory to keep, discount or clear
Evaluate underperforming inventory and build a decision model that recommends what action to take for each product.
PythonExcel
Project 04
Build and evaluate a demand forecast
Create and compare forecasting models, measure their accuracy and bias, and communicate both the expected demand and the uncertainty around it.
Python
Project 05
Find the conditions causing your defects
Use regression to test each process condition against the failure rate, separate the ones that matter from the ones that only look like they do, and put a number on the effect.
Python
Project 06
Make your analysis easy to understand
Transform a correct but confusing analysis into a clear visual that makes the key finding and business decision immediately understandable.
Python
Project 07
Build a Power BI dashboard that finds the problem
Create an interactive dashboard that moves from high-level performance to the specific source of a production issue.
Power BI
Final project
Solve the problem from start to finish
Bring together the analytical thinking, technical skills and communication skills developed throughout the bootcamp, and automate the result into a tool your team can run without you.
PythonSQLExcel
Additional projects
Additional projects you can work through beyond the bootcamp weeks to keep extending your portfolio.
Project 09
Identify your slow-moving inventory
Define meaningful thresholds, classify your product portfolio and identify the inventory that requires attention.
PythonExcel
Project 10
Create useful analysis when the data is not ready
Transform unstructured business records into usable data, classify the product portfolio and identify the products that matter most.
PythonExcel
Project 11
Find out why service performance dropped
Investigate operational data to identify where service problems and rising logistics costs are coming from, then communicate the causes clearly to management.
PythonSQL
Project 12
Discover which products are bought together
Analyze transaction data to identify meaningful product combinations and turn those patterns into useful recommendations for the business.
Python
Project 13
Turn thousands of customer reviews into priorities
Analyze large volumes of written feedback to uncover customer sentiment, recurring themes and the areas the business should investigate first.
Python
The foundation
Build the foundation for advanced analytics
There is nothing worse than solving the wrong problem. Before going deeper into optimization, simulation or machine learning, you need to get the fundamentals right. Throughout the projects you practise these skills repeatedly, so you can confidently move on to more advanced analytical problems.
What you move on to next
Optimization · Simulation · Machine learning
rests on
01Problem identification
02Data preparation
03Python for analytics
04Core supply chain analysis
05Automation
06Decision-making & communication
What you build here
What you'll master
Core skills modules
Beyond the projects, you'll build the core skills needed to analyze problems, communicate insights and work more effectively with data.
Where it starts
Supply Chain & Operations Problem Solving
Frame the situation, define what to investigate and decide what actually matters. It's the problem identification every project is built on.
The modules
Analytical methods
- Inventory Financial Metrics
- Forecasting Fundamentals
- Regression & Statistical Root Cause Analysis
- Market Basket Analysis
- ABC Analysis
+ more methods introduced as each project needs them
Building with code
- Building MVPs in Python
- Excel-to-Python Translation
- Power BI Fundamentals
Communicating insights
- Presenting to Non-Technical Managers
- Data Storytelling
- Dashboard Design Principles
Getting hired
- How to Present Projects on LinkedIn
- How to Build a Portfolio for Recruitment
The goal: build a strong supply chain analytics foundation around Python, while learning enough SQL, Excel and Power BI to use them when the problem requires it.
Python
SQL
Excel
Power BI
Coding foundations
60+ coding topics, available when you need them
As you move through the projects, you get access to short modules covering the coding skills you need at that moment. You learn the code while using it to solve realistic supply chain problems, not in isolation.
Python basics
pandas
NumPy
Matplotlib
SQL basics
AI-assisted debugging
Get hired
Group career coaching
Live group sessions to help you turn your projects and new skills into a job.
1 Live group session
Supply Chain Resume Rebuild
Rework your resume around the analytical work you can now show.
2 Live group session
Networking & Positioning
Position yourself for supply chain roles and build your own network.
3 Live group session
Own the Supply Chain Interview
Prepare to talk through your projects and reasoning with confidence.
What this is
Analytics, not Supply Chain 101
We assume you already know supply chain from your studies or your job. The focus is solving those problems with analytics, not teaching the foundations.
Calendar
12 weeks, October to January
Onboarding
Saturday 17 October 2026
W118 Oct
W225 Oct
W31 Nov
W48 Nov
W515 Nov
W622 Nov
W729 Nov
W86 Dec
W913 Dec
Break20 Dec to 2 Jan
W103 Jan
W1110 Jan
W1217 Jan
Closure session
Saturday 30 January 2027
In their words
From learning the skills to actually using them
Ioannis Parmakis
“It cultivates the thinking and the approach for real supply chain problems.”
I was looking for a way to turn my theoretical supply chain knowledge into practical, job-ready skills. What surprised me most was how quickly the program moved from the fundamentals into meaningful, real-life projects.
It didn’t just teach me the code. It helped me develop the critical and analytical thinking needed to approach real supply chain problems.
Luis Suarez Ciniglio
“The projects gave me a way to finally show what I was capable of.”
Before joining the program, I had years of experience in supply chain, but I was struggling to find a role that matched my professional and personal goals. The practical projects helped me strengthen my skills and, just as importantly, show what I could do in interviews and on LinkedIn.
Stephania and Luis were there throughout the process, helping me navigate career challenges, position myself better, and communicate my experience. The projects, the confidence I gained, and their guidance helped me find a new position that makes me happy both professionally and personally within 3 months.
It was much more than a course. It helped me change my career.
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.
The people behind Savila Education
Instead of giving you the dull “I’m this, we’re that” bio you probably don’t care about, we’ll tell you what we believe:
- Proof creates confidence, and confidence creates impact.
- Feeling stuck doesn’t mean you lack talent. Sometimes, you simply lack the right skills.
- Curiosity and hard work are pretty damn good predictors of success.
- Coding and analytics are not reserved for “technical people.”
- Analytics is a key part of problem-solving. Better decisions can change a supply chain and the world around it.
- Technology should amplify human expertise, not replace it.
- Hands-on education can turn overwhelm into confidence and possibility.
- Every supply chain professional deserves the analytical skills to solve modern problems.
- When professionals grow, the entire supply chain industry moves forward.
Stephania Kossman
Co-founder · PhD in Mechanics
Former research scientist turned education entrepreneur. Steph focuses on turning complex technical topics into practical learning experiences professionals can actually use.
Luis Fernando Pérez
Co-founder · PhD in Operations Research
Researcher and professor of operations research at a leading business school in France, twice named Best Professor. Before academia, he spent 7+ years working in logistics and resource coordination in oil and gas.
Questions
Frequently asked questions
No.
You’ll have learning material to support you, but the bootcamp is built around doing the work: realistic supply chain projects, datasets, analysis, decisions and deliverables.
The goal isn’t to watch someone else solve problems. It’s to practice solving them yourself.
You don’t need to be advanced in Python.
You’ll have access to the foundations you need, while the projects push you to apply Python to actual supply chain problems.
We don’t expect you to spend weeks mastering syntax before you can start doing useful work.
Plan for approximately 7-14 hours per week.
The work is largely self-paced, so you can organize it around your schedule, but there are deadlines and accountability throughout the bootcamp.
This is not designed to be something you casually watch when you have time.
Yes, but we also want you to learn how to get yourself unstuck.
You’ll use an AI companion to debug, question your reasoning and help you move forward without doing the analysis for you.
You’ll also have solutions to compare your work against, live sessions where you can bring your questions, and a community where you can ask the other participants.
You’ll have practiced how to take a supply chain problem, work with the data, choose an analytical approach, use the appropriate tools and communicate what you found.
You’ll also leave with projects that give you evidence of that capability, rather than only another certificate to add to your CV.
You’ll have access to the bootcamp material for 12 months.
And there’s an extra incentive to do the work: if you complete all the case studies within your first 6 months, you unlock lifetime access to the material.
No.
Some students are trying to land their first analyst role. Others already work in supply chain or operations and want to move into more analytical work.
The common point is that you already have some exposure to supply chain and want stronger practical analytics experience.
It depends on your background.
The bootcamp can work well if you already have relevant experience in areas such as logistics, operations, manufacturing or another adjacent field and want to build stronger supply-chain analytics capabilities.
It is not designed as an introduction to supply chain from zero.
The bootcamp cannot guarantee a job, promotion or specific career outcome.
You need to do the work.
What it helps you build is the part you control: stronger analytical capability, realistic project experience, proof of your work and the ability to communicate that work to recruiters and managers.
Yes.
Beyond the analytical projects, we cover how to present your projects, build a portfolio, communicate your skills, improve your CV and position yourself for supply chain roles.
Because doing good work matters, but being able to show and explain it matters too.
The full price of the Supply Chain Analyst Bootcamp is €997, with VAT applied according to your country where applicable. You can also pay in 3 monthly payments of €332.33, at no extra cost.
If you applied for a scholarship, your scholarship result will tell you whether you received financial support and what your final tuition would be.
It comes with a 14-day money-back guarantee. The content opens on 17 October, and if you look at the work and decide by 31 October that it is not for you, write to us and we refund you in full.
No.
It is primarily designed for recent graduates and early-career supply chain professionals, but it can also be a strong fit if you have a few more years of experience and feel that your data and analytical skills haven’t kept pace with where you want to go in your career.
What matters most is that you already have supply chain or relevant operations experience and want to become stronger at solving problems with data.
If you’re looking for a passive course, a quick certificate, or an introduction to supply chain from zero, this isn’t the right program for you.
No. This bootcamp is designed to build a strong supply chain analytics foundation, not to go deep into advanced mathematical optimization, machine learning or a full simulation module.
You first need to become confident working with data, diagnosing problems, choosing analytical approaches, forecasting, building analyses and communicating your decisions.
Once you have that foundation, you’ll be ready to go deeper. Throughout the year, we also run additional workshops on more advanced topics that you can join as you progress.
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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email: hello@savilaeducation.com