Fix messy supply chain data with Python
Free hands-on tutorial: Data cleaning & analysis
No previous Python experience is required.
Spending hours cleaning data? There’s a faster way.
🚨 Imagine this: Your boss asks you to analyze sales data from the past 5 years.
He sends you the “database”...
We all know what that means 🤦🏻♀ multiple Excel files, multiple tabs …CHAOS.
😩 Duplicates, missing values, inconsistent formats.
⏳ Manually cleaning data? Hours wasted.
💥 Excel crashing? Of course.
Here’s the fix: Python cleans and structures your data in few minutes.
✅ Save time & reduce errors
✅ Handle large datasets without crashing
✅ Automate the process & focus on insights
Get the free hands-on tutorial
Before you say anything!
No, you don’t need to be a programmer.
Python isn’t some cryptic, engineer-only language.
It’s actually one of the most user-friendly programming languages out there.
You don’t need to code from scratch—you just need the right methods to make it work for you.
This free tutorial will show you how.
Not generic theory—this is actionable code you can try right away.
We’ll walk you through:
✅ Cleaning and structuring 5 files corresponding to 5 years of wholesaler transaction data across multiple cities (12 tabs per year, plus 1 additional file with wholesaler locations).
✅ Joining multiple datasets (because that’s just life in supply chain).
✅ Handling missing values and inconsistent entries—without manually fixing them one by one.
✅ Answering a key question like which region has the highest sales—with clean, structured data.
What you get
You will get direct access to:
📹 A step-by-step video tutorial (so you’re never lost).
📂 The actual datasets (so you can follow along).
📄 The code in a PDF like document (so you can copy, paste, and use it ASAP).
Why is Python relevant for you?
Supply chain is evolving fast—that’s a fact.
Companies like Walmart, TikTok, and Amazon now require Python skills, even for intern roles.
Skills like AI, big data, and analytical thinking are booming in supply chain, and Python is at the center of it all.
Python won’t just save you time—it’ll make you stand out.
🚀 You CAN learn this. And once you do, you’ll wonder how you ever worked without it.
Get the free hands-on tutorial
Still here?
About us
Co-founder Savila Education
I started my career in the oil and gas industry, solving complex supply chain problems—because let’s face it, that’s a tricky industry.
During my PhD, I focused on operations research (answering questions like: How much inventory to keep? Where to place warehouses? How to deliver faster?). My goal is to help you think critically and solve challenges strategically, with Python as your best friend, so you can take control of your career.
CEO Savila Education
I’m the one who makes things happen, and I’ll be your program coordinator at Savila Education.
After earning my PhD and working as a researcher, I started my entrepreneurial path—a tricky but rewarding journey that has taught me the power of persistence and creativity.
Now, I’m focused on building programs that help professionals grow, stand out, and achieve their goals. I’m obsessed with getting results and making sure everything we create is practical, impactful, and worth your time. My mission? To give you the tools and confidence to take charge of your career.
About Savila Education
We founded Savila Education with one mission: to help professionals stand out, love their work, and achieve more.
We believe education should be practical, engaging, and unforgettable. That’s why we’ve studied how to improve learning outcomes through gamification, self-awareness tools, and actionable strategies.
Our goal is simple: to turn professionals into exceptional leaders who shape their own careers and thrive in their industries.
PS 1: PS: Who said Python isn’t for supply chain and logistics? They were wrong—simple as that. They’re just stuck doing things the way they’ve always been done. But you are not them 🙌
PS 2: This goes beyond learning Python for supply chain; it’s about a new way of reasoning and thinking.