The 7 days challenge, learn to automate a repetitive task thanks to your data

In 7 days, learn how to transform manual reporting into an automated system to recover several hours each week.
The problem
Many engineers still spend several hours a week on:
- Clean up Excel files
- Correct data errors
- Redo the same charts
- Prepare manual reports
This work is necessary… but it shouldn’t be repetitive.
I myself have faced this kind of situation and, due to the weariness of performing these kinds of actions, the questioning of their usefulness and the waste of time that it causes, I started to automate repetitive tasks.
Vision
Imagine:
You upload your raw files to a folder…
You run a script…
and your PDF report is automatically generated, clean and reliable.
👉 That’s precisely what I show you in this free guide:
how to move from manual processing to an automated process.
What you are going to do:
In 7 days, you will:
- Identify a repetitive task
- Structure the data correctly
- Automate key steps
- Reclaim several hours of work per week
For whom
This challenge is designed for:
- Industrial engineers
- Maintenance engineers
- Methods engineers
- Technical analysts
who regularly handle data or reports.
This challenge is not for you if:
- You are looking for a comprehensive data science course
- You want to learn advanced machine learning
- You never use data in your work
The program:
The full details are explained in the guide, but here are the main steps:
- Day 1: Mass Data Reading
- Day 2: Automatic Data Cleaning
- Day 3: The Power of Vectorized Computing
- Day 4: Data Aggregation
- Day 5: Interactive Curve Management
- Day 6: Pipeline Creation
- Day 7: Automatic final Report Generation
If you are working with large volumes or more complex systems, these problems often require a more holistic approach.
👉 In that case, I can help you with:
- Identify time wasters
- Improve the reliability of your processes
- Structure your data flows
👉 You can contact me to discuss this: thibaut@defactodata.com
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