Alumni story: Rodrigue enhances his data skills to better analyse and automate his tasks

PROMO 2025

Rodrigue Harnais

Data Analyst 

Read Rodrigue's inspiring testimonial!

Can you tell us about your background before joining the course?

My name is Rodrigue, I'm 30 years old, and I originally trained at an engineering school specialising in construction, with a focus on energy and resource optimisation. For several years, I worked on energy performance projects, analysing consumption, optimising processes and implementing more sustainable solutions for various players in the sector.

Over time, I realised that exploiting data was becoming a major issue in my field. I started to manipulate figures, reports and statistical models, but with limited tools like Excel. I wanted to go further, to have more powerful methods and to better understand the trends and correlations in the data.

That's when I decided to do some serious training in data analytics to develop more solid skills and be able to use more advanced tools.

Why did you choose the School of Data for your training?

I was immediately attracted to Artefact because it's one of the few courses that takes place directly on the company's premises. This immersive setting was a real advantage for me, because it meant I could get as close as possible to the business issues and interact with professionals in the field.

By joining this course, I knew that I was going to be in direct contact with experts in data analytics, which was a unique opportunity for me to learn from those who apply these skills on a daily basis.

Another point that influenced my choice was the balance between theory and practice. A lot of training courses simply present concepts, but here you apply what you learn immediately, which makes it much easier to develop your skills.

What aspects of data analytics training did you particularly appreciate?

What I liked most was the way the days were organised:

In the morning, we had theory classes to learn the fundamental concepts. In the afternoons, we moved straight on to practical applications. This pace was really ideal, because it allowed us to consolidate what we'd learned quickly and avoid the 'too much theory, not enough application' effect that can sometimes be found in other courses.
Another strong point was the proximity with the trainers. They are professionals in the field, always available to help and advise us. I appreciated their teaching methods and their very pragmatic approach, which encouraged us to think like analysts and find solutions ourselves.

Finally, I also liked the emulation between the participants. We were surrounded by people with a wide range of backgrounds and experience, which encouraged discussion, mutual support and knowledge-sharing.

How has this training contributed to your professional development?

This training has enabled me to make significant changes in the way I work. Before, I mainly used Excel and traditional tools for my analyses. Today, I've mastered Python, SQL and other key data analytics technologies, enabling me to automate repetitive tasks, handle larger datasets and produce much more advanced analyses.

What are your ambitions for the future?

The training really helped me to develop my working methods. Initially, I worked mainly in Excel, but thanks to this programme, I've been able to develop new skills. Today, I can code in Python and automate certain tasks, which allows me to simplify and optimise processes that were previously long and tedious.

If you had to describe the School of Data in one word, what would it be?

So there's only one word for it: Game Changer. This course has completely changed the way I approach data analysis and given me the tools I need to go further. Today, I feel more competent, more confident and ready to take on new challenges in data analytics.