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Accueil > Graduate stories > Joan’s journey: learning Data Science while working full-time
If you’re considering a career change or want to upskill in tech without quitting your job, you’re not alone. More and more professionals are turning to part-time bootcamps to gain in-demand tech skills while keeping their careers on track.
We spoke to Joan, a Market Research professional from Barcelona, about his experience in Le Wagon’s part-time Data Science bootcamp. He shared how he managed full-time work and studies, and how the program helped him transition into a new role in tech.
My name is Joan, and I’m from Barcelona. I studied Economics and have been working in Market Research for several years. Before joining Le Wagon, I worked as a Panel Manager, focusing on monitoring panel health, usage, and recruitment needs. I tracked specific KPIs and conducted ad hoc analyses to optimize overall performance.
Over the last five years, I began learning SQL and R on my own, and they gradually became my go-to tools at work. I also completed a few Data Analytics courses, but always felt something was missing – I lacked the theoretical foundations to fully understand what I was doing.
That’s what pushed me to take the next step and join a Data Science & AI bootcamp at Le Wagon. I chose Data Science over Analytics to challenge myself and build a deeper skill set.
Curious about the difference between Data Analytics and Data Science? Explore the key differences in this blog post.
Since I wanted to keep my job, doing the bootcamp part-time was the only viable option. Le Wagon’s program gave me the flexibility I needed to balance both work and study.
My goals were clear: build strong foundations in data, learn Python, develop core Data Science skills, and step out of my comfort zone. I knew it would be a challenge for six months, but I saw it as an investment in myself and my future.
My company was very supportive and allowed me some flexibility when needed. I also had the chance to work from home, which made a big difference as no commuting meant more time for studying.
To stay consistent, I set a strict routine, relied heavily on coffee, and made a few sacrifices, especially cutting back on social life. It was intense, but the bootcamp’s structure helped me stay focused and not fall behind.
I was really impressed with how well organised everything was. The platform, structure, and support made sure we had all the tools we needed to succeed, even from a distance. It worked better than I expected, and I always felt there was help when I needed it.
The community side was also a positive experience. Ben, our Program Manager, was an excellent teacher and an even better person. He took the time to get to know each of us and kept us engaged throughout the journey. Most of the teaching assistants were also great, helpful and approachable.
As for classmates, the dynamic was good, but of course, forming deeper connections remotely can be a bit more challenging. Still, I always felt part of the group and supported throughout!
Wondering what it’s like to learn online? See what to expect from Le Wagon’s online part-time bootcamp.
After the bootcamp, I stayed with my previous company for about six months. I’ve now started a new role as a Product Data Analyst at a different company. I feel much more confident in my skills, and Le Wagon definitely played a big part in helping me make this transition.
As Ben always said: believe in the process. Some days it feels easy, others it feels overwhelming – but it’s all part of the journey. If you follow the structure, ask for help when needed, and lean on the TAs, it’s absolutely doable. I’d also recommend having basic programming knowledge before you start, it helps a lot in the beginning.
Joan’s story shows how a part-time Data Science bootcamp can open real doors without putting your job or personal life on hold. Whether you’re based in Barcelona, Madrid, Valencia, or anywhere in Spain, Le Wagon’s remote format and structured support make it possible to gain real-world tech skills on your terms.
Ready to take the next step? Here’s everything you need to get started:
📘 Check out the full curriculum

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