Data, Ducks & Dashboards. Meet James.

I've always enjoyed solving problems, especially the kind where you need to dig a little deeper to understand what's really going on. In my previous roles, problem-solving was the part of the job I naturally gravitated towards, and over time I realised I wanted to build on that skill in a more structured way. My interest in data analytics really took off after a job interview where tools like SQL, Excel, Power BI and Python were listed as 'nice to have' skills. At the time, I had very limited experience with them, which was nerve‑wracking, but it also made me realise this was an area I genuinely wanted to grow in. A fun fact about me is that once I get interested in something, I tend to go all in and learn as much as I can — I'm naturally drawn to creative things and I really enjoy making music and photography.

I found out about the bootcamp while searching for skills bootcamps and workshops in my local area. I was looking at both free and paid options and wanted something practical and hands-on, rather than purely theoretical. That's how I came across the bootcamp and decided to explore it further.

My main goal was to build real, practical skills that I could confidently use in a job. I also wanted to revisit a technical challenge I had been given during a previous interview and see how much my approach and results would improve after learning new tools and techniques. More generally, I wanted to feel more confident working with data.

A typical day usually started with me arriving early to prepare or ask questions (Matt could possibly argue too many questions!). The sessions were very well structured, with a strong focus on hands-on learning. Most of the time was spent using the tools, supported by explanations of the key concepts behind them. This balance made learning feel practical and engaging.

Some of the most important skills I learned were how to tell a story with data, how to tailor insights to different audiences, and how to manage scope so projects don't become overwhelming. These skills helped me think more clearly about what data is really saying and how to communicate it effectively.

My portfolio project focused on NHL hockey data, specifically the Anaheim Ducks, the team I follow. They've been... bad, to put it mildly, for quite a few seasons now. I analysed several seasons of data and created a dashboard highlighting areas the team needed to improve, such as power-play performance. It was challenging but rewarding, especially because it was a topic I genuinely cared about, which made the learning process more enjoyable. This season the Ducks are first in their division and currently in a position to make the playoffs. Coincidence? I don't think so...

I'm most proud of my Ducks project because it was personal to me. That personal connection made it easier to talk about the work with enthusiasm and confidence, which I think really comes across when sharing and presenting it to others.

One of the biggest challenges was managing the size and scope of my projects. I often wanted to do too much at once, which taught me the importance of starting small and building up gradually. It's easy to start off with too much data, and then only use 10% of it.

My biggest 'aha' moment was realising how important scope management is. I learned that it's better to start with a smaller, focused idea and improve it over time, rather than trying to do everything at once.

Matt would probably say my superpower is talking. Haha, but in all seriousness, I discovered that communication is one of my strengths. I also found I have a creative side when it comes to building dashboards and a natural curiosity for solving problems using tools like SQL and Python.

The bootcamp gave me practical experience and access to learning resources that I still use today. The access to DataCamp during and after the course is an excellent bonus — there are a ton of targeted courses that give you a start in loads of niche fields. If your role changes, or you discover a particular area that piques your interest, this would be the go-to place to start learning and exploring it. It also provided a supportive environment where I could learn from others, network, ask questions, and build confidence in my abilities. I suppose seeing Matt and Louize every now and then isn't bad either :)

The training venue is excellent. Well-equipped, with friendly staff and a great atmosphere. I find it much easier to focus and be productive there compared to working from home. You get an opportunity to focus, network, get good coffee and some career advice all in the same place. An asset to the local community for sure.

I currently work in an e‑commerce environment where I use many of the skills I learned, especially Excel. I've recently been asked to find ways to automate and improve some of the more laborious and outdated processes within our workstream, for which I am using Python to build small applications.

I want to continue developing my Python skills and explore more advanced areas such as AI tools. Most recently I have been exploring using and developing custom GPT agents that work in conjunction with a separate Python app. These are things I never imagined working on before starting the course.

My ability to communicate clearly is a big asset. In general, people working in data analytics and programming/development can be quite introverted — and I think being the opposite sets you apart. Being comfortable explaining ideas and talking to different people helps bridge the gap between technical and non-technical teams, which is something I learned in abundance in my previous roles.

What excites me most is how much my career direction has changed. I'm excited by the uncertainty in a positive way, knowing there are many paths I could take and plenty more to learn.

My advice would be to fully use the tools, space, and opportunities provided. The more effort and curiosity you bring, the more you'll get out of the experience. Be curious, ambitious and driven.

I'm always interested in collaborating on projects, listening and exploring other people's work. If you have something to share — definitely reach out! I'm usually at the Lounge on Thursdays and Fridays, so come and say hello!