Despite the plethora of good books on topics like Data Visualisation, very few cover how to deliver Guerrilla Analytics. By that, I mean beyond the theoretical ideals of Data Science textbooks. Beyond just the coding challenges of how to use R or Python to encode a question. Books that engage with real-world challenges for analysts. So, I am delighted to
Continuing Martin Squires series on the tools that should be in a good analyst toolbox. In part 2, Martin moves on to focus on the people skills that are needed. I use the term people skills for a couple of reasons. Firstly, there has been some online outrage at the overuse of the term Softer Skills. Secondly, because
Continuing our theme of tools for analytics teams, what tools should analysts have in their toolbox? It’s a broad question and one with diverging views. So, I am delighted to welcome back a guest blogger who doesn’t shy away from controversy. Martin Squires is a very experienced Analytics leader, whom I’ve previously interviewed in our audio series. He has
I recently discovered a LinkedIn debate over whether or not non-data scientists could lead data science teams. The debate was polarised between those arguing for technical knowledge & those who focussed on leadership skills. As well as being fascinating and relevant, I was glad to see one voice arguing for leadership. Andy Sutton is Head of Data &
Last week I had the pleasure of working with the University of South Wales (USW) to help non-technical people understand Data Science. More specifically, I was running a Masterclass entitled “Everyday Data Science“. The brief was to demystify this topic for a diverse audience. It was clearly popular as it drew a good
Building on our month focussed on controversial topics, let’s turn to what will set your team up for success. Different contexts can require different types of the analytics team. A lot of the advice that I offer within the Opinion section of this blog is based on a lifetime leading teams in large corporates.