Sharing 4 resources to help you prepare for technical questions & tests, as part of assessment process for analyst or data scientist roles.
Which tools should you ensure analysts have in their toolbox? Guest blogger & experience Analytics leader, Martin Squires, shares his recommended tools.
We’ve shared before the lessons that can be learnt from Design Thinking and the potential benefit of Hackathons. Although previously reserved to tech companies or […]
As promised, I’m returning to our series covering data science programming languages, this time-sharing resources for Julia. (Plus I now include a link to JuliaCon […]
Sharing a range of resources for Python as a data science programming language, from book to learn Python, to cheatsheets for libraries to add & events.
This month, let’s turn our attention to Data Science programming languages; today, resources for R. Ever since the rise of R as an alternative to […]
Whilst we focus on events & applications of customer insight for businesses, what has been going on in the wider insight world? Here are a […]
How long does it take to build your insurance pricing models? At what cost, especially if this work is completed by highly paid actuaries? In […]