How Data Science teams can be more methodical (step 1 of 2)
The case for Data Science teams being more methodical and an overview of the 3 most established methodologies used by Data Scientists today. Part 1 of 2.
The case for Data Science teams being more methodical and an overview of the 3 most established methodologies used by Data Scientists today. Part 1 of 2.
Experienced Data Science leader, Ryan den Rooijen shares how to be building capabilities in Data Science against the odds, without unicorns.
Guest blogger, Ryan den Rooijen, shares his experience of unicorn farming – recruiting the talent he needs for a data science team (part 1 of 2)
Making the case for more specialist roles as your Data Science team grows. Why specialists help & the Data Science specialis roles you will need.
As we come to the end of a month, focussed on Data Science, lets hear about the average week of a Data Scientist. On this […]
What are Data Beasts? Well, a topical idea, I was delighted to have, as another contribution from Francesco Corea. Francesco is currently a leading AI […]
Guest blogger, Martin Squires from Walgreen Boots, shares why you need an analyst at least as much as data scientists & why a medical analogy helps.
To complement the perspectives of our recent guest bloggers, today I’m sharing three ways of listening to data scientists. These will include a (potentially) free […]
Just because you can, doesn’t mean you should; this is perhaps the simplest way to introduce questionable practices. Last year we posted on the desire […]
Sharing personal data science stories from data scientists at different stages in their careers. From those starting out to experienced ones.
Guest blog post from Mark Sellors of Mango Solutions. Practical tips, to ensure you have prepared well, to achieve Data Science readiness.
Following on from guest blogger Michael Young’s first post on Data Scientists 2.0, this one shares next steps. MBN chairman, Paul Forrest, builds on what […]