Why are data scientists so bad at science?

Do you check your inputs?

It’s rare that I am intentionally provocative in my post titles, but I’d really like you to think about this one. I’ve known and worked with a lot of people who work with data over the years, many of who call themselves data scientists and many who do the role of a data scientist but by another name1. One thing that worries me when they talk about their work is an absence of scientific rigour and this is a huge problem, and one I’ve talked about before.

The results that data scientists produce are becoming increasingly important in our lives; from determining what adverts we see to how we are treated by financial institutions or governments. These results can have direct impact on people’s lives and we have a moral and ethical obligation to ensure that they are correct. Continue reading Why are data scientists so bad at science?

Professional body for data science? Yes Please

Statistically significant
My new prized badge from the RSS

This week I was delighted to be at the Royal Statistical Society as a business representative for the launch of their Data Science Section. At over 160 years old, the RSS is one of the more established professional bodies and I like that it is questioning and making a difference as the application of their industry changes and when faced with an increasing challenge of abuse of statistical methods. I wish the general public had a greater understanding of statistics so they wouldn’t be so easily swayed by the media with a simple graph “proving” a point. Continue reading Professional body for data science? Yes Please

MST210 – Exam and modelling exercise reflections

Revision day essentials – revising in 1 day is not recommended

This week was the exam for my level 2 OU module MST210 on methods, models and modelling.  This was a compulsory module, but had it not been I would have never chosen it.  The module has been mostly applied maths, which has been really interesting, but what’s been a problem for me has been the mandatory team work modelling exercise, which makes up 16% of the continuous assessment.  So much so, that I lost motivation to do the final TMA or revise for the exam as much as I wanted to.  I thought it would be worth a short reflection on why I disliked this aspect so much (especially as it led to a repeat of last year when it came to revision…). Continue reading MST210 – Exam and modelling exercise reflections

Smart watch insights – now I can’t do without it

Watch, fitness, weather, smart home control all in one

A couple of weeks ago I got an iWatch.  I’d had a Nike fuel band before and am no stranger to wearable tech, but I’ve never really worn a watch.  I’ve been surrounded by things that tell us the time since I was a child so I’ve got used to not wearing anything on my wrist1  However, when my other half decided not to wear his, I thought I’d give it a go before we sold it. Continue reading Smart watch insights – now I can’t do without it