Hi ,
We all want to live long, happy and healthy lives, and in the age
of technology, it comes as little surprise that people are turning to data for help.
Between smart watches, Oura rings and even just fitness apps like Strava, we’re all generating massive quantities of personal health and fitness data each day, sometimes literally in our sleep. But that data is
only valuable if it can be converted into useful insights.
In the latest episode of Value Driven Data Science, I'm joined by Dr Torri Callan, data scientist at Australian start-up UAre, to discuss how health tech start-ups are now looking to do just that.
This is the third part of a three-part special focussing on the use of data science in start-ups.
Some of the things we discuss in this
episode include:
- How UAre is using data science to encourage people to exercise more and improve their lives.
- The challenges of combining data from multiple sources.
- How to go about building a data product from absolutely nothing.
- The importance of domain knowledge and research when building a health tech app.
- What
are Bayesian methods and how can they raise the level of rigour of statistical analysis?
You can listen to this episode by clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
