Data Science Stories for September


Get up to speed with the latest from the world of data science after the ‘September Slowdown’. Read about news stories from Asia’s smartphone addicts to the ‘Azure Revolution’.

  • /r/datasets – An alternative way of acquiring open data. Leave a request, or perform some analytics on data sets that previous Redditors have posted.
  • Asia’s Smartphone Addiction – Could you be a sufferer of nomophobia?
  • Blab.IM – A popular new alternative to Google Hangouts where up to four people can collaborate and chat about a particular topic. If it’s interesting enough, you can save your broadcasts and watch them back later.
  • Can Performers Evolve With Data? – Rana June of Lightwave talks briefly about using wearable devices to measure audience engagement.
  • Everything You Need To Know About Hadoop – In one visualisation!
  • Germany’s Refugees – Some simple visualisations and explanations by The Guardian on where Syrian asylum seekers are migrating.
  • Hacked Jeep Update – Remember the hackers who hacked into a Jeep Cherokee last month? Even after Fiat Chrysler recalls 1.4 million cars and sends out a software patch, there are still security issues surrounding them.
  • Locked-Down Data – An insightful opinion piece on what the world might look like in a ‘data drought’, especially in an age where people are losing trust in how their data is being used.
  • Redshift vs RDS Postgrad – The lazy analyst’s guide.
  • Sherlock Holmes and Data Detectives – Six teachings taken from the classic books that transfer over to big data analytics.
  • Sickly – Learn more about a startup that makes use of open data to track the movement of illnesses that are being spread and allows parents to report their child’s illness from home confidentially.
  • The Azure Revolution – Why Microsoft’s purchase of Revolution Analytics is good for ‘outsiders’.
  • Thingful – Another cool startup. See what weather, temperature and air quality patterns (and more) are like in areas all over the world through data collected by Internet of Things devices.
  •– Some beautiful visualisations of data structures and how analytics algorithms work, some of which are complete with explanations and example code.
  • When Big Data Becomes Bad Data – A response article in light of The Princeton Review’s geographic pricing strategy which inadvertently lead to Asian students in USA being priced more for the same tutoring packages.

Latest from this author