Tag Archives for " Guest Post "

How AI Will Change Healthcare

Editor’s note: This piece was written in collaboration with the MAA Center, an online resource for those who have been exposed to asbestos and those looking to learn more about it. Lauren Eaton is a Communications Specialist at MAA. We hope this piece will give you an idea of how data is becoming a part […]

How to Overcome That Awkward Silence in Interviews

By Jillian Kramer We’ve all been there: what we thought was an excellent interview quickly degrades as we sit with the hiring manager in silence—left only to wonder what we have done wrong to encourage our colleague to stop speaking entirely. (Talk about awkward!) And so, we get it: “The silence in an interview is […]

Preparing for the Data Science Job Hunt

Editor’s note: This piece was written in collaboration with SwitchUp, an online platform for researching and reviewing technology learning programs. Erica Freedman is a Content Specialist at SwitchUp. Job hunting is stressful, especially if you’re moving into an entirely new field. In this post, I give tips on finding data science jobs, looking up salaries, […]

DIY AI for the Future

Editor’s note: This post is the result of a collaboration with PredictX, a decision automation platform. Author Joni Lindes is a content writer at PredictX. AI is set to disrupt our current society on a major scale. According to Indeed, the number of roles in AI has risen by 485% in the UK since 2014, […]

Take These 7 Small Steps To Make a Big Career Move

By Michele Lando One of the biggest fears many people face when it comes to career development is how to change or transition careers without getting pigeonholed into one industry or field. Believe it or not, changing careers isn’t as difficult as you may think. To make things a little less intimidating, here are 7 […]

How to Overcome Impostor Syndrome For Good

I was working at a job I loved when I started to wonder whether I was a bit of a fraud. Digital strategy and client service was my forte. But when I was offered extra responsibilities that suddenly had me leading meetings with top affiliate global marketers (while I had minimal experience in that field), I […]

This Artist Turns the Forest Floor into Data Visualizations

Editor’s note: This post was written as part of a collaboration with iDataLabs, a marketing intelligence company. Author Julia Cook works in marketing at iDataLabs. We’re all familiar with data visualizations — word clouds, pie charts, pivot tables — but how does one put enquiries in paint? Patty Haller, a landscape artist from Seattle WA, may have figured that […]

Using Box Plots to Explore Women’s Height Data

I’ve recently been working on the Digital Panopticon, a digital history project that has brought together (and created) massive amounts of data about British prisoners and convicts in the long 19th century, including several datasets which include heights for women. Adult height is strongly influenced by environmental factors in childhood, one of the most important […]

Five Reasons for Historians to Learn R

In which I do some cheerleading for the R Project for Statistical Computing. 1. You’re almost certain to find it worth the effort Often, in the endless “should academics learn to code” debate, it’s not clear to newcomers what you can actually use this code for once you’ve invested a lot of time in learning […]

Learning From Bank Data: Women Across the World

This post looks at the World Bank World Development Indicators (WDI). This massive collection has data in several categories: demographic, education, work, poverty, health. It includes both country-level data and various aggregates by different criteria: geographical regions, income levels, etc. The UK Data Service has a useful guide as well as access to the data. […]

Exploring Women’s Army Auxiliary Corps Data

Today I want to go on an excursion in “catalogues as data“. The UK National Archives’ Discovery catalogue is an excellent resource for this activity, because a) it has a lot of records that have document descriptions at ‘item’ or ‘piece’ level in the catalogue, containing quite structured information (like dates, places, occupations) that can […]

5 Ways to Find Interesting Data Sets

Editor’s note: This post was written as part of a collaboration with Enigma, a public data company. Author India Kerle is a data curator at Enigma. There are a canon of open datasets used widely in data science projects — you’ve likely come across something making use of the Iris Flower classic or New York’s […]

10 Data Science Projects You Can Join Today

Editor’s note: This post was written as part of a collaboration with data.world, a site for sharing and hosting data. Authors Shannon Peifer and Gabriela Swider are on the data.world team. Finding the right data can be difficult. And even once you have it, how do you collaborate with others to make sense of it? […]