by Angela Guess Bernard Marr recently opined in Forbes, “The job of data scientist — the quintessential big data job, and the job that was just voted the best job in America for 2016 — is at risk. Data scientists have been called ‘unicorns’ because finding the right person with the right set of skills […]
UK to Set Up a Council of Data Science Ethics
by Angela Guess Rebecca Bazeley recently wrote in PHG Foundation, “The UK Government is to set up a Council of Data Science Ethics. The development comes in response to recommendations from the Science and Technology Committee’s report The big data dilemma published earlier this year. The Council of Data Science Ethics will be established within […]
Bigger Data Science Teams Lead to Better Business Outcomes
by Angela Guess Bob Hayes recently wrote in Business2Community, “Businesses are teeming with data. As a result, business leaders are building up their data science capabilities to help make sense of their data. Our research showed that an effective approach to optimizing the value of that data is to build data science teams rather than […]
A Liberal Arts Approach to Data Science
by Angela Guess George Mount recently wrote in Smart Data Collective, “This week I read a great piece by Adam Weinberg, the president of Denison University, on his school’s initiatives to apply a liberal arts approach to data science. This is shocking to most, but why? Let’s diagram this phrase ‘data science’ (English skills!). Data […]
Selling the Value of Data Science, Governance or Analytics
Click here to learn more about Kimberly Nevala. I’ve recently participated in a number of executive forums on the rewards and realities of creating data-savvy and analytically-enabled cultures. Interestingly, one key theme comes up repeatedly in audience Q&A: how to make the case? Seems simple enough, but this step often causes those who understand the […]
The Nation’s First CDO, DJ Patil, on Data Science
by Angela Guess Chau Tu writes in Science Friday, “It’s been only eight years since DJ Patil—then the data and analytics lead at LinkedIn—co-coined the term “data scientist,” but the profession has already become one of the most popular in the country. Patil has long been involved in the data industry. As a doctoral student […]
5 Tips for Getting Started as a Data Scientist
by Angela Guess Roger Huang recently wrote in Dataconomy, “Over the past year, we’ve talked to a lot of aspiring data scientists. The one question we hear a lot is: ‘I’m an X major who wants to be a Data Scientist. Where do I start?’ So we’re sharing 5 important tips that will help you […]
12 Inspiring Women in Data Science
by Angela Guess Jessica Davis recently wrote in InformationWeek, “Women made up 27% of people employed in computer and mathematical occupations in 1960. But instead of growing over several decades, as many more women participated in the workforce overall, that number had declined to 26% by 2013, according to a 2015 analysis of US Census […]
What Hiring Managers Need to Understand About Data Scientists
by Angela Guess Michael Li recently wrote in Entrepreneur.com, “At The Data Incubator, I’ve spoken to hundreds of employers looking to hire data scientists — particularly those with advanced degrees. With all the hype surrounding big data these days, it’s unsurprising that there’s as much misinformation floating around as there are facts. Unfortunately, hiring managers […]
A Guide to Python and R: When to Use Which for What
by Angela Guess Roger Huang recently wrote in The Next Web, “At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors and learners. Data science is the sexiest job […]