Click here to learn more about author Jon Bock. There has been much anticipation that businesses would find relief for their analytics headaches in Hadoop, the open source software for distributed processing and distributed storage of large data sets across clusters of commodity or cloud hardware. There is no doubt Hadoop systems can handle large […]
The Vocabulary of Data Science: A Guide
by Angela Guess David Kil and Mark Killiron recently broke down the vocabulary of data science on EdSurge.com for students, non-data professionals, and anyone interested in learning more about this burgeoning field. Their list of terms includes, “DESCRIPTIVE ANALYTICS: Examines historical data and identifies trends or patterns over time from known facts to inform future […]
Putting Notebooks to Work in Data Science
by Angela Guess Dan Osipov recently wrote in Datanami, “Interactive notebooks are experiencing a rise in popularity. How do we know? They’re replacing PowerPoint in presentations, shared around organizations, and they’re even taking workload away from BI suites (more on that later). Even though they’ve become prominent in the past few years, they have a […]
Web Scraping for Data Science — Part 2
Click here to learn more about author Steve Miller. Read Part 1 of this blog series here. Between R and Python, analytics pros are covered on most data science bases R-Python. In last month’s blog, I discussed simple webscraping using Python in a Jupyter notebbok, the nifty css-generating tool SelectorGadget, and the Python XML and HTML handling package lxml. […]
Will Data Scientists Soon Be Obsolete?
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 […]