Posts Tagged: data science

Should You Be a Data Scientist?

Paradoxically, given the breadth of what “data science” means, the specific training and expertise is often very narrow. Students and young professional need to be well informed of the options and their personal strengths in programming, analytics, or subject matter expertise to apply the output of data science to their academic training.

Intelligence Analysis Methods in Scientific Literature

Intelligence analysis methods in scientific literature In a case study I recently completed I had the welcome opportunity to explore in more detail an interesting phenomenon in scientific publications: selective presentation of study results to scientific audience. The example below illustrates publication bias and multiple publication bias at its “best”. Whilst I do not underestimate… Read more »

Introducing the New Data Science Group

“The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey’s Business Technology Office. Leaders in every sector will have to grapple with the implications of… Read more »