Analyzing the Analyzers

Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking.

Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths.

This report describes:
Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data ResearchersCases in miscommunication between data scientists and organizations looking to hireWhy "T-shaped" data scientists have an advantage in breadth and depth of skillsHow organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists

Free International Money Transfer 💸Enjoy high maximum transfers into more than 20 currencies while saving up to 90% over local banks! The cheap, fast way to send money abroad. Free transfer up to 500 USD!AdvertorialScore: 5/5

What do you think about Analyzing the Analyzers: Harlan Harris, Sean Murphy & Marck Vaisman book? Ask the bookpedia.co community a question about Analyzing the Analyzers!

Analyzing the Analyzers ebook download link will be update!