Python and R for the Modern Data Scientist by Christopher J. Lortie

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Book Review: The Accidental Data Scientist by Kevin Read

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Towards an ELSA Curriculum for Data Scientists by Maria Christoforaki, Oya Deniz Beyan

“…In this paper, we propose an ELSA curriculum for data scientists aiming to raise awareness about ELSA challenges in their work, provide them with a common language with the relevant domain experts in order to cooperate to find appropriate solutions, and finally, incorporate ELSA in the data science workflow. …”
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Quantifying the reputation and success of data scientists by Loh, Renice Yi Xuan

“…We investigate the career trajectory of data scientists and assess the impact of various factors on success and reputation by identifying data scientists with a central influence. …”
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Quantifying reputation and success of data scientists by Soh, Isaac Wei Yang

“…This project exploits network science techniques to understand and predict success of data scientist. We utilize Database Systems and Logic Programming (DBLP) datasets to track the career of data scientists in data management conferences over time and perform network analytics to understand and quantify their career success. …”
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Data Architecture : A Primer for the Data Scientist / by Inmon, W.H., author 181998, Linstedt, Daniel, author 648568, Levins, Mary, author 648569, ScienceDirect (Online service) 7722

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Training data scientists in the era of big data by Yangyong ZHU, Yun XIONG

Subjects: “…data science;data scientist;talents training;big data…”
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Data Scientists’ Skills in Detecting Archetypes in Iran by Hamideh Iraj, Babak Sohrabi

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Data Scientists Should Be Value-Driven, Not Neutral by Lord Tim Clement-Jones

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Data Scientists Discuss AI Risks and Opportunities by David Banks, Gerard de Melo, Sam (Xinwei) Gong, Yongchan Kwon, Cynthia Rudin

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The Promise of Portfolios: Training Modern Data Scientists by Deborah Nolan, Sara Stoudt

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Lessons from the Classroom: MEI for Data Scientists by Richard Freedman, Daniel Russo-Batterham

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Fostering Better Coding Practices for Data Scientists by Randall Pruim, Maria-Cristiana Gîrjău, Nicholas J. Horton

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The Hiring Gambit: In Search of the Twofer Data Scientist by Radu V. Craiu

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What Are the Values of Data, Data Science, or Data Scientists? by Xiao-Li Meng

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What Does It Take to be a Successful Data Scientist? by Michael R. Berthold

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Building a Community of Data Scientists: An Explorative Analysis by Lei Liu, Hui Zhang, Jianhui Li, Runqiang Wang, Luqing Yu, Jianjun Yu, Peisen Li

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Malaysia needs extra 12,000 data scientist by New Sarawak, Tribune

“…Putrajaya: An additional 12,000 big data scientists are needed within the next five years to spur Malaysia's data-driven economy, says higher Education Minister Datuk Seri Idris Jusoh.…”
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Beyond Unicorns: Educating, Classifying, and Certifying Business Data Scientists

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Big Data and Small: Collaborations between ethnographers and data scientists by Heather Ford

“…In the past three years, Heather Ford—an ethnographer and now a PhD student—has worked on ad hoc collaborative projects around Wikipedia sources with two data scientists from Minnesota, Dave Musicant and Shilad Sen. …”
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