How to be a modern scientist (Polskie Wydanie)
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How to be a modern scientist (Polskie Wydanie)

O książce

Oblicze świata akademickiego się zmienia. Nie wystarczy już tylko publikować albo przepadnąć. Żyjemy w erze, gdzie Twitter, Github, Figshare i Alt Metrics są stałymi elementami naukowego procesu pracy. W tej książce udzielam ogólnych porad dotyczących tego, które narzędzia wybierać, jak z nich korzystać i na co zwracać uwagę. Jest ona odpowiednia dla naukowców na wszystkich poziomach, którzy chcą być na bieżąco z bieżącymi technologicznymi trendami wpływającymi na nowoczesne kariery naukowe. Książka jest częściowo oparta na popularnych przewodnikach autora, w tym:

Książka jest najbardziej odpowiednia dla studentów na poziomie magisterskim i doktorantów z dziedziny nauk, ale może zainteresować także innych, którzy chcą dostosować swój proces naukowy do korzystania z nowoczesnych narzędzi.

O autorze: Jeff Leek jest profesorem nadzwyczajnym biostatystyki na Johns Hopkins Bloomberg School of Public Health. Jest współzałożycielem i współdyrektorem Specjalizacji w dziedzinie nauk o danych Johns Hopkins na Coursera, na którą zapisało się ponad 3 miliony przyszłych specjalistów od danych. Jego badania przyczyniły się do zrozumienia genetycznej podstawy rozwoju mózgu, urazów tępych i raka. Pisze blog na Simply Statistics i można go znaleźć na Twitterze pod adresem @jtleek i @simplystats

This book is a translation into Polski of How to be a modern scientist which was originally written in Angielski.

O autorach

Jeffrey Leek
Jeffrey Leek

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

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