Data Science is an interdisciplinary field of scientific

Data Science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining. 데이터 과학 은? Data Science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand analyze actual phenomena” with data. - Wikipedia

1974 - Peter Naur @ Uo. C , Datalogy & Data Science 2001 – William S. Clevelanc @ CSU “Data Science : An Action Plan …. “ 2002 – Committee on Data for Science & Technology (CODATA) 2003 – Journal of Data Science 2009 - Jeff Hammerbacher @ Facebook, What does a Data Science Do? 2010 – Drew Conway @ NYU , Data Science Venn Diagram 2010 – Hillary Mason @ O’Reilly “What is Data Science? ” 2011 – DJ Patil @ Linked. In, Data Scientist vs Data Analyst” “데이터 과학”의 역사

Data Science vs Machine Learning vs Data Analytics vs Business Analytics http: //blog. else-corp. com/2018/05/silver-blogdata-science-vs-machinelearning-vs-data-analytics-vs-business-analytics-kdnuggets/

“The Sexiest Job of the 21 st Century”. - Harvard Business School 데이터 과학 자?

Top 10 emerging jobs on Linked. In (2012 -2017) Data Science Job Trends Indeed. com job trends(Data Scientist, ML Eng. 2014 -2017)

f o b o J t s e i x y? r e u t S n e e h C T t s 1 2 e h t ? y l l a Re 데이터 과학 자? https: //blog. udacity. com/2014/11/data-science-jobskills. html

Best Data Science MOOC Machine Learning : https: //www. coursera. org/learn/machinelearning [현존하는 최고의 데이터과학 관련 강좌. 유명한 스탠 포드 공대의 Andrew Ng 교수가 강의자임) The Analytics Edge(MIT) : https: //www. edx. org/course/analyticsedge-mitx-15 -071 x-3

Data Scientists 선호 Software https: //www. kdnuggets. com/2018/05/poll-tools-analyticsdata-science-machine-learning-results. html

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