Please enable JavaScript.
Coggle requires JavaScript to display documents.
The history of Data Science (the key people involved in developing modern…
The history of Data Science
the key people involved in developing
modern day data analytics
1974 Peter Naur publishes Concise Survey of Computer Methods1974 Peter Naur publishes Concise Survey of Computer Methods
1962 John W. Tukey writes in “The Future of Data Analysis
”
Who? Where did they work? What technology did
they
example
1977, Tukey published Exploratory Data Analysis,
1996 Members of the International Federation of Classification Societies (IFCS) meet
2001 William S. Cleveland publishes "Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics."
(March 2007). Thomas H. Davenport, Don Cohen, and Al Jacobson with Jeanne G. Harris the book Competing on Analytics: The New Science of Winning
The use of Analytics by business can be found as far back as the 19th century, when Frederick Winslow Taylor initiated time management exercises. Another example is when Henry Ford measured the speed of assembly lines.
wikipedia------below are data analysis
information visualization ：
https://en.wikipedia.org/wiki/Ben_Shneiderman
【【【【【
https://en.wikipedia.org/wiki/John_Tukey
John Wilder Tukey ForMemRS was awarded the National Medal of Science by President Nixon in 1973.[6] He was awarded the IEEE Medal of Honor in 1982 "For his contributions to the spectral analysis of random processes and the fast Fourier transform (FFT) algorithm." He is also credited with coining the term 'bit'】】】】】
How does Data Science differ from Statistics (or
are they the same thing)
point 1: data science still statistics.
point 2：data analysis is intrinsically an empirical science
point 3： January 2003 Launch of Journal of Data Science: “By ‘Data Science’ we mean almost everything that has something to do with data: Collecting, analyzing, modeling...... yet the most important part is its applications--all sorts of applications. 【June 2010 Mike Loukides writes in “What is Data Science?” They are inherently interdisciplinary】【September 2010 Hilary Mason and Chris Wiggins write in “A Taxonomy of Data Science” support】
September 2011 Harlan Harris writes in “Data Science, Moore’s Law, and Moneyball” : “’Data Science’ is defined as what ‘Data Scientists’ do.
May 2009 Mike Driscoll writes in “The Three Sexy Skills of Data Geeks”: “…with the Age of Data upon us, those who can model, munge, and visually communicate data—call us statisticians or data geeks—are a hot commodity.”
1997 C. F. Jeff Wu calls for statistics to be renamed data science and statisticians to be renamed data scientists.
In 2009, Yangyong Zhu and Yun Xiong, publish “Introduction to Dataology and Data Science,” in which they state “Different from natural science and social science, Dataology and Data Science takes data in cyberspace as its research object. It is a new science.”
https://en.wikipedia.org/wiki/Data_science
What do you think the future of Data Science
will be
Now, data science is combined with specific situations, such as the financial sector, risk control, Internet, logistics, etc., to solve specific problems.
Data science has been broken down into financial data science, IoT data science, and in the future it may be more subdivided and analyzed for all data.
In the (far) future, automated tools for statistical analysis and machine learning like Automatic Statistician, Ayasdi Core, and Skytree
