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2. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]

3. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]

4. Exponent, Inc. - Wikipedia

   en.wikipedia.org/wiki/Exponent,_Inc.

   Exponent, Inc. is an American engineering and scientific consulting firm. Exponent has a team of scientists, physicians, engineers, and business consultants which performs research and analysis in more than 90 technical disciplines. The company operates 20 offices in the United States and five offices overseas.

5. Point factor analysis - Wikipedia

   en.wikipedia.org/wiki/Point_factor_analysis

   Point factor analysis (PFA) is a systemic bureaucratic method for determining a relative score for a job. [1] Jobs can then be banded into grades, and the grades used to determine pay . [ 2 ] PFA is a type of job evaluation ; the main advantage of PFA is that it is systemic and analytical.

6. Social data science - Wikipedia

   en.wikipedia.org/wiki/Social_data_science

   Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...

7. Cassie Kozyrkov - Wikipedia

   en.wikipedia.org/wiki/Cassie_Kozyrkov

   [citation needed] Her area of focus at Google is on applied AI and data science process architecture. [7] [better source needed] Cassie Kozyrkov during the opening day of Web Summit 2019. Kozyrkov is also a technology evangelist and has been called a data science thought leader. [8]