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  2. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary ... it incorporates skills from computer science, ... and data visualization, as well as the ability to communicate findings ...

  3. Data literacy - Wikipedia

    en.wikipedia.org/wiki/Data_literacy

    Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [1]

  4. 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 ...

  5. 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 ]

  6. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    Analytical skill is the ability to deconstruct information into smaller categories in order to draw conclusions. [1] Analytical skill consists of categories that include logical reasoning, critical thinking, communication, research, data analysis and creativity.

  7. Master in Data Science - Wikipedia

    en.wikipedia.org/wiki/Master_in_Data_Science

    When Harvard Business Review called data scientist "The Sexiest Job of the 21st Century" the term became a buzzword, [4] and is now often applied to business analytics, or even arbitrary use of data, or used as a term for statistics. While many university programs now offer a data science degree, there exists no consensus on a definition or ...

  8. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).

  9. Data scientist - Wikipedia

    en.wikipedia.org/?title=Data_scientist&redirect=no

    This page was last edited on 22 February 2016, at 06:39 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

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