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  2. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary field [ 10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

  4. Chief data officer - Wikipedia

    en.wikipedia.org/wiki/Chief_data_officer

    Chief data officer. A Chief Data Officer ( CDO) is a corporate officer responsible for enterprise-wide governance and utilization of information as an asset, via data processing, analysis, data mining, information trading and other means. CDOs usually report to the chief executive officer (CEO), although depending on the area of expertise this ...

  5. 3 key things to keep in mind if you're considering a job in ...

    www.aol.com/gen-z-data-scientist-says-081101054.html

    Ana Altchek. August 14, 2024 at 12:58 PM. Pranjali Ajay Parse said AI jobs require robust skills and the ability to collaborate with many teams. Pranjali Ajay Parse. Data scientist Pranjali Ajay ...

  6. Master in Data Science - Wikipedia

    en.wikipedia.org/wiki/Master_in_Data_Science

    Master in Data Science. A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, [1] [2] similar to data mining .

  7. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Data engineering. Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science; which often involves machine learning. [ 1][ 2] Making the data usable usually involves substantial compute and storage, as well as data processing .

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