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2. 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 ...

3. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

4. AOL - Finance News & Latest Business Headlines - AOL.com

   www.aol.com/careers

   From stock market news to jobs and real estate, it can all be found here. ... Science & Tech. Sports. Weather. ... New Census data finds the typical household earned $80,610 last year, a 4% jump ...

5. List of scientific occupations - Wikipedia

   en.wikipedia.org/wiki/List_of_scientific_occupations

   This is a list of science and science-related occupations, which include various scientific occupations and careers based upon scientific research disciplines and explorers. A medical laboratory scientist at the National Institutes of Health preparing DNA samples

6. Data management - Wikipedia

   en.wikipedia.org/wiki/Data_management

   Among the most significant forms of data is customer information which is a critical asset used to assess customer behavior and trends and use it for developing new strategies for improving customer experience (Ahmed, 2004). However, data has to be of high quality to be used as a business asset for creating a competitive advantage.

7. Data engineering - Wikipedia

   en.wikipedia.org/wiki/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.