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  2. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

  3. Knowledge, Skills, and Abilities - Wikipedia

    en.wikipedia.org/wiki/Knowledge,_Skills,_and...

    The Knowledge, Skills, and Abilities (KSA) framework, is a series of narrative statements that, along with résumés, determines who the best applicants are when several candidates qualify for a job. The knowledge, skills, and abilities (KSAs) necessary for the successful performance of a position are contained on each job vacancy announcement ...

  4. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    An example of a résumé with a common format with the name John Doe. A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same ...

  5. Bachelor of Science in Information Technology - Wikipedia

    en.wikipedia.org/wiki/Bachelor_of_Science_in...

    In India an engineering degree in Information Technology is 4 year academic program equivalent to Computer Science&Engineering because in the first year basic engineering subjects and Calculus are taught and in the succeeding years core computer science topics are taught in both B.Tech-IT and B.Tech-CSE. [5] [6] [7]

  6. Information engineering - Wikipedia

    en.wikipedia.org/wiki/Information_engineering

    An example of clustering in machine learning. The field of information engineering is based heavily on Engineering and mathematics, particularly probability,statistics, calculus, linear algebra, optimization, differential equations, variational calculus, and complex analysis.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    The field encompasses preparing data for analysis, formulating data science problems, analyzing data, and summarizing these findings. As such, it incorporates skills from computer science, mathematics, data visualization, graphic design, communication, and business. [11] Vasant Dhar writes that statistics emphasizes quantitative data and ...