Outstanding Prospects for Data Scientists대한민국청소년영어뉴스/KOREAN YOUTH ENGLISH NEWS
기사 메일전송
  • 기사등록 2019-11-12 11:50:17
기사수정

In the aftermath of the Fourth Industrial Revolution, jobs dealing with data and robots are becoming a trend. One of the sites that provide information about jobs, Linkedin, identified that people's most promising job in 2019 is a data scientist. A data scientist is a person who majors in data science and is engaged in data analysis.


Data scientists are responsible for gathering large amounts of data from the field, processing these into forms suitable for analysis, and telling the story effectively what the data mean to others. Data scientists must have three key skills; data processing to collect and process the data needed for analysis scattered everywhere, analytical capabilities to create models and generate results for analysis and industry. Also, as data science is used in a unified sense of a variety of related disciplines, including computer science and statistics, it is difficult for an expert familiar with all these fields to exist. Therefore, in practice, data analysis is usually conducted by forming a team of various experts.

▲ Data Scientist`s Capabilities

In an interview with a current data scientist, Jeon Jna, she said that she works as a data analyst, and it has been working three years since she came to Raynist after working at a large research laboratory. She added that they are developing the data analysis and machine learning services that they need for their services. The reason why she became a data scientist is her interest in data analysis and machine learning. It was interesting for her that the graduate school majored in data mining.


If you want to be a data scientist, you have to earn a bachelor's degree in IT, computer science, math, physics, or another related field. You can earn a related field. You can earn a master's degree in data or related fields, and you can also gain experience in the field you intend to work in such as in healthcare, physics, and business.

▲ Data Scientist

0
기사수정

다른 곳에 퍼가실 때는 아래 고유 링크 주소를 출처로 사용해주세요.

http://www.kyen.kr/news/view.php?idx=2761
Reporter
프로필이미지
Comment
※ 로그인 후 의견을 등록하시면, 자신의 의견을 관리하실 수 있습니다. 0/1000
사이드배너_06 microsoft
 Most Read
게시물이 없습니다.
모바일 버전 바로가기