File:PIA23792-1600x1200(1).jpg · Wikimedia Commons · See Wikimedia Commons
数据科学
Sign in to savefield of study to extract insights from data
Data science is a field of study focused on extracting useful insights and knowledge from data. It matters because these insights can help organizations and individuals make better decisions based on evidence rather than guesswork.
AI-generated from the Wikipedia summary — may contain errors.
Research
1,124,733 papers- The role of data science in healthcare advancements: applications, benefits, and future prospects.ReviewIrish journal of medical science · 2022Subrahmanya SVG, Shetty DK, Patil V et al.DOI: 10.1007/s11845-021-02730-z
- Microbiome data science.ReviewJournal of biosciences · 2019Shetty SA, Lahti L
- Data science in cell imaging.ReviewJournal of cell science · 2021Driscoll MK, Zaritsky ADOI: 10.1242/jcs.254292
- Data science approaches to infectious disease surveillance.ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Zhang QDOI: 10.1098/rsta.2021.0115
- Data Science for Child Health.ReviewThe Journal of pediatrics · 2019Bennett TD, Callahan TJ, Feinstein JA et al.DOI: 10.1016/j.jpeds.2018.12.041
- Data science in modern evidence-based medicine.ReviewJournal of the Royal Society of Medicine · 2019Radenkovic D, Keogh SB, Maruthappu MDOI: 10.1177/0141076819871055
- Harnessing data science to advance radiation oncology.ReviewMolecular oncology · 2020Vogelius IR, Petersen J, Bentzen SMDOI: 10.1002/1878-0261.12685
- Data Science and Graduate Nursing Education: A Critical Literature Review.ReviewClinical nurse specialist CNS · 2020Foster M, Tasnim ZDOI: 10.1097/NUR.0000000000000516
via PubMed
Wikidata facts
- Instance of
- academic discipline
- Subclass of
- science
- Image
- Data science disciplines Venn diagram fr.svg
Show 6 more facts
- is the study of
- data
- Commons category
- Data science
- topic's main category
- Category:Data science
- Stack Exchange site URL
- datascience.stackexchange.com
- P8168
- calcium sorbate
- facet of
- applied science
Sources (7)
via Wikidata · CC0
Article · 中文
数据科学（英語：data science）又称资料科学，是一门利用数据（资料）学习知识的學科，其目标是通过从数据中提取出有价值的部分来生产数据产品，学科范围涵盖了：数据取得、数据处理、数据分析等过程，举凡与數據有关的科学均属数据科学。 数据科学结合了诸多领域中的理论和技术，包括应用数学、统计、模式识别、机器学习、数据可视化、数据仓库以及高性能计算。数据科学通过运用各种相关的数据来帮助非专业人士理解问题。数据科学技术可以帮助我们如何正确的处理数据并协助我们在生物学、社会科学、人类学等领域进行研究调研。此外，数据科学也对商业竞争有极大的帮助。 美国国家标准技术研究所于2015年发表七卷大數據参考框架（NIST Big Data Reference Architecture，NBDRA），于第一卷定义篇中将數據科學定为在、和计算科学之后的第四。
Abstract from DBpedia / Wikipedia · CC BY-SA