DATA SCIENCE: EXPLORING the JOB ROLES, TOOLS,COMPONENTS, APPLICATIONS and Life Cycle
محل انتشار: دومین کنفرانس ملی محاسبات نرم و علوم شناختی
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 154
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شناسه ملی سند علمی:
SCCS02_011
تاریخ نمایه سازی: 12 آبان 1403
چکیده مقاله:
Data Science is an interdisciplinary field that involves the use of statistical andcomputational techniques to extract insights and knowledge from complex data. It involvesa combination of skills from various fields such as statistics, computer science, and domainspecificknowledge to make sense of large and complex data sets. The field of data sciencehas grown rapidly in recent years due to the availability of big data and the increasingdemand for data-driven decision-making in various industries. The process of data scienceinvolves data collection, data cleaning, data analysis, and the application of machinelearning algorithms to build predictive models. Data science has the potential to transformthe way we make decisions in various fields such as healthcare, finance, marketing, andtransportation by providing new insights and predictions that were not possible withtraditional methods. In this paper, we are giving an introduction to data science, with datascience job roles, tools for data science, components of data science, application, etc.
کلیدواژه ها:
نویسندگان
Kazem Taghandiki
Faculty Member of Department of Computer Engineering, Technical and Vocational University (TVU), Tehran,Iran
Saba Beiranvand
Faculty Member, Department of Computer Engineering, Technical and Vocational University (TVU), Tehran,Iran;