데이터 과학

학위 취득

트렌드 데이터 과학 강좌

Join the next admissions webinar on May 6 and learn more about earning your MCS-DS online.

Hear from current students. Reserve your spot at the 4/2 Penn Engineering admissions webinar.

가장 인기 있는 데이터 과학 강좌

데이터 과학에서 가장 인기 있는 수료증

최고의 기계 학습 및 AI

최상급 데이터 과학 강좌

데이터 과학을 위한 기초 수학 기술 및 통계 마스터

데이터 과학자 되기

비실무자를 위한 데이터 과학

    데이터 과학에 대한 자주 묻는 질문

  • Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle.

    That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers.

    Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team.