이 과정에서는 의사 결정을 위한 모델을 만드는 방법을 알아봅니다. 시장 세분화에 매우 유용한 데이터 축소 기법인 클러스터 분석부터 시작하겠습니다. 그런 다음 많은 비즈니스 결정에 만연한 불확실성을 모델링하는 데 유용한 몬테카를로 시뮬레이션의 기본 사항을 배우게 됩니다. 의사 결정의 핵심 요소는 최선의 조치를 식별하는 것입니다. 비즈니스 문제에는 대안적 해결책이 너무 많은 경우가 있으므로 최적화가 최상의 옵션을 식별하는 데 어떻게 도움이 되는지 배우게 됩니다. 이 과정에서 정말 흥미로운 점은 이러한 예측 및 규범적 분석 모델에 대해 배우기 위해 컴퓨터 언어나 고급 통계를 알아야 할 필요가 없다는 것입니다. Analytic Solver Platform과 Excel에 대한 기본 지식만 있으면 됩니다. 과제에 참여하는 학습자는 Analytic Solver Platform에 무료로 액세스할 수 있습니다.
의사 결정을 위한 비즈니스 분석
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4.8
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Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
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Assessments
8 assignments
Taught in Korean
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There are 4 modules in this course
What's included
7 videos1 reading2 assignments1 discussion prompt
What's included
7 videos2 assignments1 discussion prompt
이 모듈이 끝나면 학생들은 다음을 수행할 수 있어야 합니다. 1. 최적화 문제에 대한 스프레드시트 모델 개발 2. Excel을 사용하여 최적화 모델 해결 3. 솔루션 해석 및 What-if 분석 수행
What's included
7 videos2 assignments1 discussion prompt
이 모듈이 끝나면 학생들은 다음을 수행할 수 있어야 합니다. 1. 주어진 비즈니스 상황에서 적절한 기술을 적용하여 최상의 솔루션 대안 식별 2. 예/아니오 결정과 논리적 제약이 필요한 비즈니스 문제에 대한 모델을 수식화 및 해결 3. 시뮬레이션 및 최적화와 같은 기술과 도구를 혼합한 모델을 생성 결과를 분석하고 해석하여 정보에 입각한 결정 내리기
What's included
6 videos2 assignments1 discussion prompt
Instructor
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University of California San Diego
Vanderbilt University
University of Washington
Lund University
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