의사 결정을 위한 비즈니스 분석

Go to Course: https://www.coursera.org/learn/business-analytics-decision-making-ko

Introduction

### Course Review: 의사 결정을 위한 비즈니스 분석 (Business Analytics for Decision Making) #### Overview In today's fast-paced business environment, it is critical for professionals to possess strong analytical skills to make informed decisions. The **Business Analytics for Decision Making** course on Coursera offers an engaging and comprehensive curriculum designed to equip learners with the techniques necessary to create decision-making models that drive effective business outcomes. The course starts with an introduction to **cluster analysis**, a powerful data reduction technique essential for market segmentation. It then progresses to cover the fundamentals of **Monte Carlo simulations**, which are invaluable for modeling uncertainty prevalent in many business decisions. One of the highlights of the course is its focus on **optimization**, a key factor in identifying the best courses of action amidst numerous alternative solutions. What sets this course apart is its accessibility—students do not need to have advanced statistics or programming experience. Basic knowledge of the Analytic Solver Platform and Excel is sufficient, making it ideal for professionals looking to enhance their analytical capabilities without diving into complex mathematical models. In fact, learners will gain free access to the Analytic Solver Platform, enabling hands-on practice with real-world applications. #### Course Syllabus Breakdown 1. **Data Exploration and Reduction - Cluster Analysis** - This module introduces learners to the concept of cluster analysis and its applications in market segmentation. You will learn how to categorize data into meaningful groups, aiding in targeted marketing strategies and customer analysis. 2. **Handling Uncertainty and Risk Analysis** - In this section, the course delves into strategies for addressing uncertainties that frequently arise in business environments. Understanding risk and incorporating it into decision-making processes is crucial for effective management. 3. **Identifying the Best Options - Optimization** - After completing this module, you will be equipped to: - Develop spreadsheet models for optimization problems. - Solve these models using Excel. - Interpret solutions and conduct "What-if" analyses to explore different scenarios and options. 4. **Decision Analysis** - In this final module, learners will: - Apply appropriate techniques to identify the best solution alternatives given specific business circumstances. - Formulate and solve models for business problems requiring yes/no decisions and logical constraints. - Create models that mix techniques and tools like simulations and optimization, analyzing and interpreting results for informed decision-making. #### Recommendation I highly recommend the **Business Analytics for Decision Making** course to professionals seeking to enhance their decision-making skills using data analytics. Whether you are a business analyst, manager, or an entrepreneur, this course will equip you with practical tools and techniques to navigate complex decisions with confidence. The combination of theoretical knowledge and practical application ensures that learners can immediately implement what they’ve learned in their workplaces. The course structure is well-organized, making complex concepts easily digestible. With the added benefit of free access to the Analytic Solver Platform, this course provides an affordable yet valuable opportunity to step up your business analytics skills. ### Conclusion In conclusion, the **Business Analytics for Decision Making** course is an excellent investment in your professional development. It is designed for anyone eager to harness data analytics for better decision-making without the barrier of advanced statistical knowledge. With its hands-on approach and real-world applications, this course will undoubtedly enhance your analytical skills and empower you to make informed business decisions. Enroll today and take the first step towards elevating your analytical prowess!

Syllabus

데이터 탐색 및 축소 - 클러스터 분석

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

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