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다음 전문 분야의 4개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 15시간 필요

권장: 4 weeks of study, 2-3 hours/week...

영어

자막: 영어

귀하가 습득할 기술

Data AnalysisBusiness AnalyticsR ProgrammingPresentation

다음 전문 분야의 4개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 15시간 필요

권장: 4 weeks of study, 2-3 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 1시간 필요

Introduction to Strategic Business Analytics

4개 동영상 (총 11분), 1 reading, 1 quiz
4개의 동영상
Becoming a Business Analytics expert1m
Why? It is all about value not data3m
How to leverage data for value - from data to insight3m
1개의 읽기 자료
Dataset for practice quiz10m
1개 연습문제
Practice Quizz Module 116m
완료하는 데 1시간 필요

Finding groups within Data

9개 동영상 (총 59분), 1 reading, 1 quiz
9개의 동영상
Basic clustering using ad-hoc techniques: the example of product management5m
Identifying groups within data: what's the intuition behind clustering? The example of HR Analytics11m
Introduction to Customer Segmentation7m
Presentation of Pauline Glikman2m
Recital M2 - SKU example12m
Recital M2 - HR example8m
Recital M2 - Telecom example4m
Wrap-up: identifying groups within data2m
1개의 읽기 자료
Script and dataset files to replicate recitals10m
1개 연습문제
Quiz - Module 210m
2
완료하는 데 1시간 필요

Factors leading to events

7개 동영상 (총 62분), 1 reading, 1 quiz
7개의 동영상
Why use Business Analytics to understand the relationship between causes and consequences10m
Understanding what distinguishes two categories9m
Beyond the regression estimates: reporting effects in a visual way9m
Recital M3 - Credit score example9m
Recital M3 - HR example17m
Wrap-up: identifying causes to effects2m
1개의 읽기 자료
Script and dataset files to replicate recitals10m
1개 연습문제
Quiz - module 310m
3
완료하는 데 1시간 필요

Predictions and Forecasting

10개 동영상 (총 67분), 1 reading, 1 quiz
10개의 동영상
Predicting events: sales, defaults, risks, churn, etc.3m
Using classification and regression techniques to forecast6m
Predicting when an event will happen with survival analysis11m
Introduction to time series and seasonality6m
Recital M4 - Credit Score7m
Recital M4 - HR example9m
Recital M4 - Predictive maintenance example9m
Recital M4 - Chocolate Sales example8m
Wrap-up: forecasting events2m
1개의 읽기 자료
Script and dataset files to replicate recitals10m
1개 연습문제
Quiz Module 410m
4
완료하는 데 3시간 필요

Recommendation production and prioritization

6개 동영상 (총 39분), 2 readings, 1 quiz
6개의 동영상
It's all about the story11m
One slide / One idea4m
One picture is worth a thousand words5m
Recital M5 - How to present your findings11m
Wrap-up: reporting your results4m
2개의 읽기 자료
Presentation Tips10m
Datasets for Peer Review Assignment10m
4.4
102개의 리뷰Chevron Right

56%

이 강좌를 통해 확실한 경력상 이점 얻기

Foundations of strategic business analytics의 최상위 리뷰

대학: PTOct 13th 2015

This course is excellent when it provides the citations very fit to theory. And I learned it in well organized structure of knowledge. Thank Prof. Glady and his team very much.

대학: BBSep 28th 2017

Prof. Glady is an excellent lecturer. The course is very well produced, and the recitals were a great introduction to using code to solve business questions.

강사

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

ESSEC 경영 대학원 정보

For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. Its ultimate goal? To create a global world that has meaning for us all. ...

Strategic Business Analytics 전문 분야 정보

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing....
Strategic Business Analytics

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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