このコースについて
14,688 最近の表示

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約15時間で修了

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

英語

字幕:英語

習得するスキル

Data AnalysisBusiness AnalyticsR ProgrammingPresentation

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約15時間で修了

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

英語

字幕:英語

このCourseを受講している学習者は

  • Process Analysts
  • Business Analysts
  • Marketing Analysts
  • Risk Managers
  • Data Analysts

シラバス - 本コースの学習内容

1
1時間で修了

Introduction to Strategic Business Analytics

4件のビデオ (合計11分), 1 reading, 1 quiz
4件のビデオ
Becoming a Business Analytics expert1 分
Why? It is all about value not data3 分
How to leverage data for value - from data to insight3 分
1件の学習用教材
Dataset for practice quiz10 分
1の練習問題
Practice Quizz Module 116 分
1時間で修了

Finding groups within Data

9件のビデオ (合計59分), 1 reading, 1 quiz
9件のビデオ
Basic clustering using ad-hoc techniques: the example of product management5 分
Identifying groups within data: what's the intuition behind clustering? The example of HR Analytics11 分
Introduction to Customer Segmentation7 分
Presentation of Pauline Glikman2 分
Recital M2 - SKU example12 分
Recital M2 - HR example8 分
Recital M2 - Telecom example4 分
Wrap-up: identifying groups within data2 分
1件の学習用教材
Script and dataset files to replicate recitals10 分
1の練習問題
Quiz - Module 210 分
2
1時間で修了

Factors leading to events

7件のビデオ (合計62分), 1 reading, 1 quiz
7件のビデオ
Why use Business Analytics to understand the relationship between causes and consequences10 分
Understanding what distinguishes two categories9 分
Beyond the regression estimates: reporting effects in a visual way9 分
Recital M3 - Credit score example9 分
Recital M3 - HR example17 分
Wrap-up: identifying causes to effects2 分
1件の学習用教材
Script and dataset files to replicate recitals10 分
1の練習問題
Quiz - module 310 分
3
1時間で修了

Predictions and Forecasting

10件のビデオ (合計67分), 1 reading, 1 quiz
10件のビデオ
Predicting events: sales, defaults, risks, churn, etc.3 分
Using classification and regression techniques to forecast6 分
Predicting when an event will happen with survival analysis11 分
Introduction to time series and seasonality6 分
Recital M4 - Credit Score7 分
Recital M4 - HR example9 分
Recital M4 - Predictive maintenance example9 分
Recital M4 - Chocolate Sales example8 分
Wrap-up: forecasting events2 分
1件の学習用教材
Script and dataset files to replicate recitals10 分
1の練習問題
Quiz Module 410 分
4
3時間で修了

Recommendation production and prioritization

6件のビデオ (合計39分), 2 readings, 1 quiz
6件のビデオ
It's all about the story11 分
One slide / One idea4 分
One picture is worth a thousand words5 分
Recital M5 - How to present your findings11 分
Wrap-up: reporting your results4 分
2件の学習用教材
Presentation Tips10 分
Datasets for Peer Review Assignment10 分
4.4
101件のレビューChevron Right

56%

コースが具体的なキャリアアップにつながった

Foundations of strategic business analytics からの人気レビュー

by 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.

by 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.

講師

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

エセック・ビジネススクール(ESSEC Business School)について

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専門講座について

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

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