课程信息
4.4
393 个评分
88 个审阅
专项课程

第 1 门课程(共 4 门)

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立即开始,按照自己的计划学习。
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完成时间(小时)

完成时间大约为15 小时

建议:4 weeks of study, 2-3 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Data AnalysisBusiness AnalyticsR ProgrammingPresentation
专项课程

第 1 门课程(共 4 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为15 小时

建议:4 weeks of study, 2-3 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 1 小时

Introduction to Strategic Business Analytics

In this module, we will introduce you to the course and instructional approach. You will learn that Strategic Business Analytics relies on four distinct skills: IT, Analytics, Business and Communication....
Reading
4 个视频 (总计 11 分钟), 1 个阅读材料, 1 个测验
Video4 个视频
Becoming a Business Analytics expert1分钟
Why? It is all about value not data3分钟
How to leverage data for value - from data to insight3分钟
Reading1 个阅读材料
Dataset for practice quiz10分钟
Quiz1 个练习
Practice Quizz Module 116分钟
完成时间(小时)
完成时间为 1 小时

Finding groups within Data

In this module, you will learn how identifying groups of observations enables you to improve business efficiency. You will then learn to create those groups in a business-oriented and actionable way. We will use examples to illustrate various concepts. The assessments will also provide you with opportunities to replicate these examples....
Reading
9 个视频 (总计 59 分钟), 1 个阅读材料, 1 个测验
Video9 个视频
Basic clustering using ad-hoc techniques: the example of product management5分钟
Identifying groups within data: what's the intuition behind clustering? The example of HR Analytics11分钟
Introduction to Customer Segmentation7分钟
Presentation of Pauline Glikman2分钟
Recital M2 - SKU example12分钟
Recital M2 - HR example8分钟
Recital M2 - Telecom example4分钟
Wrap-up: identifying groups within data2分钟
Reading1 个阅读材料
Script and dataset files to replicate recitals10分钟
Quiz1 个练习
Quiz - Module 210分钟
2
完成时间(小时)
完成时间为 1 小时

Factors leading to events

In this module, you will learn why using rigorous statistical methods to understand the relationship between different events is crucial. We’ll cover two examples: first, using a credit scoring example, you will learn how to derive information about what makes an individual more or less likely to have a strong credit score? Then, in a second example drawn from HR Analytics, you will learn to estimate what makes an employee more or less likely to leave the company. As usual, we invite you to replicate those examples thanks to the recital and to use the assessments provided at the end of the module to strengthen your understanding of these concepts....
Reading
7 个视频 (总计 62 分钟), 1 个阅读材料, 1 个测验
Video7 个视频
Why use Business Analytics to understand the relationship between causes and consequences10分钟
Understanding what distinguishes two categories9分钟
Beyond the regression estimates: reporting effects in a visual way9分钟
Recital M3 - Credit score example9分钟
Recital M3 - HR example17分钟
Wrap-up: identifying causes to effects2分钟
Reading1 个阅读材料
Script and dataset files to replicate recitals10分钟
Quiz1 个练习
Quiz - module 310分钟
3
完成时间(小时)
完成时间为 1 小时

Predictions and Forecasting

In this module you will learn more about the importance of forecasting the future. You will learn through examples from various sectors: first, using the previous examples of credit scoring and HR Analytics, you will learn to predict what will happen. Then, you will be introduced to predictive maintenance using survival analysis via a case discussion. Finally, we’ll discuss seasonality in the context of the first example discussed in this MOOC: using analytics for managing your supply chain and logistics better. ...
Reading
10 个视频 (总计 67 分钟), 1 个阅读材料, 1 个测验
Video10 个视频
Predicting events: sales, defaults, risks, churn, etc.3分钟
Using classification and regression techniques to forecast6分钟
Predicting when an event will happen with survival analysis11分钟
Introduction to time series and seasonality6分钟
Recital M4 - Credit Score7分钟
Recital M4 - HR example9分钟
Recital M4 - Predictive maintenance example9分钟
Recital M4 - Chocolate Sales example8分钟
Wrap-up: forecasting events2分钟
Reading1 个阅读材料
Script and dataset files to replicate recitals10分钟
Quiz1 个练习
Quiz Module 410分钟
4
完成时间(小时)
完成时间为 3 小时

Recommendation production and prioritization

So far, you’ve learnt to use Business Analytics to glean important information relevant to the success of your business. In this module, you’ll learn more about how to present your Business Analytics work to a business audience. This module is also important for your final capstone project presentation.You’ll learn that it is important to find an angle, and tell a story.Instead of presenting a list of results that are not connected to each other, you will learn to take your audience by the hand and steer it to the recommendations you want to conclude on.You’ll learn to structure your story and your slides, and master the most used visualization tips and tricks. The assessment at the end of this module will provide an opportunity for you to practice these methods and to prepare the first step of the capstone project....
Reading
6 个视频 (总计 39 分钟), 2 个阅读材料, 1 个测验
Video6 个视频
It's all about the story11分钟
One slide / One idea4分钟
One picture is worth a thousand words5分钟
Recital M5 - How to present your findings11分钟
Wrap-up: reporting your results4分钟
Reading2 个阅读材料
Presentation Tips10分钟
Datasets for Peer Review Assignment10分钟
4.4
88 个审阅Chevron Right
工作福利

33%

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热门审阅

创建者 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.

创建者 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.

讲师

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

关于 ESSEC Business School

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. ...

关于 Strategic Business Analytics 专项课程

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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