Об этом курсе
4.4
Оценки: 380
Рецензии: 87
Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business. We’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues. By doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. By the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) We give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design....
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Approx. 14 hours to complete

Предполагаемая нагрузка: 4 weeks of study, 2-3 hours/week...
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Субтитры: English...

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Data AnalysisBusiness AnalyticsR ProgrammingPresentation
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Clock

Approx. 14 hours to complete

Предполагаемая нагрузка: 4 weeks of study, 2-3 hours/week...
Comment Dots

English

Субтитры: English...

Программа курса: что вы изучите

Week
1
Clock
1 ч. на завершение

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 видео (всего 11 мин.), 1 материал для самостоятельного изучения, 1 тест
Video4 видео
Becoming a Business Analytics expert1мин
Why? It is all about value not data3мин
How to leverage data for value - from data to insight3мин
Reading1 материал для самостоятельного изучения
Dataset for practice quiz10мин
Quiz1 практическое упражнение
Practice Quizz Module 116мин
Clock
1 ч. на завершение

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 видео (всего 59 мин.), 1 материал для самостоятельного изучения, 1 тест
Video9 видео
Basic clustering using ad-hoc techniques: the example of product management5мин
Identifying groups within data: what's the intuition behind clustering? The example of HR Analytics11мин
Introduction to Customer Segmentation7мин
Presentation of Pauline Glikman2мин
Recital M2 - SKU example12мин
Recital M2 - HR example8мин
Recital M2 - Telecom example4мин
Wrap-up: identifying groups within data2мин
Reading1 материал для самостоятельного изучения
Script and dataset files to replicate recitals10мин
Quiz1 практическое упражнение
Quiz - Module 210мин
Week
2
Clock
1 ч. на завершение

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 видео (всего 62 мин.), 1 материал для самостоятельного изучения, 1 тест
Video7 видео
Why use Business Analytics to understand the relationship between causes and consequences10мин
Understanding what distinguishes two categories9мин
Beyond the regression estimates: reporting effects in a visual way9мин
Recital M3 - Credit score example9мин
Recital M3 - HR example17мин
Wrap-up: identifying causes to effects2мин
Reading1 материал для самостоятельного изучения
Script and dataset files to replicate recitals10мин
Quiz1 практическое упражнение
Quiz - module 310мин
Week
3
Clock
1 ч. на завершение

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 видео (всего 67 мин.), 1 материал для самостоятельного изучения, 1 тест
Video10 видео
Predicting events: sales, defaults, risks, churn, etc.3мин
Using classification and regression techniques to forecast6мин
Predicting when an event will happen with survival analysis11мин
Introduction to time series and seasonality6мин
Recital M4 - Credit Score7мин
Recital M4 - HR example9мин
Recital M4 - Predictive maintenance example9мин
Recital M4 - Chocolate Sales example8мин
Wrap-up: forecasting events2мин
Reading1 материал для самостоятельного изучения
Script and dataset files to replicate recitals10мин
Quiz1 практическое упражнение
Quiz Module 410мин
Week
4
Clock
3 ч. на завершение

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 видео (всего 39 мин.), 2 материалов для самостоятельного изучения, 1 тест
Video6 видео
It's all about the story11мин
One slide / One idea4мин
One picture is worth a thousand words5мин
Recital M5 - How to present your findings11мин
Wrap-up: reporting your results4мин
Reading2 материала для самостоятельного изучения
Presentation Tips10мин
Datasets for Peer Review Assignment10мин
4.4
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: 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.

автор: 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.

Преподаватель

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

О 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. ...

О специализации ''Strategic Business Analytics'

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

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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