Strategic Business Analytics 专项课程

开始日期 Jul 16

Strategic Business Analytics 专项课程

Unveil Critical Insights。Start making efficient, profitable, data-driven business decisions.

本专项课程介绍

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.

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行业合作伙伴:

courses
4 courses

按照建议的顺序或选择您自己的顺序。

projects
项目

旨在帮助您实践和应用所学到的技能。

certificates
证书

在您的简历和领英中展示您的新技能。

课程
Advanced Specialization.
Designed for those already in the industry.
  1. 第 1 门课程

    企业战略分析基础

    当前班次:Jul 16
    课程学习时间
    4 weeks of study, 2-3 hours/week
    字幕
    English

    课程概述

    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, anal
  2. 第 2 门课程

    Foundations of marketing analytics

    字幕
    English

    课程概述

    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, anal
  3. 第 3 门课程

    商业案例分析:ACCENTURE

    字幕
    English

    课程概述

    Who is this course for ? This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Ins
  4. 第 4 门课程

    Capstone: Create Value from Open Data

    计划开课班次:Jul 23
    字幕
    English

    毕业项目介绍

    The Capstone project is an individual assignment. Participants decide the theme they want to explore and define the issue they want to solve. Their “playing field” should provide data from various sectors (such as farming and nutrition, culture, econom

制作方

  • ESSEC Business School

    The ESSEC Center for Digital Business' mission is to envision digital future, steer digital innovation and train leaders for tomorrow's digital economy.

    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.

  • Arnaud De Bruyn

    Arnaud De Bruyn

    Professor at ESSEC Business School
  • Nicolas Glady

    Nicolas Glady

    Associate professor, at ESSEC Business School

FAQs