Capstone: Create Value from Open Data

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课程主页: https://www.coursera.org/archive/strategic-business-analytics-capstone

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课程简介

ESSEC Business School

课程大纲

Module 1 in the Business Analytics capstone project provides you with a clear idea of how to successfully complete the ESSEC Business Analytics MOOC. It is dedicated to ensuring that you understand the objectives of the capstone project and lets you consult the datasets to be used for the project as well as examples of what the expected deliverable should look like and contain. Before beginning the project, you are advised to review two previous modules dealing with how to effectively structure and present your findings, and how to approach and explore datasets ("Foundation of Business Analytics", the wrap up of "Case Studies in Business Analytics with Accenture"). This module also gives you the opportunity to try out the preparation of deliverable 1 and receive non-graded feedback from your peers, thereby giving you an essential insight into how the other deliverables and peer review steps will work.

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课程详情

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, economy and employment, Education & Research, International & Europe, Housing, Sustainable, Development & Energies, Health & Social, Society, Territories & Transport). Participants are encouraged to mix the different fields and leverage the existing information with other (properly sourced) open data sets. Deliverable 1 is the preliminary preparation and problem qualification step. The objectives is to define the what, why & how. What issue do we want to solve? Why does it promise value for public authorities, companies, citizens? How do we want to explore the provided data? For Deliverable 2, the participant needs to present the intermediary outputs and adjustments to the analysis framework. The objectives is to confirm the how and the relevancy of the first results. Finally, with Deliverable 3, the participant needs to present the final outputs and the value case. The objective is to confirm the why. Why will it create value for public authorities, companies, and citizens. Assessment and grading: the participants will present their results to their peers on a regular basis. An evaluation framework will be provided for the participants to assess the quality of each other’s deliverables.

顶峰:从开放数据中创造价值:顶峰项目是一项单独的任务。 参与者决定他们想要探索的主题并定义他们想要解决的问题。他们的“竞争环境”应提供来自各个部门的数据(例如农业与营养,文化,经济和就业,教育与研究,国际和欧洲,住房,可持续性,发展与能源,卫生与社会,社会,地区和运输)。鼓励参与者将不同的字段混合使用,并利用现有信息与其他(适当来源的)开放数据集。 交付品1是初步准备和问题确认步骤。目的是定义原因,原因和原因。怎么样。我们要解决什么问题?为什么它承诺为公共机构,公司,公民带来价值?我们要如何探索提供的数据? 对于交付品2,参与者需要提供中间输出和对分析框架的调整。目的是确定最初结果的方式和相关性。 最后,对于交付品3,参与者需要呈现最终的输出和价值案例。目的是确认原因。为什么它将为公共机构,公司和公民创造价值。 评估和评分:参与者将定期向同伴介绍他们的结果。将为参与者提供一个评估框架,以评估彼此可交付成果的质量。

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