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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/strategic-business-analytics-capstone
课程评论：没有评论
课程名称：最终项目：利用开放数据创造价值 概述：该课程是一个个人作业，参与者可以选择自己感兴趣的主题，定义要解决的问题。参与者的“游戏场”应涵盖多个领域的数据（如农业与营养、文化、经济与就业、教育与研究、国际与欧洲、住房、可持续发展与能源、健康与社会、社会、领土与交通）。参与者鼓励跨领域混合并利用现有信息与其他合理来源的开放数据集。 交付物 1 是初步准备与问题资格确认。目标是明确“什么、为什么和如何”。我们希望解决什么问题？为什么这对公共机构、企业和公民有价值？我们将如何探索提供的数据？ 交付物 2 要求参与者呈现中间输出和分析框架的调整。目标是确认“如何”以及第一次结果的相关性。 最后，在交付物 3 中，参与者需要展示最终输出和价值案例。目标是确认“为什么”。它将如何为公共机构、企业和公民创造价值？ 评估与评分：参与者需定期向同伴展示结果。将提供评估框架，以便参与者评估彼此交付物的质量。 课程大纲： 1. **介绍与第1步：定义分析框架**：模块1让参与者明确如何成功完成最终项目，并可查阅用于项目的数据集及示例。 2. **必修作业1：定义分析框架**：模块2设置交付物1（分析框架）的评估作业。 3. **必修反馈：交付物1与交付物2的准备**：模块3中参与者需审查至少3个同学的交付物，并准备交付物2。 4. **交付物2的练习**：模块4允许参与者提交交付物2的草案以获得同伴反馈。 5. **必修作业2：呈现中间输出及分析框架的调整**：模块5设置交付物2的评估作业。 6. **必修反馈：交付物2与交付物3的准备**：模块6需要参与者审查至少3个同学的交付物并准备交付物3。 7. **必修交付物3：呈现最终输出和价值案例**：模块7设置交付物3的评估作业。 8. **必修反馈：交付物3的最终输出和价值案例**：模块8参与者要审查至少3个同学的交付物并准备交付物3。
Name:Introduction and step 1 : Define the analysis framework
Description: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.
Name:Required assignement 1: Define the analysis framework
Description:The module 2 sets the assignment of preparing deliverable 1 – your analysis framework – for assessment by your peers.
Name:Required feed back on Delivery 1:Define the analysis framework and preparation of deliverable 2
Description:In Module 3 you will be involved in reviewing the deliverables of a minimum of 3 other students( if you can manage more than 3, then all the better!) as well as preparing deliverable 2
Name:Practice for Deliverable 2
Description:Module 4 enables you to submit your draft proposal for deliverable 2 to your peers for review and feedback.
Name:Required assignement 2: Present the intermediary outputs and adjustments to the analysis framework
Description:The module 5 sets the assignment of preparing deliverable 2 – Present the intermediary outputs and adjustments to the analysis framework – for assessment by your peers.
Name:Required feedback for delivery 2 and preparation of delivery 3
Description:In Module 6 you will be involved in reviewing the deliverables of a minimum of 3 other students( if you can manage more than 3, then all the better!) as well as preparing deliverable 3
Name:Required Delivery 3: Present the final outputs and value case
Description:The module 7 sets the assignment of preparing deliverable 3 – Present the final outputs and value case – for assessment by your peers.
Name:Required feedback on Assignment 3: Present the final outputs and value case
Description:In Module 8 you will be involved in reviewing the deliverables of a minimum of 3 other students ( if you can manage more than 3, then all the better!) as well as preparing deliverable 3
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.
