Capstone: Create Value from Open Data

ESSEC Business School via Coursera

Go to Course: https://www.coursera.org/learn/strategic-business-analytics-capstone

Introduction

### Course Review: Capstone: Create Value from Open Data #### Overview The *Capstone: Create Value from Open Data* course, offered on Coursera, is a unique opportunity for participants to engage in an individual project where they can explore themes relevant to their interests. The capstone invites students to define real-world issues and leverage publicly available data across various sectors—such as health, education, and sustainable development—to create actionable insights and valuable outcomes. This course serves not only as a practical application of business analytics but also as a platform for developing critical thinking and problem-solving skills that can be applied in many professional fields. It encourages an interdisciplinary approach, urging participants to pull data from different sectors and create a rich, comprehensive analysis. #### Syllabus Breakdown The syllabus is structured into eight modules, guiding participants through the step-by-step progression of the capstone project. Here's a detailed look at what each module entails: 1. **Introduction and Step 1: Define the Analysis Framework** - This module sets the stage for the capstone project, providing clarity on objectives and expectations. Participants will have access to helpful datasets and examples of successful deliverables. 2. **Required Assignment 1: Define the Analysis Framework** - Here, students prepare their analysis framework for review. This first deliverable requires participants to articulate their intended approach to the project. 3. **Required Feedback on Delivery 1 & Preparation of Deliverable 2** - Critical peer review takes place in this module, emphasizing collaborative learning and improvement based on feedback as participants prepare for and refine their next deliverable. 4. **Practice for Deliverable 2** - Students can submit drafts of their second deliverable for peer assessment, allowing for iterative improvement based on feedback received. 5. **Required Assignment 2: Present the Intermediary Outputs and Adjustments to the Analysis Framework** - Participants formalize their intermediary outputs while making any necessary adjustments to their initial analysis framework, following insights gained from peer feedback. 6. **Required Feedback for Delivery 2 & Preparation of Delivery 3** - Similar to previous modules, this one emphasizes peer review as students prepare for the final deliverable. 7. **Required Delivery 3: Present the Final Outputs and Value Case** - This crucial module revolves around preparing the final presentation of the capstone project, showcasing participants’ analytical findings and proposed solutions to the identified issues. 8. **Required Feedback on Assignment 3: Present the Final Outputs and Value Case** - Final peer reviews are conducted to refine the ultimate deliverable before submission, emphasizing the importance of constructive feedback. #### Recommendations The *Capstone: Create Value from Open Data* course is highly recommended for individuals looking to deepen their understanding of business analytics while working with real-world data. It is particularly suitable for: - **Data Analysts** looking to enhance their skills in data interpretation and visualization. - **MBA Students** eager to implement lessons learned from their coursework into tangible projects. - **Professionals** in industries like public health, economics, or education who want to harness data to drive innovation and policy-making. What distinguishes this capstone course is its emphasis on peer collaboration and iterative learning—participants not only learn from their own experience but also benefit from the diverse perspectives of their peers. The course offers flexibility to explore multiple sectors, making it enriching for anyone interested in cross-disciplinary data applications. In conclusion, if you're passionate about utilizing data to create real value and impact, the *Capstone: Create Value from Open Data* course is a fantastic way to flex your analytical skills while working on a project that could benefit a real-world community. Dive in, explore, and let the insights you discover lead to innovative solutions!

Syllabus

Introduction and step 1 : Define the analysis framework

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.

Required assignement 1: Define the analysis framework

The module 2 sets the assignment of preparing deliverable 1 – your analysis framework – for assessment by your peers.

Required feed back on Delivery 1:Define the analysis framework and preparation of deliverable 2

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

Practice for Deliverable 2

Module 4 enables you to submit your draft proposal for deliverable 2 to your peers for review and feedback.

Required assignement 2: Present the intermediary outputs and adjustments to the analysis framework

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.

Required feedback for delivery 2 and preparation of delivery 3

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

Required Delivery 3: Present the final outputs and value case

The module 7 sets the assignment of preparing deliverable 3 – Present the final outputs and value case – for assessment by your peers.

Required feedback on Assignment 3: Present the final outputs and value case

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