ESSEC Business School - France - Capstone: Create Value from Open Data
- Offered byCoursera
Capstone: Create Value from Open Data at Coursera Overview
Duration | 11 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Capstone: Create Value from Open Data at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Capstone: Create Value from Open Data at Coursera Course details
- 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.
Capstone: Create Value from Open Data at Coursera Curriculum
Introduction and step 1 : Define the analysis framework
Reporting your results: introduction
It's all about the story
One slide, One idea
A picture is worth a thousand words
Recital M5 - How to present your findings
Wrap-up: Reporting your results
How to create value from data? - Fabrice Marque
Wrap up - Mickael Svilar
Data exploration is an iterative process - Nicolas Glady
Analytics exploration - Oonagh O?Shea & Noelle Doody
Wrap up & Capstone guidelines - Nicolas Glady
Objective of the capstone
Datasets used for the capstones
Example deliverable 1
Example: Final deliverable
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Optional ungraded peer review information
Required assignement 1: Define the analysis framework
Assignment:Define the analysis framework.
This week is dedicated to the required feed back on deliverable 1>>
Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework
Practice for Deliverable 2
Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework
Required assignement 2: Present the intermediary outputs and adjustments to the analysis framework
This week is dedicated to the required feedback on delivery 2
Prepare deliverable 3: Present the final outputs and value case
Required Delivery 3: Present the final outputs and value case
This week is dedicated to the required feedback on deliverable 3>>
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