Capstone: Create Value from Open Data

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Capstone: Create Value from Open Data

Coursera (CC)
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Opleiderscore: starstarstarstar_halfstar_border 7,2 Coursera (CC) heeft een gemiddelde beoordeling van 7,2 (uit 6 ervaringen)

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Beschrijving

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About this course: 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 & h…

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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: 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.

Created by:  ESSEC Business School
  • Taught by:  Nicolas Glady , Associate professor, at ESSEC Business School

    Marketing Department
Basic Info Course 4 of 4 in the Strategic Business Analytics Specialization Language English How To Pass Pass all graded assignments to complete the course. User Ratings 3.6 stars Average User Rating 3.6See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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ESSEC Business School 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.

Syllabus


WEEK 1


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.


11 videos, 16 readings expand


  1. Reading: Objective of the capstone
  2. Reading: Datasets used for the capstones
  3. Reading: Example deliverable 1
  4. Reading: Example: Final deliverable
  5. Reading: Guidelines for watching the following video
  6. Video: Reporting your results: introduction
  7. Reading: Guidelines for watching the following video
  8. Video: It's all about the story
  9. Discussion Prompt: Think of an excellent presentation you have seen...
  10. Reading: Guidelines for watching the following video
  11. Video: One slide, One idea
  12. Reading: Guidelines for watching the following video
  13. Video: A picture is worth a thousand words
  14. Discussion Prompt: Should presentations be considered shows?
  15. Reading: Guidelines for watching the following video
  16. Video: Recital M5 - How to present your findings
  17. Discussion Prompt: Among the techniques used to effectively present your findings, which are most useful?
  18. Reading: Guidelines for watching the following video
  19. Video: Wrap-up: Reporting your results
  20. Discussion Prompt: How should I define what’s relevant to a business for organization?
  21. Reading: Guidelines for watching the following video
  22. Video: How to create value from data? - Fabrice Marque
  23. Reading: Guidelines for watching the following video
  24. Video: Wrap up - Mickael Svilar
  25. Reading: Guidelines for watching the following video
  26. Video: Data exploration is an iterative process - Nicolas Glady
  27. Discussion Prompt: How can you effectively manage this part of the exploration process?
  28. Reading: Guidelines for watching the following video
  29. Video: Analytics exploration - Oonagh O’Shea & Noelle Doody
  30. Reading: Guidelines for watching the following video
  31. Video: Wrap up & Capstone guidelines - Nicolas Glady
  32. Discussion Prompt: Visual
  33. Reading: Optional ungraded peer review information
  34. Peer Review: Optional Deliverable 1: Define the analysis framework. Share your working draft


WEEK 2


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.


1 reading expand


  1. Reading: Assignment:Define the analysis framework.

Graded: Required deliverable 1:Define the analysis framework

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


2 readings expand


  1. Reading: This week is dedicated to the required feed back on deliverable 1>>
  2. Reading: Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework


WEEK 3


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


1 reading expand


  1. Reading: Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework
  2. Peer Review: Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework


WEEK 4


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.




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

    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


    2 readings expand


    1. Reading: This week is dedicated to the required feedback on delivery 2
    2. Reading: Prepare deliverable 3: Present the final outputs and value case


    WEEK 5


    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.




      Graded: Present the final outputs and value case

      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


      1 reading expand


      1. Reading: This week is dedicated to the required feedback on deliverable 3>>

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