Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- Duration 11 hours
- Course by ESSEC Business School
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Offered by
About
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.Modules
The capstone project
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4
Readings
4
Readings
- Objective of the capstone
- Datasets used for the capstones
- Example deliverable 1
- Example: Final deliverable
Last module of "Foundations of Strategic Business analytics"
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6
Videos
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6
Readings
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4
Discussion
4
Discussions
- Think of an excellent presentation you have seen...
- Should presentations be considered shows?
- Among the techniques used to effectively present your findings, which are most useful?
- How should I define what’s relevant to a business for organization?
6
Videos
- 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
6
Readings
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
Wrap up of "Case studies in Business Analytics with Accenture"
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5
Videos
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5
Readings
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2
Discussion
2
Discussions
- How can you effectively manage this part of the exploration process?
- Visual
5
Videos
- 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
5
Readings
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
Optional Assignment to prepare delivable 1: Define the analysis framework
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1
Readings
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1
PeerReview
1
Peer Review
- Optional Deliverable 1: Define the analysis framework. Share your working draft
1
Readings
- Optional ungraded peer review information
Deliverable 1: Define the analysis framework
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1
Readings
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1
PeerReview
1
Peer Review
- Required deliverable 1:Define the analysis framework
1
Readings
- Assignment:Define the analysis framework.
Required feed back on Assignment 1
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1
Readings
1
Readings
- This week is dedicated to the required feed back on deliverable 1>>
Preparation of deliverable 2
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1
Readings
1
Readings
- Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework
Optional assignement 2
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1
Readings
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1
PeerReview
1
Peer Review
- Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework
1
Readings
- Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework
Required assignement 2
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1
PeerReview
1
Peer Review
- Required deliverable 2: Present the intermediary outputs and adjustments to the analysis framework
Required feedback on delivery 2
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1
Readings
1
Readings
- This week is dedicated to the required feedback on delivery 2
Preparation of delivery 3
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1
Readings
1
Readings
- Prepare deliverable 3: Present the final outputs and value case
Required delivery 3: Present the final outputs and value case
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1
PeerReview
1
Peer Review
- Present the final outputs and value case
Required feedback on delivery 3
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1
Readings
1
Readings
- This week is dedicated to the required feedback on deliverable 3>>
Auto Summary
This Coursera Capstone project, led by expert instructors, empowers learners to harness open data to create valuable insights across diverse sectors like economy, health, and transport. Participants will define and solve real-world issues, presenting their findings in three stages. Ideal for foundation-level learners, the course spans 660 minutes and offers both Starter and Professional subscription options. Perfect for those looking to make a tangible impact using data.
Nicolas Glady