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Capstone

Strategic Business Analytics,

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.

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Rating 3.4 based on 9 ratings
Length 6 weeks
Starts Apr 26 (next week)
Cost $99
From ESSEC Business School via Coursera
Instructor Nicolas Glady
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Strategy

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What people are saying

course provided valuable insights

The Course provided valuable insights in Strategy, Marketing.

accenture cases were helpful

Accenture cases were helpful.

best business analytics mooc

I my opinion it's the best business analytics MOOC.

invest less than 8-12

Even if all tasks were supposed to be done in around 2 hours, it is definitely not possible to satisfy your classmates' expectations if you only invest 2 hours... it will be even difficult to satisfy them if you invest less than 8-12 hours per assignment.

its vast capacity

Introduced me to R and its vast capacity to analyse data.

explore more ways

Further, working with more than one dataset should be encouraged, which would invite to explore more ways of data analysis and visualization.

many participants had

I think the contents of this specialization were interesting, but it was very difficult to reach a compromise between the time that was supposed to be dedicated to the peer-review assignments and the expectations that many participants had on the deliveries.

worse course ever

The worse course ever This was hard, but I was happy and the end and have a good grade.

already very close

If the expected revenue is not in the range of billions you are already very close to failing the project.

by far

By far.

all tasks

almost impossible

The first assignment is just a first review of the final project, but it is almost impossible to pass, because the questions are not organized in a manner of constructive feedback.

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Public Health Program Asc $54k

Public & Government Affairs $63k

Public Health Specialist 3 $69k

Education & Public Programs Coordinator Manager $78k

Public Affairs/Fine Arts Specialist $78k

Public Affairs/Technology Coordinator $83k

Lieutenant/Public Information Officer $87k

Commissioner, Board of Public Works $105k

Senior Project Manager (Milwaukee Public School) $137k

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Rating 3.4 based on 9 ratings
Length 6 weeks
Starts Apr 26 (next week)
Cost $99
From ESSEC Business School via Coursera
Instructor Nicolas Glady
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Strategy

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