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Capstone: Create Value from Open Data

Approx. 11 hours to complete

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Course Summary

In this capstone project, you will apply your skills in strategic business analytics and data visualization to solve a real-world business problem. You will create a complete analytics solution, including data preparation, data analysis, and data visualization.

Key Learning Points

Learn how to apply strategic business analytics to solve real-world problems
Gain hands-on experience in data preparation, analysis, and visualization
Collaborate with other learners to create a complete analytics solution

Job Positions & Salaries of people who have taken this course might have

Data Analyst
- USA: $64,000
- India: ₹6,00,000
- Spain: €30,000
Business Analyst
- USA: $70,000
- India: ₹7,00,000
- Spain: €35,000
Data Scientist
- USA: $120,000
- India: ₹12,00,000
- Spain: €50,000

Learning Outcomes

Create a complete analytics solution to solve a real-world business problem
Apply strategic business analytics to data preparation, analysis, and visualization
Collaborate with other learners to achieve a common goal

Prerequisites or good to have knowledge before taking this course

Basic knowledge of statistics and data analysis
Familiarity with data visualization tools

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced
Collaborative

Similar Courses

Business Analytics Capstone
Data Analytics Capstone

Related Education Paths

Notable People in This Field

Statistician
Data Scientist

Related Books

Description

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.

Outline

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
Guidelines for watching the following video
Guidelines for watching the following video
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Guidelines for watching the following video
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Optional ungraded peer review information

Required assignement 1: Define the analysis framework
Assignment:Define the analysis framework.

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

Required feedback for delivery 2 and preparation of delivery 3
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

Required feedback on Assignment 3: Present the final outputs and value case
This week is dedicated to the required feedback on deliverable 3>>

Summary of User Reviews

Read reviews for the Strategic Business Analytics Capstone course on Coursera. Users have praised the course for its practical approach to data analysis and problem-solving. Overall, the course has received positive reviews.

Key Aspect Users Liked About This Course

Many users appreciated the practical approach of the course, which allowed them to apply their learning to real-world business scenarios.

Pros from User Reviews

Practical approach to data analysis and problem-solving
Real-world business scenarios
Engaging lectures and exercises
Great instructor support
Helpful feedback on assignments

Cons from User Reviews

Some users found the course material too challenging
The course can be time-consuming, especially for those with limited experience in data analysis
Limited interaction with other students
Some users felt that the course lacked in-depth coverage of certain topics
The course may not be suitable for those looking for a theoretical approach to data analysis

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