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
Related Topics for further study
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
IntermediateCourse 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.
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
- 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
- Guidelines for watching the following video
- Guidelines for watching the following video
- Guidelines for watching the following video
- 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
Nicolas Glady
4 Raiting
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