John Hopkins University - Applied Analytics and Data for Decision Making
- Offered byCoursera
Applied Analytics and Data for Decision Making at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Applied Analytics and Data for Decision Making at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Applied Analytics and Data for Decision Making at Coursera Course details
- By the end of this course, learners are prepared to identify and test the best solutions for improving performance and integrating concepts from operational excellence methodologies for optimum data-driven decision making. The course begins with a focus on deciphering the root cause of problems through a variety of tools before determining and assessing best-fit solutions. Learners discover how to apply ISO, Lean and Six Sigma in the pursuit of aligning organizational operations data with performance standards. Hospitality, manufacturing and e-commerce case studies help illustrate how to build data literacy while ensuring privacy and data ethics measures are in place.
- Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company¢??s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the third course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.
Applied Analytics and Data for Decision Making at Coursera Curriculum
Applying Analytics to Implement Solutions
Introduction to Applied Analytics and Data for Decision Making
Identifying Root Causes
Best Fit Solutions
Testing Solutions
Welcome Message and Course Overview
Acknowledgements
Identifying Root Causes Resources (Optional)
Best Fit Solutions Resources (Optional)
Testing Solutions Resources (Optional)
Applying Analytics to Implement Solutions Assessment
Data-Driven Operational Excellence
ISO
Lean
Six Sigma
Operational Excellence
Dan Gerena Discusses Melding Business and Data Strategies
ISO Resources (Optional)
Lean Resources (Optional)
Six Sigma Resources (Optional)
Operational Excellence Resources (Optional)
Data-Driven Operational Excellence
Applying Data-Driven Decisions
A Data Literacy Culture
Dan Gerena Discusses Implementation Challenges
Data Ethics and Privacy
Hospitality Case Study
Manufacturing Case Study
E-Commerce Case Study
A Data Literacy Culture Resources (Optional)
Data Ethics and Privacy Resources (Optional)
Resources for Data-Driven Decision Making in Hospitality (Optional)
Resources for Data-Driven Decision Making in Manufacturing (Optional)
Resources for Data-Driven Decision Making in Ecommerce (Optional)
Applying Data-Driven Decisions to Real-World Challenges
Project: Applied Analytics and Data for Decision Making
Project: Applied Analytics and Data for Decision Making
Project: Applied Analytics and Data for Decision Making (REQUIRED)
Applied Analytics and Data for Decision Making at Coursera Admission Process
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