- Level Foundation
- المدة 11 ساعات hours
- الطبع بواسطة University at Buffalo
-
Offered by
عن
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.الوحدات
Introduction and Acknowledgements
1
Videos
- Introduction to Applied Analytics and Data for Decision Making
2
Readings
- Welcome Message and Course Overview
- Acknowledgements
Identifying Root Causes
1
Videos
- Identifying Root Causes
1
Readings
- Identifying Root Causes Resources (Optional)
Best Fit Solutions
1
Videos
- Best Fit Solutions
1
Readings
- Best Fit Solutions Resources (Optional)
Testing Solutions
1
Videos
- Testing Solutions
1
Readings
- Testing Solutions Resources (Optional)
Applying Analytics to Implement Solutions Assessment
1
Assignment
- Applying Analytics to Implement Solutions Assessment
ISO
1
Videos
- ISO
1
Readings
- ISO Resources (Optional)
Lean
1
Videos
- Lean
1
Readings
- Lean Resources (Optional)
Six Sigma
1
Videos
- Six Sigma
1
Readings
- Six Sigma Resources (Optional)
Operational Excellence
2
Videos
- Operational Excellence
- Dan Gerena Discusses Melding Business and Data Strategies
1
Readings
- Operational Excellence Resources (Optional)
Data-Driven Operational Excellence Assessment
1
Assignment
- Data-Driven Operational Excellence
A Data Literacy Culture
2
Videos
- A Data Literacy Culture
- Dan Gerena Discusses Implementation Challenges
1
Readings
- A Data Literacy Culture Resources (Optional)
Data Ethics and Privacy
1
Videos
- Data Ethics and Privacy
1
Readings
- Data Ethics and Privacy Resources (Optional)
Case Study: Hospitality
1
Videos
- Hospitality Case Study
1
Readings
- Resources for Data-Driven Decision Making in Hospitality (Optional)
Case Study: Manufacturing
1
Videos
- Manufacturing Case Study
1
Readings
- Resources for Data-Driven Decision Making in Manufacturing (Optional)
Case Study: E-Commerce
1
Videos
- E-Commerce Case Study
1
Readings
- Resources for Data-Driven Decision Making in Ecommerce (Optional)
Applying Data-Driven Decisions to Real-World Challenges Assessment
1
Assignment
- Applying Data-Driven Decisions to Real-World Challenges
Project: Applied Analytics and Data for Decision Making
1
Peer Review
- Applied Analytics and Data for Decision Making
1
Discussions
- Opportunity for Reflection
1
Videos
- Project: Applied Analytics and Data for Decision Making
1
Readings
- Project: Applied Analytics and Data for Decision Making (REQUIRED)
Auto Summary
"Applied Analytics and Data for Decision Making" is a foundational course offered by Coursera, focused on enhancing business performance through data-driven methodologies. This Business & Management course equips learners with the skills to identify root causes of problems and test solutions using tools from ISO, Lean, and Six Sigma. Through the integration of these operational excellence methodologies, participants can align organizational operations data with performance standards, improving decision-making processes. The course features a mix of online lectures, videos, demos, project work, readings, and discussions, supplemented by case studies from the hospitality, manufacturing, and e-commerce sectors. These case studies help build data literacy while emphasizing privacy and data ethics. This comprehensive content prepares learners to apply their newfound knowledge to real-world scenarios, ultimately contributing to a company’s bottom line. Ideal for individuals with some familiarity with data interpretation and report analysis, this course is the third in the Data-Driven Decision Making (DDDM) specialization. The course duration is approximately 660 minutes, and it offers two subscription options: Starter and Professional. Join this course to develop a data-driven mindset and gain powerful insights for improving business performance. For more details on the specialization, watch the overview video [here](https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11).

Akshay Sivadas

Brittany O'Dea