Applied Analytics and Data for Decision Making
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Applied Analytics and Data for Decision Making
This course is part of Data-Driven Decision Making (DDDM) Specialization
Instructors: Akshay Sivadas
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What you'll learn
Describe techniques to Identify root causes of variation and tools for evaluating potential solutions
Apply the Design of Experiments (DOE) technique to test improvement options
Evaluate, for a specific organization, which operational excellence methodology provides the maximum value
Explain how to foster a culture of data literacy
Skills you'll gain
- Quality Management Systems
- Quality Improvement
- Data-Driven Decision-Making
- Data Quality
- Data Ethics
- Data Analysis
- Lean Methodologies
- Six Sigma Methodology
- Data Literacy
- ISO 9000 Series
- Operational Excellence
- Lean Manufacturing
- Case Studies
- Decision Making
- Analytics
- Data Security
- Operations
- Process Improvement
- Lean Six Sigma
- Root Cause Analysis
Details to know
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Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
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.
This module guides learners through identifying the root causes for variation, and testing possible solutions.
What's included
4 videos5 readings1 assignment
4 videos•Total 37 minutes
- Introduction to Applied Analytics and Data for Decision Making•1 minute
- Identifying Root Causes•16 minutes
- Best Fit Solutions•8 minutes
- Testing Solutions•13 minutes
5 readings•Total 77 minutes
- Welcome Message and Course Overview•5 minutes
- Acknowledgements•2 minutes
- Identifying Root Causes Resources (Optional)•30 minutes
- Best Fit Solutions Resources (Optional)•20 minutes
- Testing Solutions Resources (Optional)•20 minutes
1 assignment•Total 30 minutes
- Applying Analytics to Implement Solutions Assessment•30 minutes
This module prepares you to align an organization’s operations data to its performance standards to achieve operational excellence.
What's included
5 videos4 readings1 assignment
5 videos•Total 31 minutes
- ISO•13 minutes
- Lean•6 minutes
- Six Sigma•6 minutes
- Operational Excellence•3 minutes
- Dan Gerena Discusses Melding Business and Data Strategies•3 minutes
4 readings•Total 100 minutes
- ISO Resources (Optional)•20 minutes
- Lean Resources (Optional)•20 minutes
- Six Sigma Resources (Optional)•40 minutes
- Operational Excellence Resources (Optional)•20 minutes
1 assignment•Total 30 minutes
- Data-Driven Operational Excellence•30 minutes
This module offers case examples of data-driven decision making in practice, and discusses how corporate culture relates to the success of such initiatives.
What's included
6 videos5 readings1 assignment
6 videos•Total 28 minutes
- A Data Literacy Culture •5 minutes
- Dan Gerena Discusses Implementation Challenges•3 minutes
- Data Ethics and Privacy•4 minutes
- Hospitality Case Study•7 minutes
- Manufacturing Case Study•5 minutes
- E-Commerce Case Study•4 minutes
5 readings•Total 160 minutes
- A Data Literacy Culture Resources (Optional)•30 minutes
- Data Ethics and Privacy Resources (Optional)•40 minutes
- Resources for Data-Driven Decision Making in Hospitality (Optional)•30 minutes
- Resources for Data-Driven Decision Making in Manufacturing (Optional)•30 minutes
- Resources for Data-Driven Decision Making in Ecommerce (Optional)•30 minutes
1 assignment•Total 30 minutes
- Applying Data-Driven Decisions to Real-World Challenges•30 minutes
This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.
What's included
1 video1 reading1 peer review1 discussion prompt
1 video•Total 1 minute
- Project: Applied Analytics and Data for Decision Making•1 minute
1 reading•Total 90 minutes
- Project: Applied Analytics and Data for Decision Making (REQUIRED)•90 minutes
1 peer review•Total 60 minutes
- Applied Analytics and Data for Decision Making•60 minutes
1 discussion prompt•Total 10 minutes
- Opportunity for Reflection•10 minutes
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Reviewed on Jan 30, 2022
This course very helpful in understanding the process of decision making
Reviewed on Oct 23, 2021
I think the course is excellent but we need more practics or resources for practics.
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