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Applied Analytics and Data for Decision Making

Applied Analytics and Data for Decision Making

This course is part of Data-Driven Decision Making (DDDM) Specialization

Instructors: Akshay Sivadas

10,085 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

138 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

138 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments¹

AI Graded see disclaimer

Taught in English

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Data-Driven Decision Making (DDDM) Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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.

Module details

This module guides learners through identifying the root causes for variation, and testing possible solutions.

What's included

4 videos5 readings1 assignment

4 videosTotal 37 minutes

Introduction to Applied Analytics and Data for Decision Making1 minute
Identifying Root Causes16 minutes
Best Fit Solutions8 minutes
Testing Solutions13 minutes

5 readingsTotal 77 minutes

Welcome Message and Course Overview5 minutes
Acknowledgements2 minutes
Identifying Root Causes Resources (Optional)30 minutes
Best Fit Solutions Resources (Optional)20 minutes
Testing Solutions Resources (Optional)20 minutes

1 assignmentTotal 30 minutes

Applying Analytics to Implement Solutions Assessment30 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 videosTotal 31 minutes

ISO13 minutes
Lean6 minutes
Six Sigma6 minutes
Operational Excellence3 minutes
Dan Gerena Discusses Melding Business and Data Strategies3 minutes

4 readingsTotal 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 assignmentTotal 30 minutes

Data-Driven Operational Excellence30 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.