Applied Analytics and Data for Decision Making (Coursera)

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.

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Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for c-suite professionals, directors and senior-level managers who want to develop a data-driven mindset. Learners should have some familiarity with reading reports, gathering and using data, and interpreting visualizations.

Continuing education units (CEUs) and professional development hours (PDHs) are available through the UB Center for Industrial Effectiveness (UB TCIE) for learners who earn a course certificate.
What You Will 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

Course 3 of 3 in the Data-Driven Decision Making (DDDM) Specialization.

Syllabus

WEEK 1

Applying Analytics to Implement Solutions

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

WEEK 2

Data-Driven Operational Excellence

This module prepares you to align an organization’s operations data to its performance standards to achieve operational excellence.

WEEK 3

Applying Data-Driven Decisions

This module offers case examples of data-driven decision making in practice, and discusses how corporate culture relates to the success of such initiatives.

WEEK 4

Project: Applied Analytics and Data for Decision Making

This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.

Data-Driven Decision Making (DDDM) Specialization

Design of Experiments