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Coursera

Data-Driven Decision Making (DDDM)

University at Buffalo and State University of New York via Coursera Specialization

Overview

This specialization explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). The three-course series explores how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights. Course topics include analyzing process maps for driving improvement, software for maximizing data analysis, statistical process control, creating metrics dashboards and translating data stories, and the connection between operations technology metrics and organizational performance. Content touches on leadership’s role in instituting an internet of things (IoT) strategy in manufacturing and service environments. Lessons feature case studies highlighting ROI achieved through DDDM, and the cultural changes required for success. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.

Syllabus

Course 1: Data-Driven Process Improvement
- By the end of this course, learners are empowered to implement data-driven process improvement objectives at their organization. The course ... Enroll for free.

Course 2: Data Analysis and Visualization
- By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss ... Enroll for free.

Course 3: Applied Analytics and Data for Decision Making
- By the end of this course, learners are prepared to identify and test the best solutions for improving performance and integrating concepts ... Enroll for free.

Courses

Taught by

Akshay Sivadas, Brittany O'Dea and Peter Baumgartner

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