Applied Analytics and Data for Decision Making
University at Buffalo and State University of New York via Coursera
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Overview
Class Central Tips
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.
Syllabus
- Applying Analytics to Implement Solutions
- This module guides learners through identifying the root causes for variation, and testing possible solutions.
- Data-Driven Operational Excellence
- This module prepares you to align an organization’s operations data to its performance standards to achieve operational excellence.
- 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.
- 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.
Taught by
Akshay Sivadas and Brittany O'Dea
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