Applied Analytics and Data for Decision Making

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Course overview

Provider
Coursera
Course type
Free online course
Level
Beginner
Deadline
Flexible
Duration
11 hours
Certificate
Paid Certificate Available
Course author
Akshay Sivadas
  • 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

Description

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.
Applied Analytics and Data for Decision Making
  • English language

  • Recommended provider

  • Certificate available