Applied Analytics and Data for Decision Making

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

Instructors: Akshay Sivadas +1 more

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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
  • Skills you'll gain

  •   Process Improvement
  •   Operational Excellence
  •   Operational Efficiency
  •   Lean Methodologies
  •   Quality Management Systems
  •   Internet Of Things
  •   Data Ethics
  •   Six Sigma Methodology
  •   Data Security
  •   Root Cause Analysis
  •   Data Literacy
  •   Data-Driven Decision-Making
  •   ISO 9000 Series
  •   Decision Making
  •   Analytics
  • There are 4 modules in this course

    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.

    Data-Driven Operational Excellence

    Applying Data-Driven Decisions

    Project: Applied Analytics and Data for Decision Making

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