Data Analysis and Visualization

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

Instructors: Peter Baumgartner +1 more

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What you'll learn

  •   Identify stakeholders and key components imperative to an analytics project plan
  •   Name strengths and weaknesses of different analysis and visualization tools
  •   Visually identify, monitor, and remove process variation
  •   Explain how to create a compelling data story

    • Skills you'll gain

  •   Data Storytelling
  •   Statistical Analysis
  •   Minitab
  •   Data Quality
  •   Process Analysis
  •   Key Performance Indicators (KPIs)
  •   Business Strategies
  •   Data Analysis
  •   Data-Driven Decision-Making
  •   Business Analytics
  •   Statistical Process Controls
  •   Data Visualization Software
  •   Data Cleansing
  •   Business Process

    • 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 second 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.

    Statistical Process Control (SPC)

    Data Visualization and Translation

    Project: Data Analysis and Visualization

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