Wendy Martin

Wendy Martin is the W. Edwards Deming Professor of Management in the Lockheed-Martin Engineering Management Program, teaching in the area of Quality Science. She earned her undergraduate degree in Mechanical Engineering from Purdue University, and a Masters of Engineering from the Lockheed-Martin Engineering Management Program at the University of Colorado Boulder, with an emphasis in six sigma, quality systems and applied statistics. Prior to her graduate degree, she was trained in statistical methods by Luftig & Warren International (LWI). Wendy also worked for 14 years at Anheuser-Busch, where she became skilled in the application of statistics in an industrial environment.

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Data Driven Decision Making (Coursera)

Once we have generated data, we need to answer the research question by performing an appropriate statistical analysis. Engineers and business professionals need to know which test or tests to use. Through this class, you will be able to perform one sample tests for comparison to historical data. You [...]

Data Acquisition, Risk, and Estimation (Coursera)

Engineering and Business professionals often have access to many sources of data. The best way to way to ensure your data is both valid and reliable is to plan for it ahead of time. Through this class, you will be able to plan for accurate and precise data generation, [...]

Defining, Describing, and Visualizing Data (Coursera)

As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you will be able to get to the bottom of what you really want to know, describe the associated data related [...]

Measurement Systems Analysis (Coursera)

In this course, you will learn to analyze measurement systems for process stability and capability and why having a stable measurement process is imperative prior to performing any statistical analysis. You will analyze continuous measurement systems and statistically characterize both accuracy and precision using R software. You will perform [...]

Stability and Capability in Quality Improvement (Coursera)

In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will [...]

Managing, Describing, and Analyzing Data (Coursera)

In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used [...]