Same as DTSA 5900-1

  • Specialization: Data Science Methods for Quality Improvement
  • Instructor: Wendy Martin, Instructor, W. Edwards Deming Professor of Management
  • Prior knowledge needed: R programming, Statistics, Math, Algebra II

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Learning Outcomes 

  • Calculate descriptive statistics and create graphical representations using R software
  • Solve problems and make decisions using probability distributions
  • Explore the basics of sampling and sampling distributions with respect to statistical inference
  • Classify types of data with scales of measurement

Course Content

Duration: 1h 53m

Upon completion of this module, students will be able to use R and R Studio to work with data and classify types of data using measurement scales.

Duration: 2h 4m

Upon completion of this module, students will be able to use R and R Studio to create visual representations of data.

Duration: 2h 11m

Upon completion of this module, students will be able to use R and R Studio to calculate descriptive statistics to describe location, spread and shape of data.

Duration: 3h 19m

Upon completion of this module, students will be able to apply the rules and conditions of probability and probability distributions to make decisions and solve problems using R and R Studio.

Duration: 2h 15m

Upon completion of this module, students will be able to use R and R Studio to characterize sampling and sampling distributions with respect to statistical inference.

 

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