DTSA 5704 Managing, Describing, and Analyzing Data

Same as DTSA 5900-1

  • Specialization:ÌýData Science Methods for Quality Improvement
  • Instructor:ÌýWendy Martin,ÌýInstructor,ÌýW. Edwards Deming Professor of Management
  • Prior knowledge needed:ÌýR programming, Statistics, Math, Algebra II

Learning OutcomesÌý

  • 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: 3h

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: 5h

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

Duration: 4h

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: 3h

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

Duration: 2h 15m

Upon completion of this module, students will be able to use R and RStudio to perform statistical tests for two groups with independent and dependent data.

Duration: 2h

You will complete a multiple choice exam worth 20% of your grade. You must attempt the final in order to earn a grade in the course. If you've upgraded to the for-credit version of this course, please make sure you review the additional for-credit materials in the Introductory module and anywhere else they may be found.

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