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.
Note: This page is periodically updated. Course information on the Coursera platform supersedes the information on this page. ClickÌýView on CourseraÌýbuttonÌýabove for the most up-to-date information.