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Data Analysis Workshop I

June 13-17, 2022
1:30 p.m. – 5:00 p.m.
2 credits
Course Number: 140.613.11 (onsite)
                                     140.613.49 (online)


This is a hybrid course with both an in-person section (140.613.11) and a synchronous online section (140.613.49). Please choose the modality you need (either in-person or online) when registering in SIS.

"John has never disappointment me in his excellent instructional skills. He is a subject matter expert! An incredible knowledge gain for the last 5 days during the course. Great job!"—Student, 2019

"Absolutely fantastic professor, one of the best I have had. Many of us said we wished we could have him for everything. Very engaging, approachable, and willing to take the time to explain things."—Student, 2018

Course Instructor:


Intended for students with a broad understanding of biostatistical concepts used in public health sciences who seek to develop additional data analysis skills. Emphasizes concepts and illustration of concepts applying a variety of analytic techniques to public health datasets in a computer laboratory using Stata statistical software. In the first workshop (140.613), students learn basic methods of data organization/management and simple methods for data exploration, data editing, and graphical and tabular displays. Also covered basic statistical methodology including the comparison of means and proportions. Enrollment limited: students must have a laptop computer with Intercooled Stata 14 or Intercooled 15 installed.

Student Evaluation: Student evaluation based on laboratory exercises, an exam, and completion of an independent data analysis project.

Learning Objectives:  Upon successfully completing this course, students will be able to

  • Learn to create, save and edit Stata datasets, log files and do files

  • Use Stata to perform exploratory data analysis for continous and dichotomous variables

  • Use Stata do files to create reproducible analyses

  • Recognize the distinction between and appropriate uses of the binomial, poisson and normal probability models

  • Use Stata to perform paired and unpaired t-tests for differences in group means

  • Understand the appropriate use of paired and unpaired t-tests and the interpretation of the resulting Stata output

  • Use Stata to perform a chi-squared test and compute confidence intervals for differences in group proportions, relative risks and odds ratios

  • Understand the appropriate use of chi-squared tests and the interpretation of the resulting Stata output.

Prerequisite: 140.611 and 140.612 or equivalent

Grading Options: Letter Grade or Pass/Fail

Special Comments: Students must have a laptop computer with Intercooled Stata 16 or 15 installed. Student discounts are available for Intercooled Stata.

Course Materials: Provided in class

Related Courses: Data Analysis Workshop II  • Advanced Data Analysis Workshop