Statistical Data Modeling in Business Analytics I

In this hands-on course, you will focus on the appli­ca­tion of fit­ting sim­ple sta­tis­ti­cal mod­els to data and exper­i­ments. The dif­fer­ence between descrip­tive and infer­en­tial sta­tis­tics will be dis­cussed, with the intro­duc­tion of prob­a­bil­i­ty and data dis­tri­b­u­tions. You will then fit sim­ple mod­els to data start­ing with sim­ple lin­ear regres­sion, mul­ti­ple lin­ear regres­sion and analy­sis of vari­ance. By the end of the course, you should be able to inter­pret sta­tis­ti­cal mod­els of how to report them. Pre­req­ui­site EXGEN 5449
Course at a glance
  • Aimed at mid-level managers who are involved with data analysis and the analytics needs within their organization.
  • In-class, face-to-face delivery.
  • A hands-on, experiential course based on short lectures, discussions, and plenty of in-class exercises using R.
What you will learn

By the end of this course, you should be able to:

  • Have a basic understanding of statistical concepts: descriptive vs. inferential statistics, sampling and probability distributions, and experimental design.
  • Use the R programming language for statistical computing to carry out basic statistical analyses: correlation; simple linear regression; one sample, two sample; and paired t-tests.
  • Visualize and interpret statistical output.
  • Understand the meaning of statistical output.
  • Visualize results in a publication-ready format.
  • Acknowledge the limitations of the results.
Prerequisites
Required EXGEN 5449 – R Language for Statistical Computing in Business Analysis
Take note:

  • All course resources and learning materials are provided in-class.
  • Students are required to bring a laptop; R and R Studio will be downloaded in class.
  • This is an attendance-basis, non-graded course.
Currently counts towards

*If you are already enroled in this program, please refer to your specific program requirements as outlined at the time of your admission: Bear Tracks > Academic Advisement.

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We recommend that you apply to the program as soon as possible to lock in your course requirements as they are subject to change.

Email

extnreg@ualberta.ca

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