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
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
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Technology & Innovation
└ course option
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Series
in
Data Science
└ course option
*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.
You can register for and take a course without applying and enrolling into the program.
We recommend that you apply to the program as soon as possible to lock in your course requirements as they are subject to change.
Looking for different course dates?
New course schedules are released each June and November.
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