This is the permanent version of Professor Pooler’s BUA 345 Course Website and is only updated at the end of the semester or when substantial changes are made to the material during the semester.
Homework assignments and ‘Practice Questions’ for tests are not posted on the permanent BUA 345 Website.
Lectures that are solely devoted to review and preparation for mid-semester tests and the final exam are also not available on the permanent website.
Using AI in coding and writing is commonplace and helpful if used cautiously and ethically.
This is a great ‘letter’ from a high school student who ‘broke up’ with AI because she felt it was supplanting her own voice. It’s worth your time to read and consider it.
LinkedIn Learning - Free for Syracuse University Students, Staff, and Faculty
R for Data Science: Analysis and Visualization - This training is optional and provides a good introduction to R and RStudio which are used in this course.
Python Essential Training - Python is not used in this course but it is helpful for analytics and data science.
DataCamp - An excellent (but not free) online learning center for many software packages. Costs can be subsidized (see below).
The WIRE initiative will subsidize costs of online software training that results in certification.
Contact their office to arrange a meeting and develop a plan.
Create a BUA 345 folder on your laptop’s Desktop.
Click link below to open file, then click File > Download > Microsoft Excel (.xlsx)
Move file from Downloads to your Desktop BUA 345 folder.
My User Name: penelopepoolereisenbies685
BUA 345 Student R Files for Lectures 7-18 - R Project on Posit Cloud - Click link to open file in your Posit Cloud and save it. Once file is saved to your account, you should not click this link again.
Excel Files - Download to a BUA 345 folder on your desktop:
Posit Cloud Demo - Titanic Data - Click links
BUA 345 Student R Files for Lectures 25, 26 and HW 10 - R Project on Posit Cloud - Click link to open file in your Posit Cloud and save it.Once file is saved to your account, you should not click this link again.
There is a very short in-class exercise on Blackboard associated with this in-class activity. This will count for today’s class particpation. No Blackboard submissions for this exercise will be accepted after midnight on Wednesday, 4/23.
Lecture 26 - Forecasting - Part 2
Lecture 25 - Introduction to Forecasting
Students in BUA 345 are NOT required to install R and RStudio on their laptop but they are encouraged to.
R and RStudio are two separate software components. Download and install R and then download and install RStudio.
When updating your version of R or RStudio, uninstall the previous version first.
R can be downloaded from the Comprehensive R Archive Network
Mac installation is similar.
If you do not need to uninstall an out-of-date version of R, skip to 0:53.
The current version of R is 4.5.2.
RStudio can be downloaded from Posit, the parent company of RStudio.
Mac installation is similar.
If you do not need to uninstall an out-of-date version of RStudio, skip to 0:56.
The version shown in the video is from August of 2024 and is out-of-date.
The current version of RStudio is 2026.1.0.392.
Many data sources provide data in a downloadable format such as Excel (.xlsx) or .csv. I recommend saving data as CSV UTF-8 files with a .csv postscript.
The list below is in alphabetical order and is not an exhaustive list.
Some data sources do not provide data in a downloadable format so the data values have to be scraped from the website.
A wide variety of data about Europe can be accessed at this site.
Aanalogous to US.Gov for the United States.