It is not possible to effectively keep track of absence excuses or PointSolutions technical issues through email.
If you are absent or have a temporary technical issue with Point Solutions, use this Google form to explain.
Point Solutions - Required by Lecture 3. Register from BUA 345 Blackboard site so that registration is linked to this course.
Posit Cloud - Cloud access to R and RStudio
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 RStudion whch 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).
Whitman WIRE Initiative - The WIRE initiative will subsidize costs of online software training the results in certification.
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.
Lecture 28 - Course Wrap Up and Some Review
Lecture 27 - Stock Dashboard
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
.qmd files for Lecture 25, 26, and HW 10.Lecture 25 - Introduction to Forecasting
.qmd files for Lecture 25, 26, and HW 10.Lecture 24 - Linear and Integer Programming
Lecture 23 - Introduction to Unconstrained Optimization
Lecture 22 - Introduction to Non-Linear Models
Lecture 19 - Review for Quiz 2
Lecture 18 - Logistic Regression
Lecture 17 - More about Model Selection
Lecture 16 - Introduction to Model Selection Continued
Lecture 15 - Introduction to Model Selection
Lecture 14 - Categorical Regression - Interaction Model
Lecture 13 - Categorical Regression - Parallel Lines Model
Lecture 11 Review for Quiz 1 using Practice Questions / Intro to HW 5
Lecture 10 - Multiple Linear Regression Models in R
Lecture 9 - More about Linear Regression Models in R
Lecture 8 - Introduction to Regression Modeling in R
Lecture 7 - Introduction to R/Rstudio in Posit Cloud and Review of Correlation
Excel Files - Download to a BUA 345 folder on your desktop:
Lecture 6 - Data Queries
Lecture 5 - Descriptive Analytics with Pivot Tables Cont’d
Lecture 4 - Descriptive Analytics with Pivot Tables
Posit Cloud Demo - Titanic Data - Click links
Lecture 3 - Data Preparation and Conditional Formatting
Lecture 2 - Data Preparation in Excel
Lecture 1 - Welcome and Introduction to Business Analytics
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 4.4.3.
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 2024.12.1.563.
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.