This website includes lecture slides, notes, and R projects, from the most recently completed semester.
As the current semester progresses, lectures will be updated.
Starting on page 8 (10th document page), this paper provides specific language about different roles in data analytics.
This section may be helpful as you try to explain your skillset in interviews.
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.
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.