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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.
This link provides permanent access to the most recent lecture slides, notes, and R projects after the semester has ended.
Homework assignments, practice questions, and project information are not included on the permanent site.
R - Required all semester
RStudio - Required all semester
Quarto - Required after HW 1
Posit Cloud - Required after Quiz 2 but can be used sooner if needed.
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.
This Data Dashboard group project (23% of course grade) serves two purposes in the BUA 455 curriculum:
Students will better understand the whole data management process and how to make good choices at each step to make the work process more efficient and reproducible.
Students will learn about the interactive components of a data management and visualization project, i.e., a dashboard, including how to communicate with technically knowledgeable colleagues and non-technical audiences.
Students in Groups of 5 or 6 will develop a Data Dashboard.
In class, we will review how to use the Quarto Dashboard format to publish a multi-page dashboard.
Each group will aggregate, manage, and curate data for a hypothetical client to address their data questions and needs.
Each student in the group, except for one, will be responsible for one page of the dashboard.
One person in each group (who doesn’t have their own page) will oversee project as a whole and ensure that the dashboard is cohesive.
Each page can present a single plot, a set of plots, or a plot and a table, and should have explanatory text and citations for data sources if needed.
The final page of your dashboard will include all citations for software, software packages, AI sources, and data used to create your dashboard.
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.
This group created a highly customized color scheme which is not required.
Groups can use one of the many packaged dashboard themes that work really well.
Overall, this is excellent work but dashboards should be less wordy.
This group used the default theme which is fine, but it is easy to change.
Overall, this is also excellent work, but again, a little too wordy.
The perceptive depth of the analysis in the plots made this project stand out.
This group used a packaged dashboard theme and complementary color pallettes that enhanced their dashboard.
This group also did an excellent job of editing the text and almost all of the pages are well arranged.
The data management in the dashboard was excellent. If this was a graduate class, I would encourage the students to go further with the analyses. I also might suggest more advanced plots and subsequent data exploration suggested by the work they had already completed.