#data analytics
On the menu for this weekend:
- Design survey questionnaire for factor analysis (I’m doing a research study to determine why so few math students are using online tutoring at my institution)
- Get approval from Institutional Research department to deploy my survey
- Diddle around with Tableau (I want to build a faculty-facing data dashboard breaking down tutoring utilization at my institution)
Y’all, I think I’m doing it! I think I’m growing into a baby data scientist!
I think that, for me, part of the appeal of data analytics / data science is the aspect of seeking structure in chaos. My executive functioning skills have been especially suffering during work-from-home times, but my graduate studies are helping me build the skills to take the chaos and disorder and translate it into an organized format that can then be analyzed, optimized, and used to better-understand the big picture.
Since I’m still floating around in survive-then-thrive mode, I don’t yet have the time to put together any helpful tips for others to consider; however, doing so is ultimately my major goal for this blog. Some topics I’ve already been learning and hope to address soon via new content are:
- Identifying reliable research via 6 key characteristics
- Building a strong hypothesis for a research study
- Designing effective research methods
- Understanding key concepts in beginner database management and design
Skills I haven’t learned yet but eventually want to share:
- Programming in R
- Programming in SQL
- …and likely SO much more
Currently drowning in code. Drawing dope stuff helps. Would anybody want this on Redbubble?
