Tag Archives: data science training
Nov
Apply weights to get weighted proportions and counts! Read my blog post to learn how to use the survey package in R.
Aug
Table editing in R is easier than in SAS, because you can refer to columns, rows, and individual cells in the same way you do in MS Excel. Read my blog post for example R table editing code.
Jul
Portfolio project examples are sometimes needed for newbies in data science who are looking to complete independent projects. This blog post provides some great examples of independent projects you can do with datasets available online!
Apr
Making upset plots with R package UpSetR is an easy way to visualize patterns of attributes in your data. My blog post demonstrates making patterns of co-morbidities in health survey respondents from the BRFSS, and walks you through setting text and color options in the code.
Mar
Can you name categories other than “food” and “drugs” that are regulated by the FDA in the US? Read this blog post to learn what they are, and what the FDA does in the US.
Feb
Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!
Nov
Want to get started learning about SAS macros? This blog post provides SAS macros for beginners with video tutorials to walk beginners and code newbies through the basic steps!
Aug
What is the CEPH, and how does it relate to the other organizations in US public health? This blog post explains the history and function of the CEPH, and how it connects to the rest of Big Public Health in the US.
Jul
The United States (US) Bureau of Primary Healthcare (BPHC) is the federal agency that funds our safety net infrastructure serving patients who can’t get on Medicare or Medicaid. I explain how all that works, and the relationship of BPHC to the rest of the public health infrastructure.
