Management tips for data scientists can be used by anyone – at work and in your personal life! Get the details in my blog post.
Tag Archives: data management
28
Feb
Feb
GitHub beginners – even in data science – often feel intimidated when starting their GitHub accounts and trying to interact with the web page. Don’t be shy! Catch the highlights from a recent GitHub beginners workshop I held!
29
Apr
Apr
You may already know that NACCHO is NOT cheese – but what is it? It’s a professional society for local public health officials. Read my blog post to learn what NACCHO does, and who it serves.
08
Apr
Apr
Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.
20
Jan
Jan
Interview preparation for data science jobs can involve taking several simple, actionable steps to make yourself feel confident and ready to answer questions with ease. Read my blog post for my tips and tricks!
14
Jan
Jan
Counting rows in SAS and R is approached differently, because the two programs process data in different ways. Read my blog post where I describe both ways.
06
Jan
Jan
Paid mentoring for data science can be worth the cost in certain circumstances – but not others. My blog post provides guidance on hiring a paid mentor.
23
Jul
Jul
Want to know what AHRQ stands for, what it does, and how all that relates to US public health? AHRQ is a main player in public health – even though it is technically supposed to be focused on healthcare.
Quality Assurance/Quality Improvement (QA/QI)
“Bad Blood” Highlights the Issues with No Administrative Barrier between Research and Clinical Data: Part 5 of 5
12
Jul
Jul
Read my last post in a series on data-related misconduct at startup Theranos outlined in the book, “Bad Blood”, where I discuss their lack of administrative barrier between research and clinical data.
Quality Assurance/Quality Improvement (QA/QI)
“Bad Blood” is a Lesson in How Bad Leadership Leads to Bad Data: Part 4 of 5
05
Jul
Jul
As a data science leader, what should you put in place so your organization doesn’t end up a data mess like startup Theranos? This blog posts provides guidance.
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