AI careers are not easy to navigate. Read my blog post for foolproof advice for those interested in building a career in AI.
Tag Archives: career development
24
Nov
Nov
Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!
17
Aug
Aug
R for logistic regression in health data analytics is a reasonable choice, if you know what packages to use. You don’t have to use SAS! My blog post provides you example R code and a tutorial!
13
Jul
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!
10
Jul
Jul
Internship strategy for data science is not obvious, and even if you are in a college program, they often expect you to find your own internship. Download our internship strategy guide and get the experience you want!
19
Jun
Jun
Understanding legacy data is necessary if you want to analyze datasets that are extracted from old systems. This knowledge is still relevant, as we still use these old systems today, as I discuss in my blog post.
13
Jun
Jun
Reducing query cost is especially important in SAS – but do you know how to do it, or what it even means? Read my blog post to learn why this is important in health data analytics.
12
Apr
Apr
Statistics trivia for data scientists will refresh your memory from the courses you’ve taken – or maybe teach you something new! Visit my blog to find out!
23
Mar
Mar
Management tips for data scientists can be used by anyone – at work and in your personal life! Get the details in my blog post.
07
Mar
Mar
REDCap mess happens often in research shops, and it’s an analysis showstopper! Read my blog post to learn my secret tricks for breaking through the barriers and getting on with data analytics!
