Data science coaching for the right person at the right time can empower them to quickly turn around their grades in college, immediately wrap up a portfolio project, or springboard their career into management or higher! Read my blog to see how.
Tag Archives: college data science course
Applications basics are now essential knowledge if you want to do data science in healthcare. Get a crash course in applications basics!
WISE Summit 2023 at Northeastern University was the biggest and best one so far! I was honored to lead a business intelligence workshop, as I talk about in my blog post.
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!
Benchmarking runtime is different in SAS compared to other programs, where you have to request the system time before and after the code you want to time and use variables to do subtraction, as I demonstrate in this blog post.
Testimonials for Monika Wahi’s data science courses on LinkedIn Learning are posted here. Read what learners are saying to help you decide if you want to take the courses!
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.
Convert CSV to RDS is what you want to do if you are working with big data files in R GUI and want to improve efficiency. Read my blog post for an explanation and video demonstrations of this process!
Data science YouTube channel that brings you educational resources, career advice, live interactive sessions, and keeps you up-to-date in innovation and analytics – that’s what I have planned for 2022! Read my blog post for details.
Native formats in SAS and R of data objects have different qualities – and there are reasons behind these differences. Learn about them in this blog post!
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