Tag Archives: business transparency

Bivariate Table: How to Make a Descriptive Statistical Summary in Excel

Do you know how to do descriptive statistics? Learn how to make better visualizations.

Bivariate table is full descriptive summaries of the variables in the analytic dataset being used in a research analysis. To learn how to make one, take my online course, “How to Make a Bivariate Table in Excel”.

AI Careers: Riding the Bubble

If you are a data scientist, you may want to do statistics, but you may also be interested in machine learning and artificial intelligence.

AI careers are not easy to navigate. Read my blog post for foolproof advice for those interested in building a career in AI.

Data Close-out Course: Learn How to do Data Close-out Online!

Data close-out course available in the DPS learning center is long and comprehensive, so I call it a “boot camp”. This data-close out course will teach you what you need to know to plan a data close-out.

Data close-out course is what you need if you want to combine data from multiple sources and serve it to users. Learn how with our online boot camp!

Data Science Coaching: Improve your Grade – or your Career!

Sometimes college students need an academic coach, but other times, career professionals need advice from a peer.

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.

Table Editing in R is Easy! Here Are a Few Tricks…

When you use a data analysis program like R or SAS, you often have to do some data editing. It can be difficult because the software was intended for calculations, not transformation.

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.

R for Logistic Regression: Example from Epidemiology and Biostatistics

Logistic regression calculate the log odds of the probability of the outcome. Many people are used to using SAS for logistic regression, but you can also use R.

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!

WISE Summit 2023: Women Leaders “Created by Courage”

For the WISE 2023 Summit at Northeastern University in Boston, Monika hosted a business intelligence workshop.

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: How it Got There, and How to Clean it Up

REDCap mess on your hands? The REDCap designers made the application so loosey goosey, you can really program yourself into a messy corner if you don't plan well.

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!

End-to-End AI Pipelines: Can Academics Be Taught How to Do Them?

What is an end-to-end AI pipeline? And why are academics so bad at making one? These are different ideas we will examine in this blog post.

End-to-end AI pipelines are being created routinely in industry, and one complaint is that academics can only contribute to one component of the pipeline. Really? Read my blog post for an alternative viewpoint!

AI on the Edge: What it is, and Data Storage Challenges it Poses

AI on the edge refers to doing the AI processing and equations at the site of the object collecting the data.

“AI on the edge” was a new term for me that I learned from Marc Staimer, founder of Dragon Slayer Consulting, who was interviewed in a podcast. Marc explained how AI on the edge poses a data storage problem, and my blog post proposes a solution!

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