Tag Archives: Biostatistics

Learn R Online: Take it at Your Own Pace

Take our LinkedIn Learning courses in R, and master data science online

Learn R online and tackle statistical problems easily with open source software! Take my LinkedIn Learning courses and complete your own unique research projects.

Biostatistics for Dummies: The Thinking Data Scientist’s Quintessential Professional Reference

Get the updated Biostatistics for Dummies book

“Biostatistics for Dummies” is the thinking data scientist’s essential reference. Check out the updated 2024 version, which adds epidemiologic inference topics and modeling advice!

Confidence Intervals are for Estimating a Range for the True Population-level Measure

Many people find calculating confidence intervals easy - but how do you interpret them?

Confidence intervals (CIs) help you get a solid estimate for the true population measure. Read my blog and try my CI calculator!

Chi-square Test: Insight from Using Microsoft Excel

The chi-square test can be performed in Microsoft Excel.

Chi-square test is hard to grasp – but doing it in Microsoft Excel can give you special insight. Read about it on my blog!

The Paste Command in R is Great for Labels on Plots and Reports

The paste command is used to concatenate strings in R. You can use it different ways, which is what I demonstrate in my blog and videos.

The paste command in R is used to concatenate strings. You can leverage the paste command to make refreshable label objects for reports and plots, as I describe in my blog post.

Testimonials for Monika Wahi’s Linked In Data Science Courses

If you have questions about your journey toward a data science career, sometimes you can get them answered with online resources, but sometimes you do not get the information.

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!

Time Series Plots in R Using ggplot2 Are Ultimately Customizable

Time series plots can be customized if you use package ggplot2 in R. You can place labels and configure axes.

Time series plots in R are totally customizable using the ggplot2 package, and can come out with a look that is clean and sharp. However, you usually end up fighting with formatting the x-axis and other options, and I explain in my blog post.

Making Box Plots Different Ways is Easy in R!

There are two main ways to make box plots in R, and this blog post shows you how, and explains the differences.

Making box plots in R affords you many different approaches and features. My blog post will show you easy ways to use both base R and ggplot2 to make box plots as you are proceeding with your data science projects.

GPower Case Example Shows How to Calculate and Document Sample Size

This case example shows a use case where we estimated sample size in GPower under different conditions.

GPower case example shows a use-case where we needed to select an outcome measure for our study, then do a power calculation for sample size required under different outcome effect size scenarios. My blog post shows what I did, and how I documented/curated the results.

Interview Preparation for Data Science Positions: Tips and Tricks

You can actually prepare for interviewing for data science positions by doing certain activities, like looking up common questions, and practicing answers.

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!