Author Archives: Monika Wahi

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.

Querying the GHDx Database: Demonstration and Review of Application

Many data scientists interested in health are looking to query the Global Burden of Disease database, also known as the GHDx

Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!

Variable Names in SAS and R Have Different Restrictions and Rules

You need to come up with names of variables in SAS and in R, but they need to be compatible with both languages if you are running a data warehouse.

Variable names in SAS and R are subject to different “rules and regulations”, and these can be leveraged to your advantage, as I describe in this blog post.

Referring to Variables in Processing Data is Different in SAS Compared to R

When doing data processing, especially extract-transform-load (ETL) into a data warehouse, you might need to refer to the variables in your code, and it's done differently in SAS vs. R.

Referring to variables in processing is different conceptually when thinking about SAS compared to R. I explain the differences in my blog post.

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!

Researching Data Science Companies: How to Evaluate Your Future Employer

You should research companies offering data science job positions before scheduling an interview, because you do not want to be surprised during the hiring process.

Researching data science companies who might be your future employers, but you don’t know where to start? Read my blog post to learn my simple approach.

Counting Rows in SAS and R Use Totally Different Strategies

If you are a data scientist working with large datasets, you need to learn the commands to count both columns and rows in the dataset, whether you are using SAS or R.

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.

Native Formats in SAS and R for Data Are Different: Here’s How!

Why use particular data formats for different programming languages in statistics? Because the programs can then process the data faster and with more accuracy.

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!

Paid Mentoring for Data Science: Is it Worth the Cost?

If you are wondering if you should set up a paid mentoring relationship with a data science mentor, you definitely want to read this. You want to make sure you get your money's worth.

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.

Need an Online Curriculum in Data Science or Public Health that is Engaging? Here are my Freebies and Hacks!

This blog post talks about how I use deeper learning principles when I develop online curricula for public health and data science.

Need online curriculum in data science or public health that keeps the learners engaged? I share a links to free resources as well as my hacks to interest high!

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