Tag Archives: business data

Data Science

NHANES Data: Pitfalls, Pranks, Possibilities, and Practical Advice

Posted on by Monika Wahi
If you are interested in population-level surveillance data, you might have thought about using NHANES data in portfolio projects.
02
Nov

NHANES data piqued your interest? It’s not all sunshine and roses. Read my blog post to see the pitfalls of NHANES data, and get practical advice about using them in a project.

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Data Science

Defaults in PowerPoint: Setting Them Up for Data Visualizations

Posted on by Monika Wahi
The defaults in PowerPoint are really set up for making presentations, not data visualizations.
06
Oct

Defaults in PowerPoint are set up for slides – not data visualizations. Read my blog post for tips on reconfiguring PowerPoint to make it easy for dataviz!

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Press Room

WISE Summit 2023: Women Leaders “Created by Courage”

Posted on by Monika Wahi
For the WISE 2023 Summit at Northeastern University in Boston, Monika hosted a business intelligence workshop.
21
Mar

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.

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Data Science

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

Posted on by Monika Wahi
AI on the edge refers to doing the AI processing and equations at the site of the object collecting the data.
06
Jun

“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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Courses

Testimonials for Monika Wahi’s Linked In Data Science Courses

Posted on by Monika Wahi
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.
21
Apr

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!

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Data Science

Making Upset Plots with R Package UpSetR Helps Visualize Patterns of Attributes

Posted on by Monika Wahi
If you are having trouble setting options using R making plots, then you should read this blog post.
03
Apr

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.

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Data Science

Convert CSV to RDS When Using R for Easier Data Handling

Posted on by Monika Wahi
If you want to use R for a project and the source CSV is very big, it can improve input/output efficiency to convert the file to an RDS.
25
Mar

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!

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Career Development

Interview Preparation for Data Science Positions: Tips and Tricks

Posted on by Monika Wahi
You can actually prepare for interviewing for data science positions by doing certain activities, like looking up common questions, and practicing answers.
20
Jan

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!

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Data Science

Counting Rows in SAS and R Use Totally Different Strategies

Posted on by Monika Wahi
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.
14
Jan

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.

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Data Science

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

Posted on by Monika Wahi
Why use particular data formats for different programming languages in statistics? Because the programs can then process the data faster and with more accuracy.
07
Jan

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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