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Stephanie Glen
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  • Jacksonville, FL
  • United States
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Stephanie Glen's blog post was featured

How to Communicate Data

The following graphic is based on Sam Priddy's excellent DSC/Tableau Webinar How to Accelerate and Scale Your Data Science Workflows. Sam covered many interesting points for organizing, analyzing and presenting data--including which graph is best suited for different data types. This graphic is an overview of some of Sam's points. For more…See More
yesterday
Duvan Martinez Benitez liked Stephanie Glen's blog post Math vs. Statistics in One Picture
Tuesday
Stephanie Glen's blog post was featured

Math vs. Statistics in One Picture

Math and statistics are vital components of any data scientist's tool box. While some view statistics as a type of math, the reality is that they are completely different subjects. Math is all about numbers and concrete answers, while statistics is making sense of numbers via educated "guesses." This one picture, based on Rossman et al's essay Some Key Comparisons between…See More
Jun 30
Stephanie Glen posted a blog post

Math vs. Statistics in One Picture

Math and statistics are vital components of any data scientist's tool box. While some view statistics as a type of math, the reality is that they are completely different subjects. Math is all about numbers and concrete answers, while statistics is making sense of numbers via educated "guesses." This one picture, based on Rossman et al's essay Some Key Comparisons between…See More
Jun 29
Stephanie Glen's 2 blog posts were featured
Jun 18
Stephanie Glen posted a blog post

Misleading Graphs Part 2: Ladders, Spaghetti, and Other Ways to Ruin a Graph

If you've spent any time with modeling data, you'll know that there are many pitfalls to be had when it comes to data presentation (I addressed some common pitfalls in Misleading Graphs Part 1). Misleading graphs can be the result of incorrect data collection, ignorance of the basic "rules" of data presentation (like labeling axes), or even deliberate attempts to mislead. A fourth…See More
Jun 18
Katrina Dunkley commented on Stephanie Glen's blog post You're a Data Artist, not a Data Scientist
"I completely agree, I'm trained in international political economy (the School of Arts and Sciences). I have had a lot of jobs that were heavily centered on econometrics, as they involved forecasting prices, hedging, finding cost optimizations…"
Jun 15
Katrina Dunkley liked Stephanie Glen's blog post You're a Data Artist, not a Data Scientist
Jun 15
carlo fanara commented on Stephanie Glen's blog post You're a Data Artist, not a Data Scientist
"Long story short: the attribute 'scientist', singles out the data scientist from the highly populated category of data practitioners (among which, on occasions you might also find artists). So I claim, you should be a scientist first - by…"
Jun 14
Jay Bakshi liked Stephanie Glen's blog post You're a Data Artist, not a Data Scientist
Jun 11
Jesus Fajardo liked Stephanie Glen's blog post You're a Data Artist, not a Data Scientist
Jun 11
Stephanie Glen's blog post was featured

You're a Data Artist, not a Data Scientist

"Data Scientist" is 2020's equivalent of the rocket scientist of the 1950's: mysterious, sexy, and well-paid. But are you actually a "scientist"? While “data science” isn't fully defined yet as an academic subject (National Academies of Sciences, Engineering, and Medicine, 2018), more and more evidence seems to point to it being more of an art, rather than a science. Are…See More
Jun 11
Stephanie Glen posted a blog post

You're a Data Artist, not a Data Scientist

"Data Scientist" is 2020's equivalent of the rocket scientist of the 1950's: mysterious, sexy, and well-paid. But are you actually a "scientist"? While “data science” isn't fully defined yet as an academic subject (National Academies of Sciences, Engineering, and Medicine, 2018), more and more evidence seems to point to it being more of an art, rather than a science. Are…See More
Jun 11
Shubham Srivastava liked Stephanie Glen's blog post Misleading Graphs: Avoid These Common Mistakes
Jun 6
Alexey Mints commented on Stephanie Glen's blog post Misleading Graphs: Avoid These Common Mistakes
"I would say, regardless of plot arrangement details - it is by far more important to properly choose the data to present, and plot similar values on the same plot. You cannot compare chances of death within a year with chances of death from a given…"
Jun 2
Vincent Granville liked Stephanie Glen's blog post Misleading Graphs: Avoid These Common Mistakes
Jun 1

Profile Information

Company:
Andale Publishing, LLC
Job Title:
CEO
Seniority:
Executive
Job Function:
Other
Industry:
Mathematics Education
Short Bio:
Stephanie Glen is Editorial director at DataScienceCentral.com. She is a mathematician and statistician. After working for several years teaching mathematics and statistics at the university level, she created and developed the website StatisticsHowTo.com.
Interests:
Contributing

Stephanie Glen's Blog

How to Communicate Data

Posted on July 8, 2020 at 9:02am 0 Comments

The following graphic is based on Sam Priddy's excellent DSC/Tableau Webinar How to Accelerate and Scale Your Data Science Workflows. Sam covered many interesting points for organizing, analyzing and presenting data--including which graph is best suited for different data types. This graphic is an overview of some of Sam's points. For more…

Continue

Math vs. Statistics in One Picture

Posted on June 29, 2020 at 2:30pm 0 Comments

Math and statistics are vital components of any data scientist's tool box. While some view statistics as a type of math, the reality is that they are completely different subjects. Math is all about numbers and concrete answers, while statistics is making sense of numbers via educated "guesses." This one picture, based on Rossman et al's essay Some Key…

Continue

Misleading Graphs Part 2: Ladders, Spaghetti, and Other Ways to Ruin a Graph

Posted on June 18, 2020 at 6:00am 0 Comments

If you've spent any time with modeling data, you'll know that there are many pitfalls to be had when it comes to data presentation (I addressed some common pitfalls in Misleading Graphs Part 1). Misleading graphs can be the result of incorrect data collection, ignorance of the basic "rules" of data presentation (like labeling axes), or even deliberate attempts to mislead. A fourth…

Continue

You're a Data Artist, not a Data Scientist

Posted on June 11, 2020 at 7:00am 2 Comments

"Data Scientist" is 2020's equivalent of the rocket scientist of the 1950's: mysterious, sexy, and well-paid. But are you actually a "scientist"? While “data science” isn't fully defined yet as an academic subject (National Academies of Sciences, Engineering, and Medicine, 2018), more and more evidence seems to point to it being more of an art, rather than a science. …

Continue

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At 3:52am on December 11, 2019, Jason Posavad said…

Your article is so relevant Stephanie, as I am 48 and contemplating an online masters in Data Science.  My answer has been to do as much as I can through MOOCs, self-driven projects, and other less-expensive learning.  If it gets to the point that I have done all of that and proven to myself that I can do Data Science, and that I need a degree to get land a job, I will then do it.   Reality is you do need to be more careful and more risk-averse as you age, as the time to recover from mistakes is just not there anymore.  

 
 
 

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