#datascienceeducation — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datascienceeducation, aggregated by home.social.
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It turns out that there’s not always good reasons for what we do – particularly for what governments do! In fact, there are good reasons to stop doing them. Dingoes and land management, climate change, deforestation and many many more issues require us to examine the evidence – evidence we already have – and change our ways.
https://adsei.org/2026/05/04/evidence-base/ -
It turns out that there’s not always good reasons for what we do – particularly for what governments do! In fact, there are good reasons to stop doing them. Dingoes and land management, climate change, deforestation and many many more issues require us to examine the evidence – evidence we already have – and change our ways.
https://adsei.org/2026/05/04/evidence-base/ -
It turns out that there’s not always good reasons for what we do – particularly for what governments do! In fact, there are good reasons to stop doing them. Dingoes and land management, climate change, deforestation and many many more issues require us to examine the evidence – evidence we already have – and change our ways.
https://adsei.org/2026/05/04/evidence-base/ -
It turns out that there’s not always good reasons for what we do – particularly for what governments do! In fact, there are good reasons to stop doing them. Dingoes and land management, climate change, deforestation and many many more issues require us to examine the evidence – evidence we already have – and change our ways.
https://adsei.org/2026/05/04/evidence-base/ -
It turns out that there’s not always good reasons for what we do – particularly for what governments do! In fact, there are good reasons to stop doing them. Dingoes and land management, climate change, deforestation and many many more issues require us to examine the evidence – evidence we already have – and change our ways.
https://adsei.org/2026/05/04/evidence-base/ -
On the power of hope, and being troublemakers.
https://adsei.org/2026/04/29/defiance/ -
Taking a different tack with this episode, a wonderful chat with the remarkable Mark Stickells, AM, CEO of Pawsey Supercomputing Research Centre, on AI and the role of Humanities in STEM. "I fundamentally believe knowledge is a human insight. And we work with these tools that are incredibly powerful, but can be incredibly stupid." "We need the same level of literacy and critical perspective in this world of AI because it is incredibly humanized and it is easy to access. It can present […] -
I might ask the same questions every time, but there's no knowing where the conversations will go! A fabulous episode with the incredible Dr Katherine Ross. Check it out! "So I think my favorite part about data is that it is completely unpredictable. And that may also be my least favorite part about it." "That’s also my favorite and least favorite thing about coding, my favorite thing is that coding does exactly what you tell it to do. And my least favorite thing is that coding does […] -
Amazing conversation with Dr Emily Kahl from Pawsey Supercomputing Research Centre, on everything from the need for a humanities education in STEM, the application of Marxist and Feminist Lenses to Data Science, and a whole lot more. This was an absolute delight. Check it out! "I wanted to use the tools of maths and science and the life of the mind and thinking about things rigorously to make things better for people and to help people out. And I think, you know, there's a lot of, a lot of […] -
UNT Ph.D. Grad Gives $2M to Launch Data Science Innovation Lab » Dallas Innovates https://www.byteseu.com/1313915/ #AnuradhaSinha #broadcom #CollegeOfInformationLeadershipBoard #DataScienceEducation #DeanKinshuk #Denton #HarrisonKeller #NorthTexas #Science #SinhaInnovationLab #StemEducation #TheAnuradhaAndVikasSinhaDepartmentOfDataScience. #TheSinhaInnovationLabForDataScience #UniversityOfNorthTexas #UniversityResearch #UNT #UNTCollegeOfInformation #VikasSinha
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A super interesting episode with Professor Darren Mansfield on sleep, data, and sleep tracking devices.
“imagine if you go and run a one hour documentary on something that’s inconclusive. Here’s all the evidence for you is the evidence against and we can’t really don’t know. That’s not great television.”
” the truth is not always as clear cut and there are many layers of grey and there are many sides to a story”
“So you can see very rapidly that sleep apnea and for that matter other sleep […]
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Make your plots more stylish and visually appealing! The ggthemes package offers a variety of pre-built themes that help you customize the look of your ggplot2 visualizations, drawing inspiration from popular design standards.
The visualization shown here is from the package website: https://yutannihilation.github.io/allYourFigureAreBelongToUs/ggthemes/
More: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package
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Make your plots more stylish and visually appealing! The ggthemes package offers a variety of pre-built themes that help you customize the look of your ggplot2 visualizations, drawing inspiration from popular design standards.
The visualization shown here is from the package website: https://yutannihilation.github.io/allYourFigureAreBelongToUs/ggthemes/
More: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package
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Make your plots more stylish and visually appealing! The ggthemes package offers a variety of pre-built themes that help you customize the look of your ggplot2 visualizations, drawing inspiration from popular design standards.
The visualization shown here is from the package website: https://yutannihilation.github.io/allYourFigureAreBelongToUs/ggthemes/
More: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package
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Make your plots more stylish and visually appealing! The ggthemes package offers a variety of pre-built themes that help you customize the look of your ggplot2 visualizations, drawing inspiration from popular design standards.
The visualization shown here is from the package website: https://yutannihilation.github.io/allYourFigureAreBelongToUs/ggthemes/
More: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package
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Make your plots more stylish and visually appealing! The ggthemes package offers a variety of pre-built themes that help you customize the look of your ggplot2 visualizations, drawing inspiration from popular design standards.
The visualization shown here is from the package website: https://yutannihilation.github.io/allYourFigureAreBelongToUs/ggthemes/
More: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package
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If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.
I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap
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If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.
I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap
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If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.
I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap
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If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.
I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap
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If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.
I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap
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Hey, I've created a tutorial on how to calculate the mean of the columns & rows of a DataFrame using the pandas library in the Python programming language: https://statisticsglobe.com/mean-of-columns-rows-of-pandas-dataframe-in-python
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It’s important, when you’re making graphs, to think about the story you want to tell with the data, and what type of graph, and what features of the graph, will help you tell that story.
Likewise, when you’re looking at someone else’s graph, we all need to apply that critical data literacy and look at the scale on the y axis, as well as checking the labels, finding out the origin of the data, and considering whether the graph is accurate, a valid way to display that data, and what story it might be trying to tell you.
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I've put together a comprehensive list of essential R programming functions, featuring 511 (!) tutorials and examples. This can serve as your go-to cheat sheet for mastering R programming!
All tutorials: https://statisticsglobe.com/r-functions-list/
Learn more by visiting this link: https://statisticsglobe.com/online-course-r-introduction
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When I’m trying to get a piece of work out the door, I can often be heard muttering to myself “Perfect is the enemy of done.” Because the urge to fuss, and edit, and polish until not a blemish can be seen is absolutely fatal to the need to get something finished. I know that, but I often need reminding. Because I am a perfectionist at heart.
My kids (and, when I was a teacher, my students) […]
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What we can build this way is a world where policy is evidence based. Where we make data informed decisions, while understanding that the data isn’t perfect. Where kids are empowered to learn all of the skills they need to solve problems in their own communities. Where technological solutions are rationally evaluated, rather than uncritically worshipped.
https://adsei.org/2024/11/23/from-hypnotised-to-heretic-immunising-society-against-misinformation/
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ANOVA can be used to test whether there are differences among group means, but it doesn't tell you which specific groups differ from each other. That's where Tukey's HSD test comes in—it helps pinpoint exactly which group means are significantly different.
For more on Tukey's HSD and other statistical methods, join my online course on Statistical Methods in R.
More details are available at this link: https://statisticsglobe.com/online-course-statistical-methods-r
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The central limit theorem (CLT) is a fundamental concept in statistics, with wide-ranging applications. It states that the distribution of sample means approximates a Gaussian distribution (normal distribution) as the sample size grows, regardless of the population's original distribution.
Visualization link: https://en.wikipedia.org/wiki/Central_limit_theorem#/media/File:IllustrationCentralTheorem.png
Comprehensive tutorial link: https://statisticsglobe.com/central-limit-theorem
Further details: https://statisticsglobe.com/central-limit-theorem
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If we assume girls aren’t capable of doing computing, we won’t give them the opportunity to learn computing.
https://adsei.org/2024/10/20/the-place-of-women-in-computing/
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The tech industry is taking our data and taking us for a ride. It’s time to make noise!
https://adsei.org/2024/10/14/taken-for-granted-and-for-a-ride/
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Risk modeling is a fascinating aspect of data science, particularly in the context of Frequency-Severity modeling and Monte Carlo simulations.
Thanks to Gabriel Ryan for sharing this graph in a recent post, which explains the topic in further detail.
More information: http://eepurl.com/gH6myT
#datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata
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Did you know that China and India together account for over a third of the world's population? 🇨🇳🇮🇳 Their rapidly growing economies are transforming the global economic landscape.
Both countries face unique challenges but have the potential for continued economic growth.
I have created an extensive article on this topic for those who want to dive deeper into the GDP comparison between China and India. More details: https://statisticsglobe.com/gdp-china-vs-india
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Folium is a powerful Python library that lets you create stunning interactive maps using Leaflet.js. It's a fantastic tool for visualizing geographic data in a dynamic way.
With Folium, you can transform your data into beautiful maps with minimal effort, making it perfect for data analysts, geographers, and anyone interested in geographic visualizations.
More details are available at this link: http://eepurl.com/gH6myT
#datascienceeducation #Data #Python #datastructure #DataScientist
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“I grew up under the threat of nuclear war. Carl Sagan told us it was inevitable. It didn’t happen, and we’re not worried about nuclear war anymore, so obviously panicking about climate change is the same – in a few years we’ll realise there was nothing to be scared of. It’s not the crisis we think it is.”
I completely […]
https://adsei.org/2024/08/01/the-difference-between-climate-change-and-the-threat-of-nuclear-war/
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Legends in plots are like road signs! They guide readers through the maze of your data, making sure they don't get lost along the way.
Learn more: https://statisticsglobe.com/add-legend-plot-matplotlib-seaborn-python
#datascienceeducation #statisticians #Python #database #DataViz #pythoncode #DataVisualization #DataAnalytics
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What I love about projects like this is the opportunity for students to consider issues that don’t normally impact them, and then quantify them, and come up with ways to improve those numbers.
https://adsei.org/2024/07/08/using-data-science-to-investigate-discrimination-part-1-mobility/
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“Every decision that we make, whether we’re thinking about climate change, poverty, you know happiness, agriculture… how do we feed everyone, how do we clothe them, all of that is underpinned by data and mathematics.
https://adsei.org/podcast/dr-melissa-humphries-on-statistics-social-media-and-many-many-things/
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⚠️New blog post
📓Community College to Four-Year College Pathway for Statistics and Data Science Students
🔗 https://www.datapedagogy.com/posts/2024-05-22-pathway-cc/pathway-cc
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We must educate ourselves, and our children, to be in a position to be rationally sceptical of technological hype. As a society, we need some inoculation against magical technological thinking.
But where do teachers and schools start? Without a background in Artificial Intelligence, how can we expect teachers to inoculate our kids against the […]
https://adsei.org/2024/05/17/teacher-guide-to-ai-please-help/
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Logged GDP per capita, social support, freedom to make life choices, and perceptions of corruption are pivotal determinants of happiness.
More info in my webinar: https://statisticsglobe.com/webinar-data-analysis-visualization-r
#RStats #datascienceeducation #DataViz #database #DataScience #RStudio #Data
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When you penalise wrong answers, you build in a sense of shame and failure to being wrong that most people never get over. It leads to cheating, to covering up of mistakes, and to avoiding doing things where being wrong is a possibility.
How about, instead, we make it the default that you assume that you will be wrong in numerous ways. We make it […] -
In March 2024 I shared a survey online to see how covid cautious people are, and whether there’s a correlation between levels of caution and number of covid infections. The resulting dataset is rich, complex, and deeply flawed (like all surveys and most real datasets!). There’s scope for purely statistical investigations, and deep discussions […]
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In which I rant about tech companies marketing chatbots that are not fit for purpose.
People keep telling me this tech can only improve, so I gave it the benefit of the doubt, and threw it one of the tests that often causes me grief in my attempts to dine out or at people’s houses. Is this product gluten free?
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“The rise of populism has been substantial across the advanced world, indeed across developing countries as well. So those of us who believe in data need to be strong proponents of the publication of those data even when it produces results that make us uncomfortable.
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Risk modeling is a fascinating aspect of data science, particularly in the context of Frequency-Severity modeling and Monte Carlo simulations.
Thanks to Gabriel Ryan for sharing this graph in a recent post, which explains the topic in further detail.
More information: http://eepurl.com/gH6myT
#datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata
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Risk modeling is a fascinating aspect of data science, particularly in the context of Frequency-Severity modeling and Monte Carlo simulations.
Thanks to Gabriel Ryan for sharing this graph in a recent post, which explains the topic in further detail.
More information: http://eepurl.com/gH6myT
#datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata
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Risk modeling is a fascinating aspect of data science, particularly in the context of Frequency-Severity modeling and Monte Carlo simulations.
Thanks to Gabriel Ryan for sharing this graph in a recent post, which explains the topic in further detail.
More information: http://eepurl.com/gH6myT
#datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata
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Risk modeling is a fascinating aspect of data science, particularly in the context of Frequency-Severity modeling and Monte Carlo simulations.
Thanks to Gabriel Ryan for sharing this graph in a recent post, which explains the topic in further detail.
More information: http://eepurl.com/gH6myT
#datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata
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Hey, I've created a tutorial on how to calculate the variance of a NumPy array in the Python programming language: https://statisticsglobe.com/variance-numpy-array-python
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A bigger picture is all you need :coffee_hello: :blobthinkingglare: :flan_molotov:
#100daysofmlcode #MLops #datastuff #datascientists #datascienceeducation #devopsonline #MachineLearning