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#datascienceeducation — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #datascienceeducation, aggregated by home.social.

  1. 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/
  2. 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/
  3. 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/
  4. 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/
  5. 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/
  6. 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 […]
  7. 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 […]
  8. 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 […]
  9. 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 […]

  10. 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: yutannihilation.github.io/allY

    More: statisticsglobe.com/online-cou

    #datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package

  11. 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: yutannihilation.github.io/allY

    More: statisticsglobe.com/online-cou

    #datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package

  12. 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: yutannihilation.github.io/allY

    More: statisticsglobe.com/online-cou

    #datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package

  13. 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: yutannihilation.github.io/allY

    More: statisticsglobe.com/online-cou

    #datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package

  14. 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: yutannihilation.github.io/allY

    More: statisticsglobe.com/online-cou

    #datascienceeducation #coding #visualanalytics #tidyverse #ggplot2 #package

  15. 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.

    https://adsei.org/2025/04/10/scaling-scams/

  16. 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: aigents.co/learn/roadmaps/deep

    #statisticsclass #pythonprojects #datascienceeducation

  17. 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: aigents.co/learn/roadmaps/deep

    #statisticsclass #pythonprojects #datascienceeducation

  18. 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: aigents.co/learn/roadmaps/deep

    #statisticsclass #pythonprojects #datascienceeducation

  19. 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: aigents.co/learn/roadmaps/deep

    #statisticsclass #pythonprojects #datascienceeducation

  20. 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: aigents.co/learn/roadmaps/deep

    #statisticsclass #pythonprojects #datascienceeducation

  21. 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: statisticsglobe.com/r-function

    Learn more by visiting this link: statisticsglobe.com/online-cou

    #datascienceeducation #rprogramming #dataanalytic

  22. 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) […]

    https://adsei.org/2024/12/04/what-do-we-value/

  23. 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/

  24. 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/

  25. 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/

  26. 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/

  27. 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/

  28. 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: statisticsglobe.com/online-cou

    #datascienceeducation #rstats #analytics #pythondevelopers

  29. 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: statisticsglobe.com/online-cou

    #datascienceeducation #rstats #analytics #pythondevelopers

  30. 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: statisticsglobe.com/online-cou

    #datascienceeducation #rstats #analytics #pythondevelopers

  31. 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: statisticsglobe.com/online-cou

    #datascienceeducation #rstats #analytics #pythondevelopers

  32. 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: statisticsglobe.com/online-cou

    #datascienceeducation #rstats #analytics #pythondevelopers

  33. 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: en.wikipedia.org/wiki/Central_

    Comprehensive tutorial link: statisticsglobe.com/central-li

    Further details: statisticsglobe.com/central-li

    #datascienceeducation #analysisskills #dataanalytics #data

  34. 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: eepurl.com/gH6myT

    #datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata

  35. 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: eepurl.com/gH6myT

    #datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata

  36. 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: eepurl.com/gH6myT

    #datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata

  37. 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: eepurl.com/gH6myT

    #datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata

  38. 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: eepurl.com/gH6myT

    #datavisualization #data #statisticians #pythonlearning #datascienceeducation #bigdata

  39. 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: statisticsglobe.com/gdp-china-

    #datasciencetraining #datascienceeducation

  40. 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: eepurl.com/gH6myT

    #datascienceeducation #Data #Python #datastructure #DataScientist

  41. “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/