Finding Your Own Data: Study Hall Data Literacy #15: ASU + Crash Course
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- Опубліковано 2 жов 2024
- It's our final episode of Study Hall: Data Literacy, and what we want to talk about is how we find our own data. How do we know what we want to know? And how do we go about collecting it? And how do we challenge our own bias? In this last episode, Jessica chats about all of that and more!
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Wow! this is a great series. Thank you
John Snow: "Cholera is coming ..."
🤪
Great series, informative and well presented. I admit the presenter is a pleasure to see too, bonus for us lol.
Thanks for the series, it was very informative and helpful
Asking the right questions!!!🤔😉😀
Thanks for making this series about data! Everything was well presented and nicely visualized. Definitely a helpful introduction to the topic.
This is also how you can dissect Corona truths if you're smart enough-- FOIA it.
I wonder if its 'smart' enough or 'determined' enough; slogging through online slush and fact-checking can be tedious and time consuming
@@DaBlondDude its more than fact checking its legitimate research. I researched CV from the beginning to determine routes of CV and concluded early on that it was based in genetics that the disease was bloodborne and as such the cure would require a genetic response. Now we have a genetic basis for a vaccine rather than one which relies on using a sample of the original disease. If this vaccine doesn't work the way proposed i would deduce that the disease is thus endemic and we would have no choice but to "live with it."
@@DaBlondDude FOIA goes beyond online fact checking which is essentially getting beyond fake news bs... FOIA gets to the nitty gritty of information and data readily available to the public that is generally not subject to opinion editorial
@@seratonyn Yep, that's where I infer that dogged determination becomes a factor in invoking FOIA, that seems like a LOT of detail to slog through. Fact-checking was just a simplified example though it would indeed be more complicated if the level and volume of details where high enough I think
Already final ?? Well, it was a nice series. Thanks !!!
such an impeccable teacher, thank you madam. I have watched all the videos of data literacy and now I want to learn statistics literacy as well as information literacy. This was really an eye-opening course and as a lifelong learner I am going to further my researching as well as verifying dataset.
Interesting introduction to the problems and solutions, enjoyed it and find it useful for my programming background, thanks from Russia
Jessica is excellent 👍🏾
Finally finished it.
Thank you Jessica Pucci mam!
Thank you AZU and crash course (cc)!
Congrats! Glad you enjoyed the content and if you haven't already, be sure to subscribe to our channel for new videos on a regular basis: ua-cam.com/users/asu.
This was a great series! Thank you!
Glad you found the content valuable! If you haven't already, feel free to subscribe to our channel at ua-cam.com/users/asu.
This is a great series. Thank you for making it!
Glad you're finding it valuable! 🙌 If you haven't already, you can add it to your UA-cam library by tapping or clicking the "Save" button here: ua-cam.com/play/PLNrrxHpJhC8m_ifiOWl1hquDmdgvcviOt.html. And feel free to subscribe to our channel at ua-cam.com/users/asu
I found this helpful, but boring as f***. And this is how entertainment was born.
this series was so informative. thank you so much for making this available for free.
Thanks for the positive feedback! Glad you're finding the content valuable.
No comments to make
You look like a scary robot
Power woman over here