Below is a list of awesome courses that dive into all different aspects of visual communication and storytelling.

Visual storytelling is a way for people to communicate their story using visuals and digital media such as video, graphics, and photography.

Visual Storytelling appeals to the emotions of the intended audience and it can humanize the business, giving the target market a way to relate to the business and their story.

1. The Art of Storytelling https://t.co/Js9kR35SeJ
2. Visual Thinking: Drawing Data to Communicate Ideas
https://t.co/YPiexr9RYJ

3. Find what fascinates you as you explore these visual storytelling classes.
https://t.co/yPGO3j30yy
4.  Awesome and affordable online art classes for artists of all skill levels! Take your art to the next level no matter where you are. https://t.co/k7xpp4sR4r

5. Digital Storytelling Courses
https://t.co/jjcKDnHYPa
6. Visual Storytelling | For Screenwriters & Novelists

https://t.co/FsZ7EFFVzo

7. Learn about storytelling with online courses and lessons!
https://t.co/mEbRcq6IF8
8. Digital Storytelling: Filmmaking for the Web
Combine theory and practice to tell powerful stories through film online.
https://t.co/L0GiABUibQ

9. Digital storytelling

https://t.co/vp3ikmU6uL

10. The Future of Storytelling - Online Course

https://t.co/4IQ0OgFBGz
As you learn more about Visual Storytelling for your personal brand and business, focus on the following learning outcomes:

✳Enumerate and defend the core relationships between research design & story-building, as well as define a valid causal inference & possible fallacies.
✳Generate hypotheses based on data, explain how the hypotheses could be tested, and show how to translate different experimental designs and data pools into stories
✳Create specific data visualizations that carry forward casual narratives, such as stacked bar charts, time series, and multidimensional causal chains, using effective and recognized visual and charting building blocks.
✳Become familiar with how to avoid common pitfalls in designing visual content with narrative goals.

✳Identify story elements that map onto the five narrative techniques learned and demonstrate through written compositions the ability to use them effectively.

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When the university starts sending out teaching evaluation reminders, I tell all my classes about bias in teaching evals, with links to the evidence. Here's a version of the email I send, in case anyone else wants to poach from it.

1/16


When I say "anyone": needless to say, the people who are benefitting from the bias (like me) are the ones who should helping to correct it. Men in math, this is your job! Of course, it should also be dealt with at the institutional level, not just ad hoc.
OK, on to my email:
2/16

"You may have received automated reminders about course evals this fall. I encourage you to fill the evals out. I'd be particularly grateful for written feedback about what worked for you in the class, what was difficult, & how you ultimately spent your time for this class.

3/16

However, I don't feel comfortable just sending you an email saying: "please take the time to evaluate me". I do think student evaluations of teachers can be valuable: I have made changes to my teaching style as a direct result of comments from student teaching evaluations.
4/16

But teaching evaluations have a weakness: they are not an unbiased estimator of teaching quality. There is strong evidence that teaching evals tend to favour men over women, and that teaching evals tend to favour white instructors over non-white instructors.
5/16
An appallingly tardy response to such an important element of reading - apologies. The growing recognition of fluency as the crucial developmental area for primary education is certainly encouraging helping us move away from the obsession with reading comprehension tests.


It is, as you suggest, a nuanced pedagogy with the tripartite algorithm of rate, accuracy and prosody at times conflating the landscape and often leading to an educational shrug of the shoulders, a convenient abdication of responsibility and a return to comprehension 'skills'.

Taking each element separately (but not hierarchically) may be helpful but always remembering that for fluency they occur simultaneously (not dissimilar to sentence structure, text structure and rhetoric in fluent writing).

Rate, or words-read-per-minute, is the easiest. Faster reading speeds are EVIDENCE of fluency development but attempting to 'teach' children(or anyone) to read faster is fallacious (Carver, 1985) and will result in processing deficit which in young readers will be catastrophic.

Reading rate is dependent upon eye-movements and cognitive processing development along with orthographic development (more on this later).
Time for some thoughts on schools given the revised SickKids document and the fact that ON decided to leave most schools closed. ON is not the only jurisdiction to do so, but important to note that many jurisdictions would not have done so -even with higher incidence rates.


As outlined in the tweet by @NishaOttawa yesterday, the situation is complex, and not a simple right or wrong https://t.co/DO0v3j9wzr. And no one needs to list all the potential risks and downsides of prolonged school closures.


On the other hand: while school closures do not directly protect our most vulnerable in long-term care at all, one cannot deny that any factor potentially increasing community transmission may have an indirect effect on the risk to these institutions, and on healthcare.

The question is: to what extend do schools contribute to transmission, and how to balance this against the risk of prolonged school closures. The leaked data from yesterday shows a mixed picture -schools are neither unicorns (ie COVID free) nor infernos.

Assuming this data is largely correct -while waiting for an official publication of the data, it shows first and foremost the known high case numbers at Thorncliff, while other schools had been doing very well -are safe- reiterating the impact of socioeconomics on the COVID risk.

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The entire discussion around Facebook’s disclosures of what happened in 2016 is very frustrating. No exec stopped any investigations, but there were a lot of heated discussions about what to publish and when.


In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.

In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.

This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.

In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.