There’s something great about a "new to you" dataset. No agenda, no set-in-stone storyline for the data.
It's fun to approach a new dataset, wondering what questions are waiting to be asked and answered, and what those answers may hold.
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Using camera trap data in the Peruvian Amazon to examine mammal diversity in an Indigenous conservation area. What are the trends in mammal diversity at the different mineral licks?
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Excel is great for some things. But for learning stats and graphing, students get a much better experience with DataClassroom. Its feature set supports them to college and beyond.
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#DataScience #TeachingStats #DataLiteracy
“line graph” and “line of best fit” (or regression line) are sometimes mistakenly used by students in an interchangeable way.
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Being clear as you define these very different graph types will help them to understand what the data are saying.
In this Digital Data Nugget, students answer the scientific question: Do woodlice have a preference for the dark soil or the light leaves, or neither?
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What we're here for: improving the study experience for teachers and students!
#DataScience #TeachingStats #DataLiteracy
Three ways data visualization is imperative for analysis: discover the whole story by excluding data, use graphs to steer toward the right questions, and clarify the story by altering the look.
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Easy adoption of a new tool is vital - get to work and see those results right away!
#DataScience #TeachingStats #DataLiteracy
Our heroes! Find out about how some scientists are saving lives by analyzing data.
There are so many people using healthcare, even slightly better decisions can have a valuable impact.
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#DataScience #TeachingStats #DataLiteracy
Great to see the DataClassroom U tool so well-received at colleges and universities.
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