Why are data types so important to understand?
Because they guide your thinking before and after your experiment. Analysis is so much easier with this context!
about.dataclassroom.com/blog/understanding-data-...
#DataScience #TeachingStats #DataLiteracy #experimentaldesign
Ease of use allows students to focus their attention on the actual analysis...
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Nice to get this feedback all the way from Switzerland!
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What gets our team up in the mornings!
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Data Literacy includes knowing how to format data before analysis. A Melt function helps you convert data tables in a "wide" format to a more analyzable "tidy" or "long" format.
https://about.dataclassroom.com/blog/melting-your-data
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Glad to hear it!
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Impressive amount of improvement!
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OK that's pretty impressive...well done!
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We can help with migrating an existing course to use DataClassroom. Just ask!
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Let's get everything we can from those limited time and energy budgets!
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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.
about.dataclassroom.com/blog/excel-in-the-classr...
#DataScience #TeachingStats #DataLiteracy
What we're here for: improving the study experience for teachers and students!
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Easy adoption of a new tool is vital - get to work and see those results right away!
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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.
Read on: about.dataclassroom.com/blog/saving-lives-with-d...
#DataScience #TeachingStats #DataLiteracy
Great to see the DataClassroom U tool so well-received at colleges and universities.
https://u.dataclassroom.com
userguide.dataclassroom.com/docs/dataclassroom-u
#DataScience #TeachingStats #DataLiteracy
Some tips on how to get the graph you want, and (hopefully!) useful insights on data formatting including the evergreen topic of Tidy Data.
Read more: about.dataclassroom.com/blog/multiple-line-graph...
#DataScience #TeachingStats #DataLiteracy
We're enjoying seeing students liking using our tools and getting more out of their studies!
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Our Simulator includes a really great way to play with and develop an intuitive understanding of what an R-squared (r2) value represents.
about.dataclassroom.com/blog/playing-with-r-squa...
#DataScience #TeachingStats #DataLiteracy
Great feedback from a first-time user of DataClassroom U!
https://u.dataclassroom.com/
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This is why we do what we do!
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What does random data look like in real life?
Read More: about.dataclassroom.com/blog/understanding-rando...
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It's really motivating that we can help those that are finding graphing and stats a challenge.
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We agree!
Students (bless them) don't have unlimited focus and energy budgets.... let them spend them wisely...
#DataScience #TeachingStats #DataLiteracy
Guess what? DataClassroom has built-in function for applying a mathematical transform to a whole column at once.
https://about.dataclassroom.com/blog/transforming-data
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Stats are always the tricky, whichever course you're teaching...
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The DataClassroom Interactive T-test gives a visual, intuitive understanding of what the math in the test is actually doing. Get a real feel for how the math works!
about.dataclassroom.com/blog/demystifying-the-t-...
#DataScience #TeachingStats #DataLiteracy #experimentaldesign
Anxiety isn't fun. Let's get rid of it and have some fun with data!
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Using a DataClassroom simulation you can decide on your experimental variables, think more deeply about what to measure, and try out visualizations - all before you go to the lab!
about.dataclassroom.com/blog/plan-an-experiment-...
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We always love to hear stories like these!
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Great to see students actively selecting DataClassroom as their tool for nailing the IA...
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