|Statistics Catalogs||These are websites that have cataloged many useful statistical resources:|
|Tufts Tutorials on Statistics||Resources created by Tufts University for learning statistics (Coming Soon)|
|Principals of Statistics||Resources for understanding various principals related to statistics. These resources are not directly linked to software, but are meant to teach concepts.
|Excel Resources||Learn how to use Excel:
|STATA Resources||Learn how to use Stata:
|R Resources|| Learn how to use R:
|SPSS Resources||Here are useful links to SPSS Tutorials. Unfortunately, SPSS does not have their own tutorials, so these link out to various other users’ sites.|
|Mathematica Resources||Wolfram Alpha, the company that produces the software Mathematica, has a number of useful tutorial videos on their website.
|NVivo Resources||NVivo has a number of tutorials, available on YouTube, which are up to date for version 10 (Windows) and version 11 (Mac).
|MATLAB Resources||To learn more or create a MathWorks account to download MATLAB software, please see the AccessTufts page. Once you have a MathWorks account, you can access online training materials.
|High-Performance Computing Resources|| In addition to the High-Performance computer available in the Data Lab, we also have a High-Performance Compute (HPC) cluster at Tufts. For more information on using the HPC at Tufts, please see here. To learn more about high-performance computing, see the resources below.
|Stats Tools & Calculators||
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Amazing #data from #Cambridge
New #hydrology functions in #ArcGIS Enterprise 10.6 bring the power of distributed computing to your raster analytics! Learn more on today's blog: https://t.co/JGtsFA5GECMap of the Week@MapOfTheWeek
If you've ever been stuck in Chicago traffic, I bet this awesome visualization brings back bad memories! #data
Friday drive times in Chicago https://t.co/3gV8bsrZiG
Check out all the incredible workshops offered this semester by the Data Lab, @TischLibrary and @TuftsTechnology! Register today at: https://t.co/GZSnaoYQHJ
This looks like a great initiative! #dataviz #gis #mapping #digitalhumanities #digitalart https://t.co/ZkbADRDVNg