Introducing Interactive Data Courses on Tuva

At Tuva, our mission is to make data and statistics accessible and usable for data novices and learners around the world. We believe that the best way to learn data and statistics skills and concepts is by actually getting your hands dirty with the data; exploring, analyzing, visualizing, and interpreting it in a variety of ways and across different contexts.

To realize this vision, we have built Tuva – a powerful learning platform that brings together:

1) Curated datasets from authentic data sources

2) Dynamic, easy-to-use, yet powerful data analysis and visualization tools, and

3) Inquiry-based, highly engaging lessons and tasks.

Educators and students in over thousands of schools and hundreds of higher-ed institutions in over 70 countries use Tuva in a variety of different ways in their classrooms.   

Today, we are announcing another significant addition to Tuva. We are excited to collaborate with some of the most reputable organizations, institutions, and instructors in the world to bring to you hands-on, interactive data literacy courses on Tuva.

These courses will empower people working across education, healthcare, international development, and other sectors to learn and master foundational data and statistics concepts and skills that will be relevant to their work.

We are actively working on the interactive course design, the content, and the appropriate credentials for the first set of courses on Tuva. Subscribe to receive updates as we launch courses on Tuva. 

New Feature: Plotting Multiple Numerical Attributes on the Same Axis

When it comes to exploring data, how one organizes the dataset is incredibly important. Typically, each column should represent an attribute and each row should represent one observation. There are certain best practices one should follow when organizing a dataset, but we will leave that for another post.

There are times when the data is organized a bit differently, one needs to be able to plot multiple attributes on the same axis in order to meaningfully explore and analyze the data. Today, we are launching this functionality on Tuva.

Once you drag and drop an attribute on the x- or y-axis, you will be able to drag another attribute and drop it on the small rectangular box that appears below the attribute on that same axis. Here is a brief video showcasing this new feature in an example:

What do you think about this feature? Take it for a spin on the Climate Change or World Populations dataset, and post your comments, ideas, or feedback in the discussion thread.   

Tuva Labs is now just Tuva.

Today, we are announcing a brand refresh of Tuva. As part of the refresh, we are officially dropping the “Labs” from our brand. 

Tuva Labs is now just Tuva.

Data novices, educators, and learners from around the world are joining the Tuva community everyday to find curated, open datasets; use our dynamic, easy-to-use data analysis and visualization tools; and learn our interactive data-base activities and tasks.

As part of this refresh, we also have a new logo!

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Let us know your thoughts on the new logo in the comments, and enter for a chance to win a brand new Tuva t-shirt or coffee mug!   

Our mission is to build Tuva into the premiere data literacy platform, making data and statistics accessible and usable for data novices and learners around the world.

We are continuing to make really good progress to bring our vision to fruition, and are excited for the next stage of our journey and growth.

Teacher of the Week – Dave Ferris

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David Ferris
AP Statistics, Precalculus, Finite Math
Noblesville High School
Noblesville, IN

“Tuvalabs is a refreshingly high-quality and engaging web-based tool for my students (who all have iPads). The datasets are interesting, and the analysis tools are easy to learn. I love the ability to create my own activities and have students complete them side-by-side on the same screen with the analysis tools. Tuvalabs is the perfect tool for introducing students to the excitement of discovering the stories that data can reveal.”

Teacher of the Week – Jodie Deinhammer

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Jodie Deinhammer
High School Science, Anatomy, and Physiology Teacher
Coppell High School
Coppell, TX

“Over the last few years, I have searched for ways to incorporate data analysis into my senior level Anatomy and Physiology course.  Stumbling across Tuva was one of my favorite finds of the year.  

This year, my classes were able to analyze the use of vaccines in society and support their claims of efficacy with evidence obtained from Tuva.  They could clearly see the correlation between vaccination rate and disease.  They also discovered an outlier in the data which generated engaging class discussions and interesting perspective on disease, society, and income.  

Students need to be able to manipulate data, extrapolate information, and make informed decisions in order to develop evidence based conclusions in science. TuvaLab gives educators the ability to provide this to our learners with its user friendly interface and customization.”