<center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1642531213/image2_erhzp7.png" /></center> 

DataCamp is proud to announce our partnership with Tableau to make world-class data science software and education widely available to the teachers and students of the world. Every teacher with both a DataCamp for Classrooms account and a Tableau for Teaching license <a target="_blank" href="https://forms.gle/QLzKuEpFDRTnPkU26">can apply</a> to gain free access to DataCamp’s interactive Tableau courses for themselves and their students. We see this as an important opportunity to bring STEM education fully into the 21st century with a partner just as dedicated as us to democratizing data science.
Data is being consumed at an astronomical rate but are all students given the same opportunity to see and understand data? Do instructors have the resources easily and readily accessible to prepare the next generation of students? The answer, sadly, is a resounding no.
“Tableau for Teaching is excited about the partnership with DataCamp,” says Jessica Lyons, Senior Manager of <a target="_blank" href="https://www.tableau.com/academic/teaching">Tableau for Teaching</a>. “The mission of arming students and instructors with the resources needed to create a data-literate world aligned perfectly with DataCamp’s goals."
The feeling is mutual. At DataCamp, we see Tableau as an ideal platform to get high school and college students excited about data. No other data visualization tool caters to novices and experts alike as deftly as Tableau does. Teachers armed with these resources will empower their students to better understand and analyze the data in their lives, preparing them for tomorrow’s data-driven industries. With just some basic knowledge of Excel/Spreadsheets and a good data set, young people can create powerful and inviting visualizations of the data that matters to them most.
<h2>How do teachers apply?</h2>
It’s a simple three-step process for qualified teachers to apply for Tableau access on DataCamp:
<ol>
<li><a target="_blank" href="https://www.datacamp.com/groups/classrooms">Apply and get approved for DataCamp for Classrooms</a></li>
<li><a target="_blank" href="https://www.tableau.com/academic/teaching#form">Apply and get approved for Tableau for Teaching</a></li>
<li>Fill out the <a target="_blank" href="https://forms.gle/QLzKuEpFDRTnPkU26">official DataCamp + Tableau application form</a></li>
</ol>
DataCamp and Tableau representatives will review all applicants within a week of the submission date to verify their status in both programs. Once verified, you&#39;ll receive a confirmation email once Tableau training has been added to your DataCamp group. All the users you invite into that DataCamp for Classrooms account will get immediate, free access to our Tableau courses.
<h2>What do my students and I get with DataCamp + Tableau?</h2>
DataCamp for Classrooms offers unlimited Professional licenses for you and your students to learn on DataCamp. That means access to over 350 courses in R, Python, SQL, Git, Scala, Spreadsheets, Excel, as well all of our projects, practice modules, the mobile app, and more. And teachers get a group dashboard with all the functionality they need to run a successful classroom: the ability to create teams, give assignments, and monitor progress. College/university teachers from around the world and high school teachers in the US and UK are eligible to apply.
By also becoming a recipient of Tableau for Teaching and <a target="_blank" href="https://forms.gle/QLzKuEpFDRTnPkU26">completing this form</a>, teachers will gain access to our six outstanding courses on Tableau, <a target="_blank" href="https://app.datacamp.com/learn/courses/introduction-to-tableau">including Introduction to Tableau</a>, <a target="_blank" href="https://app.datacamp.com/learn/courses/connecting-data-in-tableau">Connecting Data in Tableau</a>, and <a target="_blank" href="https://app.datacamp.com/learn/courses/analyzing-data-in-tableau">Analyzing Data in Tableau</a>—everything you and your students need to go from novices to experts. Just like all our other courses, they can run entirely in-browser (no additional software required), or users can download the datasets and run our exercises on their desktop-based Tableau clients. Previously reserved for Premium and Enterprise DataCamp customers, these in-demand courses will completely change how educators around the world teach students Tableau.
If you’re a teacher, apply to these revolutionary edtech programs today (students, please refer this offer to your STEM teachers)! This is the only way to learn to become a Tableau whiz at your own pace for free.
To apply for free Tableau courses through DataCamp for Classrooms, <a target="_blank" href="https://forms.gle/QLzKuEpFDRTnPkU26">click here</a>.
To apply for a free DataCamp for Classrooms account, <a target="_blank" href="https://www.datacamp.com/groups/classrooms">click here</a>.
To apply for a free Tableau for Teaching license, <a target="_blank" href="https://www.tableau.com/academic/teaching#form">click here</a>.

https://www.datacamp.com/community/blog/datacamp-and-tableau-partner-to-teach-young-people-data-visualization

DataCamp has partnered with Tableau for Teaching to provide world-class courses on Tableau to teachers and students around the globe for free. Find out how you can help improve your students’ data literacy with DataCamp for Classrooms.

DataCamp and Tableau Partner to Teach Young People Data Visualization

<center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center> 
Data storytelling is the structured approach for communicating data insights using narrative elements and exploratory visuals. Those who desire to turn data into insights and decisions stand to benefit from mastering the art of telling data stories.
As opposed to presenting statistics, data stories are <a target="_blank" href="https://www.forbes.com/sites/brentdykes/2016/03/31/data-storytelling-the-essential-data-science-skill-everyone-needs/?sh=68c9c7fb52ad">more engaging, memorable, and persuasive</a>. In a study that tested two versions of a brochure for the Save the Children charity organization, donors given the infographic version <a target="_blank" href="https://www.forbes.com/sites/brentdykes/2016/03/31/data-storytelling-the-essential-data-science-skill-everyone-needs/?sh=27b7692052ad">donated about 50% less</a> than those given the story-based version. In a separate study, researchers found that people are <a target="_blank" href="https://www.fastcompany.com/1680581/why-storytelling-is-the-ultimate-weapon">less skeptical when told a story</a> but are more nitpicky when presented with statistics alone.
Data stories are made with three crucial ingredients—<a target="_blank" href="https://www.datacamp.com/community/blog/telling-effective-data-stories-with-data-narrative-and-visuals">data, visual, and narrative</a>. To tell a good data story, one needs to select the correct data, use a narrative structure that guides the flow of the data story, and illustrate the data story with compelling visuals.
 <center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1640196505/image6_z1wrzu.png" />Figure 1: Narrative, visuals and data are data stories that drive changes</center>

<h2 id="the-case-study-of-semmelweis">The Case Study of Semmelweis</h2>
History is fraught with cautionary tales of poor data visualizations that fail to drive actions in ways that data stories can. In his book, Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals, Brent Dykes quoted the story of Dr. Ignaz Semmelweis as one such incident.
Having discovered that hand-washing could save lives, Semmelweis failed to convince the skeptical medical community of his findings. In hindsight, data storytelling principles could have helped him deliver his insights better and save thousands of lives as a result.
Dubbed the “father of hand hygiene”, Semmelweis was a Hungarian physician. In 1844, Semmelweis worked as an assistant at an obstetrics clinic where many women suffered childbed fever – a fever caused by an infection post-delivery.
During his stint at the clinic, Semmelweis was intrigued by a peculiar trend. The mortality rates of clinics operated by physicians and medical students had significantly higher mortality rates from childbed fever (9.9%) as compared to those by midwives (3.9%) (Figure 2). Unlike the physicians and medical students, midwives did not perform any autopsies before delivery procedures. This led him to conclude that materials from the dead bodies increased the risk of death in these women.
 <center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1640196505/image4_v9i84v.png" />Figure 2. Clinics operated by doctors who did not wash their hands caused more deaths.</center> 

Knowing this, he proposed the practice of washing one’s hand which resulted in dramatically lower death rates. Yet, such findings did not help him convince his supervisor, Professor Klein, of his theory.
Semmelweis would spend the rest of his life as a strong proponent of hand-washing to no avail. In 1861, Semmelweis published his work The Etiology, Concept, and Prophylaxis of Childbed Fever to the medical community which responded critically against his doctrine. In 1865, Semmelweis died at a mental hospital, long before the germ theory was widely accepted.
 <center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1640196505/image7_djjinj.png" />Figure 3. The Etiology, Concept, and Prophylaxis of Childbed Fever have hundreds of pages and no charts</center>

<h2 id="why-did-he-fail-to-convince-the-community-">Why did he fail to convince the community?</h2>
Brent used this case study to demonstrate that the three components of data storytelling – data, narrative, and visuals – are indispensable in driving change through data stories. In this case study, Semmelweis’ data fell on deaf ears as they were neither accompanied by a compelling narrative structure nor illustrated with visuals. As a result, Semmelweis’s data failed to convince his audience though they were accurate, valuable, and actionable.
In retrospect, Semmelweis could have conveyed his message more convincingly with data stories. Here is an example by Brent Dykes of a line chart that combines data, narrative, and visuals to tell a compelling data story.
 <center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1640196506/image10_adshaf.png" />Figure 4. A data story by Dykes that better illustrates Semmelweis’ point.</center> 

Semmelweis’ approach directly contrasted with that of Dr. John Snow, a U.K. physician who studied the 1854 Broad Street Cholera outbreak and hypothesized that germ-contaminated water caused cholera. Having Demonstrated that death rates in the vicinity of a water pump are high, Snow was able to persuade the local council into disabling the pump.
 <center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1640196505/image3_wgu5yq.png" />FIgure 5: John Snow’s data visualization</center>

<h2 id="conclusion">Conclusion</h2>
Unlike Semmelweis, data storytellers today have access to a wealth of tools for creating engaging data stories, ranging from <a target="_blank" href="https://www.datacamp.com/tracks/tableau-fundamentals">business intelligence tools like Tableau</a> to programming languages like <a target="_blank" href="https://www.datacamp.com/tracks/data-visualization-with-python">python</a>. It is only wise for modern data practitioners to master the art and science of data storytelling for driving actions.
 <center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center>

https://www.datacamp.com/community/blog/the-case-study-of-semmelweis

Effective data storytelling allows practitioners to drive action with their insights. In a recent webinar, Brent Dykes explored how data storytelling could have helped Ignaz Semmelweis, a pioneer of germ theory, gain adoption of his insights—and save lives in the process.

In a recent webinar, Brent Dykes explored how data storytelling could have helped Ignaz Semmelweis, a pioneer of germ theory, gain adoption of his insights—and save lives in the process.

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DataCamp and Tableau Partner to Teach Young People Data Visualization

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