Visualización de datos: Aprender haciendo

Data Campfirehelps people 'Learn Data Visualization by Doing', through workshops and hackathons. We are based in London and Santiago.

Data Campfire

Hello!
We appreciate your interest in our workshop. This time we only opened 12 places, but do not worry, we'll do more next year! We ask you to answer  <A HREF="https://docs.google.com/forms/d/18OGh7A14nOLfbMF45vMo_d8GgHnw4y_8tR6yHI-D5-c/edit" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">this survey</A>  in order to improve our future workshops, and thus design and offer you one that matches your profile :)
Thank you very much!
<HR>
 
They say that information is power, but sometimes we have such a large amount of data that we do not know how to process it and analyze it.
Do you want to extract, understand and communicate the most important information contained in your data, and thus make more informed decisions in your studies or work?
Would you like to learn the basics about Data Visualization and put them into practice immediately by applying them in your areas of interest?
Then this workshop is for you!
During this session we will present the main processes and tools for Data Visualization in an easy and fast way, without having to have previous knowledge in programming. You will learn by doing, in a friendly and welcoming environment, and interacting with your peers (maximum 12 people).
You will work with your laptop (so remember to bring yours!) To familiarize yourself with the tools and techniques necessary for Data Visualization, and you will work with others to learn how to communicate your data in the best way.
 
<H2>At the end of the workshop, you will be able to:</H2>
<UL>
<LI>
Generate research questions and understand your audience, clients, etc.
</LI>
<LI>
Familiarize yourself with the principles and methods of "Data Cleaning".
</LI>
<LI>
Describe the different types of data that exist, and how they determine the type of Data Visualization that can be created based on them.
</LI>
<LI>
Identify the best types of Data Visualization according to the different Visualization objectives.
</LI>
<LI>
Create your own Data Visualization that tells a story.
</LI>
<LI>
Use the following tools: Open Refine, RawGraphs, D3 Plus and Github for the exploration and visualization of data.
</LI>
</UL>
<H3> </H3>
 
<H2>Tools that we will use </H2>
Our goal is to use accessible, open and free tools where possible. During this workshop we will use the following:
 <A HREF="http://openrefine.org/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Open Refine</A> , <A HREF="http://rawgraphs.io/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">RawGraphs</A> , <A HREF="https://d3plus.org/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">D3 Plus</A> and <A HREF="https://github.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Github</A> .
 
<IMG SRC="https://lh3.googleusercontent.com/E7PXGj_IfQ_wgWTnNguJdhu6YDdBThk1ir9CiaQSIKWL9crSD6qVTYFD6-KdXGJYfsL7x2Bvwstsd08_XY_LE0ODFfAvrrrgFVG5l54QxLnmYpEVHGHBa1etZksJixL8G1VTz3Ny">
<H2> </H2>
<H2>Program:</H2>
10:30                        Arrival
10:45 - 11:00           Introduction 11:00 - 11:30           Presentation of the assistants (to know us) 11:30 - 12:15          Research questions | Meet your audience
12:15 - 12:25          Break
12:25 - 13:15          Data Exploration & Cleaning
13:15 - 14:00           Lunch Break
14:00 - 14:20           Sketching 14:20 - 15:40           Learning the different tools 15:40 - 16:40           Prototyping with tools
16:40 - 16:50           Break
16:50 - 17:50           Presentation and Feedback
17:50 - 18:00          Closing                   
<H3> </H3>
<H2>What you should bring</H2>
Your laptop and charger, since it is a "hands-on" workshop in which you will learn by doing. Once you sign up, we will send you instructions so you can get all the necessary resources and have them ready for the day of the workshop.
 
<H2>About us</H2>
<IMG SRC="https://lh3.googleusercontent.com/0VZUQka92FfjGtf5u8HpEgIVewhGgJUvE2ygKW7BX0HhXCTM3voUn4tZjdKQxP2CcEaPr_ZRV81sN1GHmrusZup8YpUMeVunc5PjsPijoU_J4m46CjFPuB8V3kRz_nF5y_mK9ijQ">
 
In <A HREF="http://www.datacampfire.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Data Campfire</A> we are dedicated to carry out workshops of Data Visualization and Hackathons. Our vision is that working with data can be accessible to everyone through interactive and collaborative learning. We are in the United Kingdom (UK) and in Chile.
Who will lead this workshop?
<A HREF="https://twitter.com/crishernandezco" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Cristian Hernández</A> , expert in spatial analysis and data visualization. Cristian works as a consultant for non-profit organizations and start-ups in Europe and Latin America. He is currently leading a Data Science citizen project on light pollution called "<A HREF="http://octalproject.org/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer"> Octal</A> ", which is part of the Stars4All program promoted by the European Union. He has trained people in Data Science and Data Visualization methods for the past two years.
 
FAQ If you do not have a PayPal account, you can pay your ticket to our #Workshop through Welcu. <A HREF="https://welcu.com/data-campfire/visualizacion-de-datos-aprender-haciendo" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://welcu.com/data-campfire/visualization-of-data-learning-making</A> 
 
Questions?  Write to team@datacampfire.com

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Visualización de datos: Aprender haciendo

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