In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.
Este curso forma parte de Programa Especializado - Data Visualization with Tableau
ofrecido por
Programa Especializado - Data Visualization with TableauUniversidad de California, DavisAcerca de este Curso
Resultados profesionales del estudiante
42%
35%
12%
Must be comfortable working with data and datasets.
Qué aprenderás
Install Tableau Public Software and create a visualization
Examine and navigate the Tableau Public workspace
Practice and connect to different data sources
Examine ways to define your project
Habilidades que obtendrás
Resultados profesionales del estudiante
42%
35%
12%
Must be comfortable working with data and datasets.
ofrecido por
Universidad de California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Programa - Qué aprenderás en este curso
Data Visualization and Its Importance
In this module, you will be able to define what data visualization is and discuss why it’s so important. You will listen to an interview with Dr. Ben Shneiderman, a modern pioneer of data visualization. You will be able to define interactive visualization and install Tableau Public so you can start to get acquainted with it for the next module. You will be able to make a simple viz so you can clearly see what skills are used in the process.
Getting to Know Tableau for Data Visualization
In this module, you will be able to identify and describe the various parts that make up the welcome screen, worksheet screen, and dashboard screen.
Let's Make a Viz!
In this module, you’ll be able to identify potential questions to answer with a given dataset. You will be able to make three different charts: a line chart, a tree map, and a bar chart. You will be able to create a dashboard with those charts, and be able to add some simple dashboard interactions.
Tableau Community Projects and Visualization Best Practices
In this module, you will be able to discuss where to get help. You will also be able to discuss where to go for inspiration and how to get involved in the Tableau community. You will be able to discuss and apply 5 data visualization best practice and participate in a #MakeoverMonday project.
Reseñas
Principales reseñas sobre FUNDAMENTALS OF VISUALIZATION WITH TABLEAU
Am glad I learnt a lot from this module, which I know will sharpen my skills for my chosen career path as a data scientist. Am hoping to learn more new skills to improve on my already existing skills.
Amazing course, amazing instructors and assignments. I really enjoyed working with Tableau. You may experience some confusion for some assignments but don't worry! Just use the discussion boards :)
It\ helps to understand all the basics regarding Tableau and also how to use it and install the tableau. It covered all the fundamental;s of visualization with tableau and the quiz were also good.
Nicely paced course to ease into Tableau. I am finding the course materials and the method of delivery very effective. I look forward to completing this course and enrolling into the next one.
Acerca de Programa especializado: Data Visualization with Tableau
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
- es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
- Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
Is financial aid available?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.
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