Fundamentos de la visualización de datos con Tableau (Coursera)

Offered by Universidad Austral,
Fundamentos de la visualización de datos con Tableau (Coursera)

En este curso descubrirás qué es la visualización de datos y cómo podemos usarla para ver y comprender mejor los datos. Con Tableau, examinaremos los conceptos fundamentales de visualización de datos y exploraremos la interfaz de Tableau, identificando y aplicando las diversas herramientas que Tableau tiene para ofrecer. Este curso está diseñado para el alumno que nunca ha usado antes Tableau, o que puede necesitar un repaso, o desea explorar Tableau con más profundidad.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

No se requieren antecedentes técnicos o analíticos previos. El curso te guiará a través de los pasos necesarios para crear tu primera visualización desde el principio en función del contexto de los datos.

What You Will Learn

  • Instalar Tableau Public Software
  • Crear una visualización
  • Navegar por el espacio de trabajo público de Tableau
  • Conectarse a diferentes fuentes de datos

Syllabus

WEEK 1
Visualización de datos y su importancia
En este módulo, veremos qué es la visualización de datos y por qué es tan importante. A su vez, definiremos la visualización interactiva e instalaremos Tableau Public para que puedas comenzar a familiarizarse con él en el próximo módulo.

WEEK 2
Descubriendo Tableau para la visualización de datos
En este módulo, identificaremos y describiremos las diversas partes que conforman la pantalla de bienvenida, las hojas de trabajo, dashboard y la pantalla de la fuente de datos. Además, importaremos archivos a Tableau

WEEK 3
Empezando a trabajar con Tableau
En este módulo, identificaremos posibles preguntas para responder con un conjunto de datos determinado. Realizaremos tres tipos de gráficos diferentes: un gráfico de líneas, un mapa de árbol y un gráfico de barras. Crearemos un dashboard con esos gráficos y agregaremos algunas interacciones simples

WEEK 4
Proyectos comunitarios de Tableau y mejores prácticas de visualización
En este módulo, descubriremos dónde obtener ayuda. Veremos dónde buscar inspiración y cómo participar en la comunidad de Tableau. Probaremos y aplicaremos las 5 mejores prácticas de visualización de datos en Tableau.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to the Tidyverse (Coursera) Coursera
Johns Hopkins University

Introduction to the Tidyverse (Coursera)

This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will cover the simple idea of "tidy data" and how this idea serves to organize data for analysis and modeling. We will also cover how non-tidy can be transformed to tidy data, the data science project life cycle, and the ecosystem of Tidyverse R packages that can be used to execute a data science project.

Oct 19th 2026
4 Weeks
Introduction to Business Analytics: Communicating with Data (Coursera) Coursera
University of Illinois at Urbana-Champaign

Introduction to Business Analytics: Communicating with Data (Coursera)

This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.

Oct 19th 2026
4 Weeks
Meaningful Marketing Insights (Coursera) Coursera
Emory University

Meaningful Marketing Insights (Coursera)

With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them.

Oct 19th 2026
5-12 Weeks
Empathy, Data, and Risk (Coursera) Coursera
University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Oct 26th 2026
4 Weeks
Data Visualization in Excel (Coursera) Coursera
Macquarie University

Data Visualization in Excel (Coursera)

In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. Excel has many rivals in this space, but it is still an excellent choice, particularly if it's where your data resides. It offers a wealth of tools for creating visualizations other than charts and the chart options available are constantly increasing and improving, so the newer versions now include waterfall charts, sunburst diagrams and even map charts. But what sets Excel apart is its flexibility, it gives us total creative control over our designs so if needed we could produce our own animated custom chart to tell the right story for our data.

Oct 19th 2026
5-12 Weeks
3D Data Visualization for Science Communication (Coursera) Coursera
University of Illinois at Urbana-Champaign

3D Data Visualization for Science Communication (Coursera)

This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.

Nov 2nd 2026
4 Weeks
Data Visualization and Communication with Tableau (Coursera) Coursera
Duke University

Data Visualization and Communication with Tableau (Coursera)

One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses.

Oct 19th 2026
5-12 Weeks
Python Data Visualization (Coursera) Coursera
Rice University

Python Data Visualization (Coursera)

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Oct 30th 2026
4 Weeks
Demand Analytics (Coursera) Coursera
Rutgers University

Demand Analytics (Coursera)

Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting.

Oct 19th 2026
4 Weeks
Data intelligence for businesses and managers (Coursera) Coursera
Institut Mines-Telecom

Data intelligence for businesses and managers (Coursera)

With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation.

Nov 2nd 2026
5-12 Weeks
Social Media Data Analytics (Coursera) Coursera
University of Washington

Social Media Data Analytics (Coursera)

Learner Outcomes: After taking this course, you will be able to: utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr; process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data; analyze unstructured data - primarily textual comments - for sentiments expressed in them; use different tools for collecting, analyzing, and exploring social media data for research and development purposes.

Oct 19th 2026
4 Weeks