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

Use Tableau for your Data Science Workflow (Coursera) Coursera
Edureka

Use Tableau for your Data Science Workflow (Coursera)

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement.

Aug 10th 2026
1 Week
Introduction to Data Visualization in Qlik Sense (Coursera) Coursera
Coursera Instructor Network

Introduction to Data Visualization in Qlik Sense (Coursera)

Data visualization is especially important today with the increased amount and velocity of data that companies capture daily, and a system is needed to ingest and make sense of all this data for improved decision-making. This course provides a comprehensive understanding of data visualization within the context of business intelligence.

Aug 17th 2026
1 Week
Data Visualization with Tableau Project (Coursera) Coursera
University of California, Davis

Data Visualization with Tableau Project (Coursera)

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way.

Aug 10th 2026
5-12 Weeks
Business Intelligence Concepts, Tools, and Applications (Coursera) Coursera
University of Colorado System

Business Intelligence Concepts, Tools, and Applications (Coursera)

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Aug 3rd 2026
5-12 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.

Aug 10th 2026
5-12 Weeks
Data Ingestion, Exploration & Visualization in Qlik Sense (Coursera) Coursera
Coursera Instructor Network

Data Ingestion, Exploration & Visualization in Qlik Sense (Coursera)

This course is an intermediate-level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key prerequisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization.

Aug 17th 2026
1 Week
Interprofessional Healthcare Informatics (Coursera) Coursera
University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Aug 17th 2026
5-12 Weeks
From Excel to Power BI (Coursera) Coursera
Knowledge Accelerators

From Excel to Power BI (Coursera)

Are you using Excel to manage, analyze, and visualize your data? Would you like to do more? Perhaps you've considered Power BI as an alternative, but have been intimidated by the idea of working in an advanced environment. The fact is, many of the same tools and mechanisms exist across both these Microsoft products. This means Excel users are actually uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data.

Aug 10th 2026
1 Week
Statistics for Data Science with Python (Coursera) Coursera
IBM

Statistics for Data Science with Python (Coursera)

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis. You will take a hands-on approach to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts.

Aug 3rd 2026
5-12 Weeks
Advanced Models for Decision Making (Coursera) Coursera
University of Minnesota

Advanced Models for Decision Making (Coursera)

Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to formulate a solution. This course is designed to connect data and models to real world decision-making scenarios in manufacturing, supply chain, finance, human resource management, etc. In particular, we understand how linear optimization - a prescriptive analytics method - can be used to formulate decision problems and provide data-based optimal solutions.

Aug 3rd 2026
4 Weeks
Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more.

Aug 17th 2026
4 Weeks