EdX

Visualización de Datos y Storytelling (edX)

Visualización de Datos y Storytelling (edX)

Aprende en este curso en línea que es la visualización de datos, sus usos; los elementos que la conforman y la forma de poder utilizarla para el apoyo en la toma de las mejores decisiones para las empresas basadas en el análisis de datos. Digamos que necesitas comprender big data; miles o incluso millones de filas de datos, y tienes poco tiempo para hacerlo. los datos pueden provenir de tu equipo, en cuyo caso tal vez ya estés familiarizado con lo que estás midiendo y de los resultados que se esperan. O puede provenir de otro equipo, o tal vez de varios equipos a la vez, y estar completamente familiarizado.

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

De cualquier manera, la razón por la que lo estás viendo es porque tienes que tomar una decisión lo mas rápido posible y sería de gran ayuda que los datos te informen como tomarla (inteligencia de negocios); pues esa decisión podrá afectar positiva o negativamente a un cliente, a un producto o a toda la organización. En este curso online, conocerás una parte importante de la ciencia de datos o Data Science; la visualización de los datos y las herramientas que puedes usar para aplicarlos.
Debido a la forma en que el cerebro humano procesa la información, usar tablas o gráficos para visualizar grandes cantidades de datos complejos es mas fácil que analizar hojas de cálculo o informes. La visualización de datos es una forma rápida y fácil de transmitir conceptos de manera universal, y es posible el poder experimentar con diferentes escenarios haciendo pequeños ajustes.
La visualización de datos es la presentación de datos en un formato gráfico.
Permite a los tomadores de decisiones ver el análisis presentados visualmente, para que puedan comprender conceptos dificiles o identificar nuevos patrones. La visualización de datos revela informacion inadvertida, especiamente en grandes conjuntos de datos (big data); da respuestas mas rápido; y ayuda a entender mas fácilmente la relación causa-efecto.
This course is part of the Ciencia de Datos Professional Certificate.

What you'll learn
Los objetivos de este curso online son los siguientes:

  • Comprender que es la visualización de datos.
  • Conocer la importancia que tiene la visualización de datos en la ciencia de datos.
  • Conocer los elementos que componen una visualización de datos y que herramientas existen para aplicarla.

Syllabus

Ciencia de Datos; Visualización de Datos; Datos Categóricos o Multivariados; Teoría del color; Principios de Gestalt

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

Related Courses

Data Science: Probability (edX) EdX
HarvardX,Harvard University

Data Science: Probability (edX)

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008. In this course, you will learn valuable concepts in probability theory. The motivation for this course is the circumstances surrounding the financial crisis of 2007–2008. Part of what caused this financial crisis was that the risk of some securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability.

Self Paced
Self-Paced
Big Data and Education (edX) EdX
University of Pennsylvania,PennX

Big Data and Education (edX)

Learn the methods and strategies for using large-scale educational data to improve education and make discoveries about learning. Online and software-based learning tools have been used increasingly in education. This movement has resulted in an explosion of data, which can now be used to improve educational effectiveness and support basic research on learning.

Self Paced
Self-Paced
Learning Analytics Fundamentals (edX) EdX
University of Texas at Arlington,UTArlingtonX

Learning Analytics Fundamentals (edX)

Learn about the growing field of learning analytics and how to analyze basic data sets to generate insights. The demand for data science and learning science skills has continued to increase as classrooms, labs, and organizations look to optimize their data and improve learning environments for students and employees. The UTArlingtonX Learning Analytics courses will give you the opportunity to gain invaluable knowledge and expertise in this growing field.

No sessions available
4 Weeks
Knowledge Management and Big Data in Business (edX) EdX
The Hong Kong Polytechnic University,HKPolyUx

Knowledge Management and Big Data in Business (edX)

Learn why and how knowledge management and Big Data are vital to the new business era. The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence.

Self Paced
Self-Paced
Wiretaps to Big Data: Privacy and Surveillance in the Age of Interconnection (edX) EdX
Cornell University

Wiretaps to Big Data: Privacy and Surveillance in the Age of Interconnection (edX)

Explore the privacy issues of an interconnected world. How does cellular technology enable massive surveillance? Do users have rights against surveillance? How does surveillance affect how we use cellular and other technologies? How does it affect our democratic institutions? Do you know that the metadata collected by a cellular network speaks volumes about its users? In this course you will explore all of these questions while investigating related issues in WiFi and Internet surveillance.

No sessions available
5-12 Weeks
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
Analytics in Python (edX) EdX
Columbia University,ColumbiaX

Analytics in Python (edX)

Learn the fundamental of programming in Python and develop the ability to analyze data and make data-driven decisions. Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data. The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

This course is archived
5-12 Weeks
Programming for Data Science (edX) EdX
University of Adelaide,AdelaideX

Programming for Data Science (edX)

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

Self Paced
Self-Paced
Data Science: R Basics (edX) EdX
HarvardX,Harvard University

Data Science: R Basics (edX)

Build a foundation in R and learn how to wrangle, analyze, and visualize data. This course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

Self Paced
Self-Paced
Biostatistics for Big Data Applications (edX) EdX
University of Texas Medical Branch

Biostatistics for Big Data Applications (edX)

Learn data analysis basics for working with biomedical big data with practical hands-on examples using R. This course provides a broad foundation of statistical terms and concepts as well as an introduction to the R statistical software package. The topics covered are fundamental components of biostatistical methods used in both omics and population health research.

No sessions Available
5-12 Weeks