Recoger datos con SurveyMonkey (Coursera)

Recoger datos con SurveyMonkey (Coursera)

En este proyecto, vamos a explorar el proceso para crear una encuesta y las maneras en que SurveyMonkey simplifica el recogimiento de datos. Vamos a aprender cómo se organiza el programa y como funciona para que Usted se sienta cómodo y seguro de si mismo en crear su propia encuesta.

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

SurveyMonkey es un programa de encuestas basado en la nube que permite a sus usuarios crear encuestas en línea, gratis. Con SurveyMonkey, se puede recoger las opiniones y sugerencias de sus empleados, clientes, accionistas, etc. Después de crear una encuesta con SurveyMonkey, es fácil enviársela a quien quiera o compartirla por sus medios sociales. Con las plantillas de pregunta proporcionadas por SurveyMonkey, es fácil y rápido crear una encuesta detallada y profesional. Sus elementos fáciles de usar y opciones detalladas permiten que ambos los profesionales de mercadeo y los principiantes puedan crear la encuesta que quieren.

In this Free Guided Project, you will:

  • Crear una cuenta de SurveyMonkey y crear una encuesta usando la opción comenzar de una plantilla.
  • Publicar una encuesta con SurveyMonkey.
  • Analizar los resultados de la encuesta en SurveyMonkey.
  • Showcase this hands-on experience in an interview

Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Crear una cuenta de SurveyMonkey
  2. Crear una encuesta usando la opción comenzar de una plantilla
  3. Publicar una encuesta con SurveyMonkey
  4. Desarrollar una encuesta de opinión con SurveyMonkey
  5. Analizar los resultados de la encuesta en SurveyMonkey
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 PySpark (Coursera) Coursera
Edureka

Introduction to PySpark (Coursera)

Welcome to Introduction to PySpark, a short course strategically crafted to empower you with the skills needed to assess the concepts of Big Data Management and efficiently perform data analysis using PySpark. Throughout this short course, you will acquire the expertise to perform data processing with PySpark, enabling you to efficiently handle large-scale datasets, conduct advanced analytics, and derive valuable insights from diverse data sources.

Oct 12th 2026
1 Week
Pre-MBA Statistics (Coursera) Coursera
Indian Institute of Management Ahmedabad (IIMA)

Pre-MBA Statistics (Coursera)

Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use.

Oct 12th 2026
5-12 Weeks
Infonomics I: Business Information Economics and Data Monetization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics I: Business Information Economics and Data Monetization (Coursera)

Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.

Oct 12th 2026
4 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Oct 12th 2026
4 Weeks
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Oct 12th 2026
4 Weeks