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

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.

Oct 12th 2026
4 Weeks
Data Processing Using Python (Coursera) Coursera
Nanjing University

Data Processing Using Python (Coursera)

This course is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level.

Oct 19th 2026
5-12 Weeks
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera) Coursera
The Chinese University of Hong Kong

Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera)

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,

Oct 12th 2026
5-12 Weeks
Advanced Reproducibility in Cancer Informatics (Coursera) Coursera
Johns Hopkins University

Advanced Reproducibility in Cancer Informatics (Coursera)

This course introduces tools that help enhance reproducibility and replicability in the context of cancer informatics. It uses hands-on exercises to demonstrate in practical terms how to get acquainted with these tools but is by no means meant to be a comprehensive dive into these tools. The course introduces tools and their concepts such as git and GitHub, code review, Docker, and GitHub actions.

Oct 12th 2026
5-12 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
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
Matlab and Simulink Basics (Coursera) Coursera
Starweaver

Matlab and Simulink Basics (Coursera)

Matlab and Simulink Basics is a meticulously crafted course offering a comprehensive introduction to Matlab's programming environment and Simulink's modeling capabilities. This course is tailored for individuals keen on bolstering their skills in these indispensable tools for engineering, science, and research domains. From laying down foundational concepts to delving into practical applications, participants will embark on a journey that hones their abilities to manipulate data, design models, and interpret results with Matlab and Simulink.

Oct 12th 2026
4 Weeks