Crear una matriz RACI con Hojas de cálculo Google (Coursera)

Crear una matriz RACI con Hojas de cálculo Google (Coursera)

Para el fin de este proyecto, usted podrá crear una matriz RACI con Hojas de cálculo Google. Ésta es una herramienta excelente para usar junta con un conocimiento básico de la gestión de proyectos para establecer los roles y responsabilidades de los miembros de equipo en cuanto a las tareas del proyecto. Vamos a hablar del significado de los roles de responsable, aprobador, consultado e informado en el ciclo de vida de proyecto. La matriz RACI es muy útil cuando usted tiene cargo de un proyecto o un producto y necesita identificar los roles de los empleados en el proyecto.

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

In this Free Guided Project, you will:

  • Crear una matriz RACI nueva con Hojas de cálculo Google.
  • Crear una matriz RACI para todas las fases del ciclo de vida del proyecto.
  • Formatear y personalizar su matriz RACI.
  • 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 matriz RACI nueva con Hojas de cálculo Google.
  2. Crear la matriz RACI de la fase de inicio en Hojas de cálculo Google.
  3. Crear la matriz RACI de la fase de planificación en Hojas de cálculo Google.
  4. Crear la matriz RACI de la fase de ejecución en Hojas de cálculo Google.
  5. Crear la matriz RACI de la fase de monitoreo y control en Hojas de cálculo Google.
  6. Crear la matriz RACI de la fase de cierre en Hojas de cálculo Google.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Predicción de Ventas Pronosticando Tendencias (Coursera) Coursera
Coursera Project Network

Predicción de Ventas Pronosticando Tendencias (Coursera)

En este curso basado en un proyecto y de 2 horas de duración, aprenderás a realizar pronósticos de tendencia y a entender cómo los pronósticos apoyan la toma de decisiones. Aprenderás a utilizar hojas de cálculo para visualizar y realizar un examen estadístico de datos analizando la pendiente de la línea de regresión y creando una gráfica de línea. Al final del curso entenderás cómo evaluar los modelos y cuándo utilizar técnicas de ingeniería para mejorar la exactitud de la previsión.

Jun 1st 2026
Self-Paced
Excel Basics for Data Analysis (Coursera) Coursera
IBM

Excel Basics for Data Analysis (Coursera)

This course is designed to provide you with basic working knowledge for using Excel spreadsheets for Data Analysis. It covers some of the first steps for working with spreadsheets and their usage in the process of analyzing data. It includes plenty of videos, demos, and examples for you to learn, followed by step-by-step instructions for you to apply and practice on a live spreadsheet.

Jun 1st 2026
5-12 Weeks
Data Visualization and Dashboards with Excel and Cognos (Coursera) Coursera
IBM

Data Visualization and Dashboards with Excel and Cognos (Coursera)

This course covers some of the first steps in the development of data visualizations using spreadsheets and dashboards. Begin the process of telling a story with your data by creating the many types of charts that are available in spreadsheets like Excel. Explore the different tools of a spreadsheet, such as the important pivot function and the ability to create dashboards and learn how each one has its own unique property to transform your data.

Jun 1st 2026
4 Weeks
Mastering Excel Essentials to Enhance Business Value (Coursera) Coursera
Illinois Tech

Mastering Excel Essentials to Enhance Business Value (Coursera)

This course is designed to cater to a diverse audience, particularly those with an interest in working in dynamic environments that place a strong emphasis on data-driven, quantitative analysis. Whether you are an experienced professional seeking to enhance your skills or someone looking to pivot into a cutting-edge industry, this course provides valuable insights and knowledge to thrive in today's data-centric and rapidly evolving landscape.

May 25th 2026
4 Weeks
Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera) Coursera
Delft University of Technology,Erasmus University Rotterdam

Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera)

Through this course learners will gain the tools to decide whether or not Excel is the right software to use. They will learn how to set up good input data, format correctly, and the importance of good documentation. Learners will gain the ability to discern between different functions, to understand the pitfalls and strengths of commonly used functions, and to apply correct functions to their excel models. Those that follow the course will also gain understanding of logical spreadsheet structure, graphs and reporting, and protection and hidden information in Excel, and users will learn how to apply these things to their own models.

May 25th 2026
4 Weeks
Everyday Excel, Part 3 (Projects) (Coursera) Coursera
University of Colorado Boulder

Everyday Excel, Part 3 (Projects) (Coursera)

"Everyday Excel, Part 3 (Projects)" is a continuation of "Everyday Excel, [Parts 1](https://www.mooc-list.com/course/everyday-excel-part-1-coursera) and [Parts 2](https://www.mooc-list.com/course/everyday-excel-part-2-coursera)". It is a capstone, projects-based course in which you will apply what you've learned previously to more complex, somewhat open-ended projects (open-ended with respect to the fact that they can be solved in multiple ways). Each learner must complete two easy projects (chosen from four), two intermediate projects (chosen from 4), and three main (more difficult) projects (chosen from 7).

Jun 1st 2026
5-12 Weeks
Prepare Data for Exploration (Coursera) Coursera
Google

Prepare Data for Exploration (Coursera)

This is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Jun 1st 2026
5-12 Weeks
Google Sheets (Coursera) Coursera
Google Cloud

Google Sheets (Coursera)

In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace. With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required. Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically. You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types.

Jun 1st 2026
1 Week
Data Analysis with Spreadsheets and SQL (Coursera) Coursera
Meta

Data Analysis with Spreadsheets and SQL (Coursera)

This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data.

May 25th 2026
5-12 Weeks