Visualización de Datos y Tableros con Excel y Cognos (Coursera)

Offered by IBM,
Visualización de Datos y Tableros con Excel y Cognos (Coursera)

Este curso cubre algunos de los primeros pasos en el desarrollo de visualizaciones de datos utilizando hojas de cálculo y tableros. Comienza el proceso de contar una historia con tus datos creando los muchos tipos de gráficos que están disponibles en hojas de cálculo como Excel. Explore las diferentes herramientas de una hoja de cálculo, como la importante función de pivote y la capacidad de crear cuadros de mando, y aprenda cómo cada uno tiene su propia propiedad única para transformar sus datos. Continúe adquiriendo una valiosa experiencia familiarizándose con la popular herramienta analítica - IBM Cognos Analytics - para crear cuadros de mando interactivos.

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Al completar este curso, tendrá una comprensión básica del uso de las hojas de cálculo como herramienta de visualización de datos. Adquirirá la capacidad de crear eficazmente visualizaciones de datos, como gráficos o tablas, y comenzará a ver cómo desempeñan un papel fundamental en la comunicación de sus resultados de análisis de datos. Todo esto se puede lograr aprendiendo los fundamentos del análisis de datos con Excel y IBM Cognos Analytics, sin tener que escribir ningún código. Al final de este curso será capaz de describir las herramientas de cuadros de mando comunes utilizadas por un analista de datos, diseñar y crear un cuadro de mando en una plataforma de nube, y comenzar a elevar su nivel de confianza en la creación de visualizaciones de datos de nivel intermedio.
A lo largo de este curso encontrará numerosos laboratorios prácticos y un proyecto final. Con cada laboratorio, gane experiencia práctica en la creación de gráficos básicos y avanzados, y luego continúe a través del curso y comience a crear cuadros de mando con hojas de cálculo y IBM Cognos Analytics. A continuación, terminará este curso creando un conjunto de visualizaciones de datos con IBM Cognos Analytics y creando un cuadro de mando interactivo que podrá compartir con sus compañeros, comunidades profesionales o posibles empleadores.
Este curso no requiere ningún análisis de datos previo, ni experiencia en informática. Todo lo que necesita para empezar es un conocimiento básico de informática, matemáticas de nivel secundario, acceso a un navegador web moderno como Chrome o Firefox, la capacidad de crear una cuenta de Microsoft para acceder a Excel para la Web, y una comprensión básica de las hojas de cálculo de Excel.
Completing this course will count towards your learning in any of the following programs:

Syllabus

WEEK 1
Visualización de datos usando hojas de cálculo
En este módulo, se le presentarán los fundamentos de los gráficos y las funciones de Excel que se utilizan para crear gráficos básicos y visualizaciones de gráficos dinámicos. Al aprender a manipular estas funciones y crear visualizaciones, comenzará a comprender el importante papel que desempeñan los gráficos en la narración de una historia basada en datos.

WEEK 2
Creación de visualizaciones y tableros con hojas de cálculo
En este módulo, aprenderá a crear gráficos y visualizaciones avanzadas y aprenderá los fundamentos de los cuadros de mando y cómo crear un cuadro de mando simple utilizando una hoja de cálculo.

WEEK 3
Creando visualizaciones y cuadros de mando con Cognos Analytics
En este módulo, se le presentará otra solución de tablero llamada Cognos Analytics. Después de registrarse en Cognos Analytics, explorará las capacidades de la plataforma creando visualizaciones, construyendo un sencillo cuadro de mando y descubriendo sus características avanzadas.

WEEK 4
Proyecto final
¡Felicidades! Ya ha completado los módulos de este curso. Esta semana, completarán la tarea final que será calificada por sus compañeros. En la primera parte de la tarea final, usarán los datos de muestra proporcionados para crear algunas visualizaciones usando Excel para la web. En la segunda parte de la tarea final, crearán algunas visualizaciones y las agregarán a un tablero usando Cognos Analytics.

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