Acerca de este Curso
4.3
3 calificaciones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 11 horas para completar

Sugerido: 4-6 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)...
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 11 horas para completar

Sugerido: 4-6 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)...

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
6 horas para completar

Module 1

This module, will help you earn the foundation needed to become a good data communicator. After completion of this module, you will know the history of data visualizaiton, understand today’s dataviz tools, make connections with visuals, and evaluate the effectiveness of data visualizations....
Reading
7 videos (Total: 47 min), 7 readings, 3 quizzes
Video7 videos
Welcome to Introduction to Business Analytics: Communicating with Data9m
Module 1 Overview1m
Lecture 1-1: Studying The History of Dataviz9m
Lecture 1-2: Understanding Today's Dataviz Tools6m
Lecture 1-3: Making Connections With Visuals8m
Lecture 1-4: Evaluating The Effectiveness Of Dataviz8m
Reading7 lecturas
Syllabus30m
About the Discussion Forums10m
Glossary10m
Brand Descriptions10m
Update Your Profile10m
Module 1 Overview20m
Module 1 Readings30m
Quiz2 ejercicios de práctica
Orientation Quiz10m
Module 1 Graded Quiz30m
Semana
2
Horas para completar
4 horas para completar

Module 2

This module will walk you through various methods to access data. The data could be either publicly available or company internal. The module also reviews why it is important for analysts to define clear objectives for their analysis. You will also be introduced to frameworks that help guide digital marketing analysis and their importance to data visualization....
Reading
5 videos (Total: 35 min), 2 readings, 2 quizzes
Video5 videos
Lecture 2-1: Understanding The Growth Of Data6m
Lecture 2-2: Evaluating Methods Of Data Access8m
Lecture 2-3: Focusing Your Communication Journey8m
Lecture 2-4: Planning Your Data Story9m
Reading2 lecturas
Module 2 Overview20m
Module 2 Readings7m
Quiz1 ejercicio de práctica
Module 2 Graded Quiz30m
Semana
3
Horas para completar
4 horas para completar

Module 3

In this module, you will learn an approach to finding patterns in data through visualization. You will see how charts can be used to communicate messages that can be conceptual or data driven and declarative or exploratory. Next, we will learn how to use different charting techniques to reveal data patterns. Visual aids play a major role in identifying ideas and, as a result, we will learn how to match the appropriate visual technique to the ideas we hope to expose. Next, we will explore analysis tools. RStudio is one of the most commonly used tools, and we will explore its visual capabilities. Finally, we will discuss a framework that will help analysts effectively plan for data collection, analysis, and, ultimately, visualization. ...
Reading
5 videos (Total: 29 min), 2 readings, 2 quizzes
Video5 videos
Lecture 3-1: Finding Patterns In Data9m
Lecture 3-2: Being Planful When Creating Dataviz5m
Lecture 3-3: Understanding The Components of Visual Form3m
Lecture 3-4: Creating Inviting Dataviz8m
Reading2 lecturas
Module 3 Overview20m
Module 3 Readings30m
Quiz1 ejercicio de práctica
Module 3 Graded Quiz30m
Semana
4
Horas para completar
4 horas para completar

Module 4

This module explores telling stories, through data, that connect emotionally with your audience. It will also review examples and figures that make the concept easy to understand. You will learn the major do’s and don’ts of creating dataviz and rules that lead to the clear depiction of your findings. This unit specifically focuses on Dona Wong’s guidelines for good data visualization and charts. The last leg of Module 4 teaches the three tests that help you improve your visualization. In the final step of dataviz execution, you will learn the McCandless Method for presenting visualizations. This five-step process produces the most effective communication of the graphics to your audience....
Reading
5 videos (Total: 35 min), 2 readings, 2 quizzes
Video5 videos
Lecture 4-1: Enriching Content Through Connection8m
Lecture 4-2: Bringing Sophistication To Charts8m
Lecture 4-3: Improving Chart Legibility8m
Lecture 4-4: Presenting Dataviz With Impact8m
Reading2 lecturas
Module 4 Overview20m
Module 4 Readingsm
Quiz1 ejercicio de práctica
Module 4 Graded Quiz30m

Instructor

Avatar

Kevin Hartman

Visiting Professor & Head of Analytics at Google
College of Business
Graduation Cap

Start working towards your Master's degree

This curso is part of the 100% online Master of Business Administration (iMBA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Acerca de University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

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