This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
ofrecido por
Introduction to Business Analytics: Communicating with Data
Universidad de Illinois en Urbana-ChampaignAcerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
Data AnalysisAnalyticsBusiness AnalyticsHealth Care
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Illinois en 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.
Comienza a trabajar para obtener tu maestría
Este curso es parte del Master of Science in Accountancy (iMSA) completamente en línea de Universidad de Illinois en Urbana-Champaign.
Si eres aceptado en el programa completo, tus cursos cuentan para tu título.
Programa - Qué aprenderás en este curso
6 horas para completar
Module 1: Pictures You See with Your Brain
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.
6 horas para completar
7 videos (Total 47 minutos), 7 lecturas, 3 cuestionarios
7 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
7 lecturas
Syllabus30m
About the Discussion Forums10m
Glossary10m
Brand Descriptions10m
Update Your Profile10m
Module 1 Overview20m
Module 1 Readings1h 30m
2 ejercicios de práctica
Orientation Quiz30m
Module 1 Graded Quiz30m
3 horas para completar
Module 2: Working Fast and Thinking Slow
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.
3 horas para completar
5 videos (Total 35 minutos), 2 lecturas, 2 cuestionarios
5 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
2 lecturas
Module 2 Overview20m
Module 2 Readings7m
1 ejercicio de práctica
Module 2 Graded Quiz30m
3 horas para completar
Module 3: Finding Your Data Story
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.
3 horas para completar
5 videos (Total 29 minutos), 2 lecturas, 2 cuestionarios
5 videos
Lecture 3-1: Finding Patterns In Data9m
Lecture 3-2: Being Planful When Creating Dataviz5m
Lecture 3-3: Understanding The Components of Visual Form2m
Lecture 3-4: Creating Inviting Dataviz8m
2 lecturas
Module 3 Overview10m
Module 3 Readings30m
1 ejercicio de práctica
Module 3 Graded Quiz30m
3 horas para completar
Module 4: Getting Your Story Across
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.
3 horas para completar
5 videos (Total 32 minutos), 2 lecturas, 2 cuestionarios
5 videos
Lecture 4-1: Enriching Content Through Connection7m
Lecture 4-2: Bringing Sophistication To Charts6m
Lecture 4-3: Improving Chart Legibility6m
Lecture 4-4: Presenting Dataviz With Impact8m
2 lecturas
Module 4 Overview20m
Module 4 Readings1h
1 ejercicio de práctica
Module 4 Graded Quiz30m
Reseñas
Principales reseñas sobre INTRODUCTION TO BUSINESS ANALYTICS: COMMUNICATING WITH DATA
por GG15 de ago. de 2020
The course does justice to its title i.e "Intoduction" but there could have been more hand on experience other than assignments. But a good start for the people getting into Data Visualization.
por AK12 de jun. de 2020
This course is ok for those who are looking fora good understanding of the concept of data visualization. However, there is no hands-on training on any of the data visualization tools.
por RP3 de sep. de 2019
It was great to give me a better understanding about the way how we can structure and systematically deliver a great data visualization. It will definitely improve my communication.
por RJ10 de may. de 2020
It is an amazing course for a beginner who has just ventured into the world of analytics. Not only were the lectures amazingly explained, the assignments also were interesting.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
- es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
- Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si compro el Certificado?
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.
Is financial aid available?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el vínculo de Ayuda económica que está debajo del botón 'Inscribirse' a la izquierda. Se te pedirá que completes una solicitud y recibirás una notificación cuando se apruebe. Obtén más información.
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