About this Course
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100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 12시간 필요

권장: 4-6 hours/week...

영어

자막: 영어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 12시간 필요

권장: 4-6 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 6시간 필요

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.

...
7 videos (Total 47 min), 7 readings, 3 quizzes
7개의 동영상
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
7개의 읽기 자료
Syllabus30m
About the Discussion Forums10m
Glossary10m
Brand Descriptions10m
Update Your Profile10m
Module 1 Overview20m
Module 1 Readings1시 30분
2개 연습문제
Orientation Quiz10m
Module 1 Graded Quiz30m
2
완료하는 데 4시간 필요

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.

...
5 videos (Total 35 min), 2 readings, 2 quizzes
5개의 동영상
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
2개의 읽기 자료
Module 2 Overview20m
Module 2 Readings7m
1개 연습문제
Module 2 Graded Quiz30m
3
완료하는 데 4시간 필요

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.

...
5 videos (Total 29 min), 2 readings, 2 quizzes
5개의 동영상
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
2개의 읽기 자료
Module 3 Overview20m
Module 3 Readings30m
1개 연습문제
Module 3 Graded Quiz30m
4
완료하는 데 4시간 필요

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.

...
5 videos (Total 35 min), 2 readings, 2 quizzes
5개의 동영상
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
2개의 읽기 자료
Module 4 Overview20m
Module 4 Readings1h
1개 연습문제
Module 4 Graded Quiz30m
4.8
12개의 리뷰Chevron Right

Introduction to Business Analytics: Communicating with Data 의 최상위 리뷰

대학: BMJun 9th 2019

Great course. I learned more than I expected and I have greater insight into the methodology for creating better visuals from data.

대학: ABDec 11th 2018

Amazing learning from professor Kevin. Thank you so much for all the insight.

강사

Avatar

Kevin Hartman

Visiting Professor & Head of Analytics at Google
College of Business

Start working towards your Master's degree

이 강좌은(는) 일리노이대학교 어버너-섐페인캠퍼스의 100% 온라인 Master of Business Administration (iMBA) 중 일부입니다. 전체 프로그램을 수료하면 귀하의 강좌가 학위 취득에 반영됩니다.

일리노이대학교 어버너-섐페인캠퍼스 정보

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. ...

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