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.
伊利诺伊大学香槟分校
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 6 小时
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 个视频 （总计 47 分钟）, 7 个阅读材料, 3 个测验
7 个视频
Welcome to Introduction to Business Analytics: Communicating with Data9分钟
Module 1 Overview1分钟
Lecture 1-1: Studying The History of Dataviz9分钟
Lecture 1-2: Understanding Today's Dataviz Tools6分钟
Lecture 1-3: Making Connections With Visuals8分钟
Lecture 1-4: Evaluating The Effectiveness Of Dataviz8分钟
7 个阅读材料
Syllabus30分钟
About the Discussion Forums10分钟
Glossary10分钟
Brand Descriptions10分钟
Update Your Profile10分钟
Module 1 Overview20分钟
Module 1 Readings30分钟
2 个练习
Orientation Quiz10分钟
Module 1 Graded Quiz30分钟
周
2完成时间为 4 小时
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 个视频 （总计 35 分钟）, 2 个阅读材料, 2 个测验
5 个视频
Lecture 2-1: Understanding The Growth Of Data6分钟
Lecture 2-2: Evaluating Methods Of Data Access8分钟
Lecture 2-3: Focusing Your Communication Journey8分钟
Lecture 2-4: Planning Your Data Story9分钟
2 个阅读材料
Module 2 Overview20分钟
Module 2 Readings7分钟
1 个练习
Module 2 Graded Quiz30分钟
周
3完成时间为 4 小时
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 个视频 （总计 29 分钟）, 2 个阅读材料, 2 个测验
5 个视频
Lecture 3-1: Finding Patterns In Data9分钟
Lecture 3-2: Being Planful When Creating Dataviz5分钟
Lecture 3-3: Understanding The Components of Visual Form3分钟
Lecture 3-4: Creating Inviting Dataviz8分钟
2 个阅读材料
Module 3 Overview20分钟
Module 3 Readings30分钟
1 个练习
Module 3 Graded Quiz30分钟
周
4完成时间为 4 小时
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 个视频 （总计 35 分钟）, 2 个阅读材料, 2 个测验
5 个视频
Lecture 4-1: Enriching Content Through Connection8分钟
Lecture 4-2: Bringing Sophistication To Charts8分钟
Lecture 4-3: Improving Chart Legibility8分钟
Lecture 4-4: Presenting Dataviz With Impact8分钟
2 个阅读材料
Module 4 Overview20分钟
Module 4 Readings
1 个练习
Module 4 Graded Quiz30分钟
4.8
1 个审阅热门审阅
创建者 AB•Dec 11th 2018
Amazing learning from professor Kevin. Thank you so much for all the insight.
讲师
Kevin Hartman
Visiting Professor & Head of Analytics at GoogleCollege of Business
立即开始攻读硕士学位
此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master of Business Administration (iMBA)。如果您被录取参加全部课程，您的课程将计入您的学位学习进程。
关于 伊利诺伊大学香槟分校
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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