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
課程信息
19,028 次近期查看
學習Course的學生是
- Controllers
- Process Analysts
- Business Analysts
- Directors of Operations
- Program Managers
您將獲得的技能
Data AnalysisAnalyticsBusiness AnalyticsHealth Care
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 6 小時
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.
7 個視頻 （總計 47 分鐘）, 7 個閱讀材料, 3 個測驗
7 個視頻
Welcome to Introduction to Business Analytics: Communicating with Data9分鐘
Module 1 Overview1分鐘
Lecture 1-1: Studying The History of Dataviz9分鐘
Lecture 1-2: Understanding Today's Dataviz Tools6分鐘
Lecture 1-3: Making Connections With Visuals8分鐘
Lecture 1-4: Evaluating The Effectiveness Of Dataviz8分鐘
7 個閱讀材料
Syllabus30分鐘
About the Discussion Forums10分鐘
Glossary10分鐘
Brand Descriptions10分鐘
Update Your Profile10分鐘
Module 1 Overview20分鐘
Module 1 Readings1 小時 30 分
2 個練習
Orientation Quiz10分鐘
Module 1 Graded Quiz30分鐘
週
2完成時間為 4 小時
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.
5 個視頻 （總計 35 分鐘）, 2 個閱讀材料, 2 個測驗
5 個視頻
Lecture 2-1: Understanding The Growth Of Data6分鐘
Lecture 2-2: Evaluating Methods Of Data Access8分鐘
Lecture 2-3: Focusing Your Communication Journey8分鐘
Lecture 2-4: Planning Your Data Story9分鐘
2 個閱讀材料
Module 2 Overview20分鐘
Module 2 Readings7分鐘
1 個練習
Module 2 Graded Quiz30分鐘
週
3完成時間為 4 小時
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.
5 個視頻 （總計 29 分鐘）, 2 個閱讀材料, 2 個測驗
5 個視頻
Lecture 3-1: Finding Patterns In Data9分鐘
Lecture 3-2: Being Planful When Creating Dataviz5分鐘
Lecture 3-3: Understanding The Components of Visual Form3分鐘
Lecture 3-4: Creating Inviting Dataviz8分鐘
2 個閱讀材料
Module 3 Overview20分鐘
Module 3 Readings30分鐘
1 個練習
Module 3 Graded Quiz30分鐘
週
4完成時間為 4 小時
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.
5 個視頻 （總計 35 分鐘）, 2 個閱讀材料, 2 個測驗
5 個視頻
Lecture 4-1: Enriching Content Through Connection8分鐘
Lecture 4-2: Bringing Sophistication To Charts8分鐘
Lecture 4-3: Improving Chart Legibility8分鐘
Lecture 4-4: Presenting Dataviz With Impact8分鐘
2 個閱讀材料
Module 4 Overview20分鐘
Module 4 Readings1小時
1 個練習
Module 4 Graded Quiz30分鐘
4.8
16 個審閱來自Introduction to Business Analytics: Communicating with Data 的熱門評論
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.
Amazing course - my only issue is that I think it was previously part of a 6 series specialization and I can't locate the other courses.
講師
Kevin Hartman
Visiting Professor & Head of Analytics at GoogleCollege of Business
立即開始攻讀碩士學位
此 課程 隸屬於 伊利诺伊大学香槟分校 提供的 100% 在線 Master of Science in Accountancy (iMSA)。如果您被錄取參加全部課程，您的課程將計入您的學位學習進程。
關於 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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