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.
Introduction to Business Analytics: Communicating with Data
伊利诺伊大学香槟分校課程信息
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100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為15 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
Data AnalysisAnalyticsBusiness AnalyticsHealth Care
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為15 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
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.
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 Management。
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教學大綱 - 您將從這門課程中學到什麼
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.
完成時間為 6 小時
8 個視頻 （總計 47 分鐘）, 8 個閱讀材料, 3 個測驗
完成時間為 3 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.
完成時間為 3 小時
5 個視頻 （總計 35 分鐘）, 2 個閱讀材料, 2 個測驗
完成時間為 3 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.
完成時間為 3 小時
5 個視頻 （總計 28 分鐘）, 2 個閱讀材料, 2 個測驗
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.
完成時間為 4 小時
6 個視頻 （總計 38 分鐘）, 4 個閱讀材料, 2 個測驗
審閱
來自INTRODUCTION TO BUSINESS ANALYTICS: COMMUNICATING WITH DATA 的熱門評論
由 GG 提供2020年8月15日
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.
由 AK 提供2020年6月12日
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.
由 RP 提供2019年9月3日
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.
由 CC 提供2021年4月23日
I loved the course it was great, although in the last honor track assignment I think it should be revised as it doesn't have anything to do with what was seen throughout the course
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