Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans.
課程信息
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中級
完成時間大約為17 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）
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17 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 Accountancy (iMSA)。
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授課大綱 - 您將從這門課程中學到什麼
完成時間為 6 小時
Course Overview & Module 1 Analytics Beyond the Spreadsheet
This first module exposes and explains key data and analytics concepts from Big Data to data warehousing to natural language query, and everything in-between. Next we will explore various analytic techniques, types of visualizations, and types of analytics solutions. The course will continue with identifying and learning about key data and analytics roles and organization structures, including chief data and analytics officers, data scientists, and analytics centers of excellence. Alternatives to direct hiring, such as outsourcing and crowdsourcing, will also be covered. Finally, the course will scrutinize analytic trends and futures.
完成時間為 6 小時
18 個視頻 （總計 98 分鐘）, 8 個閱讀材料, 2 個測驗
完成時間為 3 小時
Module 2 Industry and Business Function Analytics
Over the course of the module, you will also see how data and analytics in each of these organizations can be used in similar ways, in similar business functions. Accordingly, you will appreciate that to be truly data-driven, you need not only look to examples in your own industry, but, also learn and apply analytics concepts from organizations in other fields.
完成時間為 3 小時
11 個視頻 （總計 66 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 4 小時
Module 3 Staffing and Organizing for Analytics
In this module you will learn a bunch of crucial analytical roles and the emergence of new roles in organizations from the C-suite down to various analyst roles. You will take a brief look at the job descriptions and the responsibilities. You will also put yourself in either a job seeker’s or a recruiter’s shoes to see what kind of skill sets are the most important and which position fits you the best. For example, it will introduce you to the three core skills of the data scientist and the crucial soft skills required to be a successful data scientist.
完成時間為 4 小時
11 個視頻 （總計 74 分鐘）, 2 個閱讀材料, 2 個測驗
完成時間為 3 小時
Module 4 Analytics Success Today and Tomorrow
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 3 小時
15 個視頻 （總計 57 分鐘）, 4 個閱讀材料, 1 個測驗
審閱
- 5 stars71.37%
- 4 stars22.58%
- 3 stars4.03%
- 2 stars0.80%
- 1 star1.20%
來自BUSINESS ANALYTICS EXECUTIVE OVERVIEW的熱門評論
由 JM 提供2022年6月25日
Liked everything except the peer-reviewed assignment. Four reviews is too many. It took several weeks to get submissions to review after I had finished everthing else.
由 VS 提供2020年7月23日
It is really easy to learn and helped me to understand the subject very well Thank you\n\nBest Regards\n\nVandana
由 JK 提供2019年5月1日
Great introduction course for Business Analytics for any level of experienced professionals or students.
由 JU 提供2020年1月21日
Overall a good introduction course into how data is becoming an important addition and will continue to grow in making business decisions.
關於 Introduction to Business Analytics and Information Economics 專項課程
This specialization targets learners who seek to understand the opportunities that data and analytics present for their organization and those interested in the value of and implications for data as an asset to their organization. Individuals who manage data and make decisions about how data can be leveraged in their organization will find this specialization of particular value.
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