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.
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中级
完成时间大约为17 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为17 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（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.
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此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master of Science in Accountancy (iMSA)。
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教学大纲 - 您将从这门课程中学到什么
完成时间为 6 小时
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.
完成时间为 6 小时
17 个视频 （总计 97 分钟）, 7 个阅读材料, 2 个测验
17 个视频
Meet Instructor Doug Laney1分钟
Lesson 1-1 Overview of Analytics5分钟
Lesson 1-2 Beyond Basic Business Intelligence6分钟
Lesson 1-3-1 The Analytics Continuum7分钟
Lesson 1-3-2 Analytic Output6分钟
Lecture 1-3-3 Basic Analytic Techniques2分钟
Lecture 1-4 Analytic Graphical Representation (Visualization)11分钟
Interview with Kevin Hartman14分钟
Lecture 1-5-1 Key Analytics Concepts to Know (Data Literacy)32
Lecture 1-5-2 Data, What Data? (Sources of Data)5分钟
Lecture 1-5-3 Where to Put the Data and How to Get it There?8分钟
Lecture 1-5-4 Analytic Methods, Techniques and Concepts6分钟
Lecture 1-5-5 Other Data Concepts4分钟
Lecture 1-6-1 Purpose-Built Analytic Solutions17
Lecture 1-6-2 Data-specific Analytic Solutions4分钟
Lecture 1-6-3 Business Function-Specific Analytics8分钟
7 个阅读材料
Syllabus20分钟
About the Discussion Forums10分钟
Glossary20分钟
Brand Descriptions20分钟
Update Your Profile10分钟
Module 1 Overview20分钟
Module 1 Readings2小时
2 个练习
Orientation Quiz30分钟
Module 1 Graded Quiz30分钟
完成时间为 3 小时
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.
完成时间为 3 小时
11 个视频 （总计 66 分钟）, 2 个阅读材料, 1 个测验
11 个视频
Lecture 2-1 Banking and Financial Institution Examples6分钟
Lecture 2-2 Insurance Examples3分钟
Lecture 2-3 Retail Examples7分钟
Lecture 2-4 Manufacturing, Consumer Package Goods Examples5分钟
Lecture 2-5 Energy Sector Examples7分钟
Lecture 2-6 Telecommunications Examples3分钟
Lecture 2-7 Government and the Public Sector Examples10分钟
Lecture 2-8 Healthcare Examples6分钟
Lecture 2-9 Sports and Entertainment Examples4分钟
Lecture 2-10 Other Examples7分钟
2 个阅读材料
Module 2 Overview20分钟
Module 2 Readings1 小时 30 分
1 个练习
Module 2 Graded Quiz30分钟
完成时间为 4 小时
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.
完成时间为 4 小时
11 个视频 （总计 74 分钟）, 2 个阅读材料, 2 个测验
11 个视频
Lecture 3-1 The Chief Information Officer (CIO)3分钟
Lecture 3-2 The Chief Data Officer (CDO)7分钟
Lecture 3-3 Chief Digital Officer2分钟
Lecture 3-4 The Chief Analytics Officer (CAO)3分钟
Lecture 3-5 The Data Scientist8分钟
Lecture 3-6 Data Scientist Soft Skills4分钟
Lecture 3-7 Other Analytics Related Roles9分钟
Lecture 3-8 The Analytics Center of Excellence4分钟
Lecture 3-9 Analytics Consulting and Crowdsourcing5分钟
Interview with Graham Waller23分钟
2 个阅读材料
Module 3 Overview20分钟
Module 3 Readings1小时
1 个练习
Module 3 Graded Quiz30分钟
完成时间为 3 小时
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.
完成时间为 3 小时
15 个视频 （总计 57 分钟）, 3 个阅读材料, 1 个测验
15 个视频
Lecture 4-1-2 Analytics Maturity Levels3分钟
Lecture 4-1-3 Key Maturity Disciplines3分钟
Lecture 4-2 Analytics Success Factors11分钟
Lecture 4-3-0 Analytics Trends and Futures41
Lecture 4-3-1 Analytics as a Corporate Strategy2分钟
Lecture 4-3-2 Data Literacy3分钟
Lecture 4-3-3 Valuing Information Assets4分钟
Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct4分钟
Lecture 4-3-5 Continuous Intelligence2分钟
Lecture 4-3-6 Reinventing, Digitalizing and Eliminating Business Offerings2分钟
Lecture 4-3-7 AI will Struggle to Scale in the Organization3分钟
Lecture 4-3-8 Most Analytic Insights Will Fail to Deliver Business Value3分钟
Lecture 4-3-9 Quantum Computing Will Start to Outperform Traditional Analytics Computing4分钟
Gies Online Programs3分钟
3 个阅读材料
Module 4 Overview20分钟
Module 4 Readings1小时
Congratulations!10分钟
1 个练习
Module 4 Graded Quiz30分钟
审阅
来自BUSINESS ANALYTICS EXECUTIVE OVERVIEW的热门评论
由 S 提供Jul 29, 2020
A good course that introduces us to the trends / organization roles etc. A few more real-life examples with the actual set up and organization of the data/analytics department would have helped more.
由 EC 提供Nov 1, 2020
I thoroughly enjoyed the course. It has given me sufficient insights to move forward to the data science and analytics fields. The real-world examples are on point for each lesson.
由 EM 提供Jun 19, 2019
Definetly a source for present day information and upcoming trends in analytics. This professor definetly can offer a new comers guide to data analytics.
由 S 提供May 15, 2020
knowledgeable and a lot of insight towards the role of analytics in the business world and in a nations economy and its different elements.
关于 Introduction to Business Analytics and Information Economics 专项课程
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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