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.
Business Analytics Executive Overview
伊利诺伊大学香槟分校
課程信息
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中級
完成時間大約為13 小時
建議：4-6 hours/week
英語（English）
字幕：英語（English）
教學大綱 - 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
17 個視頻 （總計 97 分鐘）, 7 個閱讀材料, 2 個測驗
17 個視頻
Meet Instructor Doug Laney1分鐘
Lesson 1-1 Overview of Analytics5分鐘
Lesson 1-2 Beyond Basic Business Intelligence6分鐘
Lesson 1-3-1 The Analytics Continuum7分鐘
Lesson 1-3-2 Analytic Output6分鐘
Lecture 1-3-3 Basic Analytic Techniques2分鐘
Lecture 1-4 Analytic Graphical Representation (Visualization)11分鐘
Interview with Kevin Hartman14分鐘
Lecture 1-5-1 Key Analytics Concepts to Know (Data Literacy)32
Lecture 1-5-2 Data, What Data? (Sources of Data)5分鐘
Lecture 1-5-3 Where to Put the Data and How to Get it There?8分鐘
Lecture 1-5-4 Analytic Methods, Techniques and Concepts6分鐘
Lecture 1-5-5 Other Data Concepts4分鐘
Lecture 1-6-1 Purpose-Built Analytic Solutions17
Lecture 1-6-2 Data-specific Analytic Solutions4分鐘
Lecture 1-6-3 Business Function-Specific Analytics8分鐘
7 個閱讀材料
Syllabus20分鐘
About the Discussion Forums10分鐘
Glossary20分鐘
Brand Descriptions20分鐘
Update Your Profile10分鐘
Module 1 Overview20分鐘
Module 1 Readings2小時
2 個練習
Orientation Quiz10分鐘
Module 1 Graded Quiz30分鐘
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
11 個視頻
Lecture 2-1 Banking and Financial Institution Examples6分鐘
Lecture 2-2 Insurance Examples3分鐘
Lecture 2-3 Retail Examples7分鐘
Lecture 2-4 Manufacturing, Consumer Package Goods Examples5分鐘
Lecture 2-5 Energy Sector Examples7分鐘
Lecture 2-6 Telecommunications Examples3分鐘
Lecture 2-7 Government and the Public Sector Examples10分鐘
Lecture 2-8 Healthcare Examples6分鐘
Lecture 2-9 Sports and Entertainment Examples4分鐘
Lecture 2-10 Other Examples7分鐘
2 個閱讀材料
Module 2 Overview20分鐘
Module 2 Readings1 小時 30 分
1 個練習
Module 2 Graded Quiz30分鐘
完成時間為 5 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 5 小時
11 個視頻 （總計 74 分鐘）, 2 個閱讀材料, 2 個測驗
11 個視頻
Lecture 3-1 The Chief Information Officer (CIO)3分鐘
Lecture 3-2 The Chief Data Officer (CDO)7分鐘
Lecture 3-3 Chief Digital Officer2分鐘
Lecture 3-4 The Chief Analytics Officer (CAO)3分鐘
Lecture 3-5 The Data Scientist8分鐘
Lecture 3-6 Data Scientist Soft Skills4分鐘
Lecture 3-7 Other Analytics Related Roles9分鐘
Lecture 3-8 The Analytics Center of Excellence4分鐘
Lecture 3-9 Analytics Consulting and Crowdsourcing5分鐘
Interview with Graham Waller23分鐘
2 個閱讀材料
Module 3 Overview20分鐘
Module 3 Readings1小時
1 個練習
Module 3 Graded Quiz30分鐘
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
14 個視頻 （總計 53 分鐘）, 2 個閱讀材料, 1 個測驗
14 個視頻
Lecture 4-1-2 Analytics Maturity Levels3分鐘
Lecture 4-1-3 Key Maturity Disciplines3分鐘
Lecture 4-2 Analytics Success Factors11分鐘
Lecture 4-3-0 Analytics Trends and Futures41
Lecture 4-3-1 Analytics as a Corporate Strategy2分鐘
Lecture 4-3-2 Data Literacy3分鐘
Lecture 4-3-3 Valuing Information Assets4分鐘
Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct4分鐘
Lecture 4-3-5 Continuous Intelligence2分鐘
Lecture 4-3-6 Reinventing, Digitalizing and Eliminating Business Offerings2分鐘
Lecture 4-3-7 AI will Struggle to Scale in the Organization3分鐘
Lecture 4-3-8 Most Analytic Insights Will Fail to Deliver Business Value3分鐘
Lecture 4-3-9 Quantum Computing Will Start to Outperform Traditional Analytics Computing4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
審閱
4.5
來自BUSINESS ANALYTICS EXECUTIVE OVERVIEW的熱門評論
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 JU 提供Jan 21, 2020
Overall a good introduction course into how data is becoming an important addition and will continue to grow in making business decisions.
由 TP 提供Nov 17, 2019
The contents are simple to follow and understand. I have gained lot of knowledge from this course. It is worth your time and money.
由 XZ 提供Oct 7, 2019
This class is like an overview of the whole industry about data scientist, not technical at all, but a glimpse of the landscape.
由 DT 提供May 27, 2019
A very helpful overview of business analytics; the past, the present and what could be expected in the future.
由 IK 提供Aug 8, 2019
Excellent course, very practical and gives students new ideas by highlighting what other companies are doing.
由 JK 提供May 1, 2019
Great introduction course for Business Analytics for any level of experienced professionals or students.
由 RY 提供May 26, 2019
over all is great, but i personal like the experience sharing part, thank you.
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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