課程信息

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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. 

This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, the class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. And the course will wrap up with a discussion of analytics trends and futures.

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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）

100% 在線

立即開始，按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

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

週

1

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.

17 個視頻（總計 97 分鐘）, 7 個閱讀材料, 2 個測驗

17 個視頻

Course Introduction39

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

週

2

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.

11 個視頻（總計 66 分鐘）, 2 個閱讀材料, 1 個測驗

11 個視頻

Module 2 Overview2分鐘

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

週

3

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.

11 個視頻（總計 74 分鐘）, 2 個閱讀材料, 2 個測驗

11 個視頻

Module 3 Overview28

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

週

4

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.

14 個視頻（總計 53 分鐘）, 2 個閱讀材料, 1 個測驗

14 個視頻

Lecture 4-1-1 Analytics Maturity2分鐘

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

講師

Douglas B. Laney

Visiting Professor and Gartner VP & Distinguished Analyst

Accountancy and Business Administration

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