UIUC - Business Analytics Executive Overview 

Course Introduction

Meet Instructor Doug Laney

Lesson 1-1 Overview of Analytics

Lesson 1-2 Beyond Basic Business Intelligence

Lesson 1-3-1 The Analytics Continuum

Lesson 1-3-2 Analytic Output

Lecture 1-3-3 Basic Analytic Techniques

Lecture 1-4 Analytic Graphical Representation (Visualization)

Interview with Kevin Hartman

Lecture 1-5-1 Key Analytics Concepts to Know (Data Literacy)

Lecture 1-5-2 Data, What Data? (Sources of Data)

Lecture 1-5-3 Where to Put the Data and How to Get it There?

Lecture 1-5-4 Analytic Methods, Techniques and Concepts

Lecture 1-5-5 Other Data Concepts

Lecture 1-6-1 Purpose-Built Analytic Solutions

Lecture 1-6-2 Data-specific Analytic Solutions

Lecture 1-6-3 Business Function-Specific Analytics

Syllabus

About the Discussion Forums

Glossary

Brand Descriptions

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Module 1 Overview

Module 1 Readings

Orientation Quiz

Module 1 Graded Quiz

Module 2 Overview

Lecture 2-1 Banking and Financial Institution Examples

Lecture 2-2 Insurance Examples

Lecture 2-3 Retail Examples

Lecture 2-4 Manufacturing, Consumer Package Goods Examples

Lecture 2-5 Energy Sector Examples

Lecture 2-6 Telecommunications Examples

Lecture 2-7 Government and the Public Sector Examples

Lecture 2-8 Healthcare Examples

Lecture 2-9 Sports and Entertainment Examples

Lecture 2-10 Other Examples

Module 2 Overview

Module 2 Readings

Module 2 Graded Quiz

Module 3 Overview

Lecture 3-1 The Chief Information Officer (CIO)

Lecture 3-2 The Chief Data Officer (CDO)

Lecture 3-3 Chief Digital Officer

Lecture 3-4 The Chief Analytics Officer (CAO)

Lecture 3-5 The Data Scientist

Lecture 3-6 Data Scientist Soft Skills

Lecture 3-7 Other Analytics Related Roles

Lecture 3-8 The Analytics Center of Excellence

Lecture 3-9 Analytics Consulting and Crowdsourcing

Interview with Graham Waller

Module 3 Overview

Module 3 Readings

Module 3 Graded Quiz

Lecture 4-1-1 Analytics Maturity

Lecture 4-1-2 Analytics Maturity Levels

Lecture 4-1-3 Key Maturity Disciplines

Lecture 4-2 Analytics Success Factors

Lecture 4-3-0 Analytics Trends and Futures

Lecture 4-3-1 Analytics as a Corporate Strategy

Lecture 4-3-2 Data Literacy

Lecture 4-3-3 Valuing Information Assets

Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct

Lecture 4-3-5 Continuous Intelligence

Lecture 4-3-6 Reinventing, Digitalizing and Eliminating Business Offerings

Lecture 4-3-7 AI will Struggle to Scale in the Organization

Lecture 4-3-8 Most Analytic Insights Will Fail to Deliver Business Value

Lecture 4-3-9 Quantum Computing Will Start to Outperform Traditional Analytics Computing

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Module 4 Overview

Module 4 Readings

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Module 4 Graded Quiz