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Business Analytics Executive Overview
  • Level Professional
  • Duration 17 hours
  • Course by University of Illinois Urbana-Champaign
  • Offered by

About

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.

Modules

About the Course and Your Classmates

    • 3 Videos
    • 7 Readings
    • 1 Quiz
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3 Videos

  • Course Introduction
  • Meet Instructor Doug Laney
  • Learn on Your Terms

7 Readings

  • Syllabus
  • About the Discussion Forums
  • Glossary
  • Brand Descriptions
  • Update Your Profile
  • Online Education at Gies College of Business
  • Congratulations on completing the course!

1 Quiz

  • Orientation Quiz

Module 1 Overview

    • 2 Readings
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2 Readings

  • Module 1 Overview
  • Module 1 Readings

Module 1 Lectures

    • 15 Videos
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15 Videos

  • 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

Module 1 Graded Activities

    • 1 Quiz
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1 Quiz

  • Module 1 Graded Quiz

Module 2 Overview

    • 2 Readings
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2 Readings

  • Module 2 Overview
  • Module 2 Readings

Module 2 Lectures

    • 11 Videos
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11 Videos

  • 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 Graded Activities

    • 1 Quiz
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1 Quiz

  • Module 2 Graded Quiz

Module 3 Overview

    • 2 Readings
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2 Readings

  • Module 3 Overview
  • Module 3 Readings

Module 3 Lectures

    • 11 Videos
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11 Videos

  • 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 Graded Activities

    • 1 Quiz
    • 1 PeerReview
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1 Peer Review

  • Module 3 Peer Reviewed Assignment

1 Quiz

  • Module 3 Graded Quiz

Module 4 Overview

    • 2 Readings
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2 Readings

  • Module 4 Overview
  • Module 4 Readings

Module 4 Lectures

    • 14 Videos
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14 Videos

  • 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

Module 4 Graded Activities

    • 2 Readings
    • 1 Quiz
    • 1 Plugin
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2 Readings

  • Congratulations on completing the course!
  • Get Your Course Certificate

1 Quiz

  • Module 4 Graded Quiz

Auto Summary

Discover how data-driven decision-making can transform businesses with the "Business Analytics Executive Overview" course. Ideal for professionals in Business & Management, this Coursera course, led by an expert instructor, delves into key analytics concepts, real-world applications across various industries, and future trends. With a comprehensive duration of 1020 minutes, learners can choose from Starter, Professional, or Paid subscription options to gain valuable insights and stay ahead in the data-driven world.

Douglas B. Laney
Instructor

Douglas B. Laney