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Business Analytics Executive Overview

Approx. 17 hours to complete

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Course Summary

This course provides an executive overview of business analytics, covering key concepts and tools used in data analysis for business decision-making.

Key Learning Points

Learn the basics of data analysis and how it can inform business decisions
Understand how to use data visualization tools to communicate insights
Explore predictive analytics and its applications in business
Gain a high-level understanding of big data and its impact on business strategy

Learning Outcomes

Learn how to analyze data and make informed business decisions
Gain skills in data visualization and communication
Understand the basics of predictive analytics and its applications in business

Prerequisites or good to have knowledge before taking this course

No prior experience in data analysis required
Basic understanding of business principles

Course Difficulty Level

Intermediate

Course Format

Self-paced
Online
Video lectures

Similar Courses

Data Analytics Foundations for Accountancy II
Business Analytics Fundamentals

Related Education Paths

Notable People in This Field

Author and Analytics Expert
Statistician and Founder of FiveThirtyEight

Related Books

Description

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.

Outline

Course Overview & Module 1 Analytics Beyond the Spreadsheet
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
Update Your Profile
Module 1 Overview
Module 1 Readings
Orientation Quiz
Module 1 Graded Quiz

Module 2 Industry and Business Function Analytics
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 Staffing and Organizing for Analytics
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

Module 4 Analytics Success Today and Tomorrow
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
Gies Online Programs
Module 4 Overview
Module 4 Readings
Congratulations!
Module 4 Graded Quiz

Summary of User Reviews

Discover how to leverage data and analytics to optimize business performance with the Business Analytics Executive Overview course on Coursera. Students rave about the valuable insights provided by the course, which covers a wide range of topics related to business analytics. One key aspect that many users thought was good was the course's accessibility to non-technical learners, making it easy for anyone to understand and apply analytics concepts to their business. However, some users found the course to be too basic and lacking in hands-on exercises.

Pros from User Reviews

Easy to understand for non-technical learners
Valuable insights on business analytics
Good overview of various topics related to analytics

Cons from User Reviews

Lacks hands-on exercises
Too basic for some users
Not enough depth on certain topics

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