Coursera

Business Intelligence and Competitive Analysis (Coursera)

Offered by Rutgers University,
Business Intelligence and Competitive Analysis (Coursera)

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

The challenge faced by AAL is typical; addressing it may well be a management consulting project worthy millions of dollars. In particular, business intelligence and competitive analysis is required to discover problems and opportunities for the company, and lay the foundation for turning-around strategies.
In this course, you will learn a powerful tool that combines data, industry classification, and analytics models with visualization tools for effective and efficient business intelligence and competitive analysis. Upon completion of the course, you should be able to conduct a business intelligence and competitive analysis on a company of your choice as a management consultant.
What You Will Learn

  • Industry analysis: business geographic information, competition intensity, industry trend, value chain analysis.
  • Competition positioning: where does the company stand in the competitive landscape?
  • Enterprise diagnosis: competitive strength and weakness, levers driving financial performance in this industry, the key problems and causes.

Course 2 of 5 in the Supply Chain Analytics Specialization.

Syllabus

WEEK 1
Welcome!
Welcome to Business intelligence (BI) ad competitive analysis! In Week 1, you will learn the story of American Airlines Group (AAL), the challenges it faces, and the power and framework of a competitive analysis.

WEEK 2
Industry Analysis
In Week 2, you will learn the tools of business geographic information, competition intensity, industry trend, and value chain analysis to analyze the industry of your choice.

WEEK 3
Competition Positioning
In Week 3, you will learn how to position the company of your choice in its industry to find out where the company stands in the competitive landscape.

WEEK 4
Enterprise Diagnosis
In Week 4 (final week), you will learn enterprise diagnosis tools to discover the strength and weakness of the company of your choice relative to its competitors. You will also learn the value driver and breakdown analysis tools to identify performance drivers for the industry, and discover key problems and causes for the company.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Search Engines for Web and Enterprise Data (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Search Engines for Web and Enterprise Data (Coursera)

CS: Software Engineering

This course introduces the technologies behind web and search engines, including document indexing, searching and ranking. You will also learn different performance metrics for evaluating search quality, methods for understanding user intent and document semantics, and advanced applications including recommendation systems and summarization. Real-life examples and case studies are provided to reinforce the understanding of search algorithms.

Aug 17th 2026
13-24 Weeks
Web Recommender Systems Web Search
Details
Interprofessional Healthcare Informatics (Coursera) Coursera
University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Statistics & Data Analysis Data Science

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Aug 17th 2026
5-12 Weeks
Healthcare Informatics Telehealth
Details
Analytics in Healthcare Management and Administration (Coursera) Coursera
Northeastern University

Analytics in Healthcare Management and Administration (Coursera)

Health & Society

This course is the continuation of Healthcare Analytics Essentials . If you have not yet taken the Healthcare Analytics Essentials course, it is recommended that you complete that course prior to this course. The foundational knowledge to support the project are carried through in this deeper dive into using healthcare analytics in management and administration.

Aug 17th 2026
4 Weeks
Healthcare Data Analysis Strategic Thinking
Details
Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

Statistics & Data Analysis Data Science

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more.

Aug 17th 2026
4 Weeks
IPython Data Analysis Computer Programming
Details
Data Visualization with Tableau Project (Coursera) Coursera
University of California, Davis

Data Visualization with Tableau Project (Coursera)

Statistics & Data Analysis Data Science

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way.

Aug 10th 2026
5-12 Weeks
Data Analysis Data Visualization Tableau
Details
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

CS: Theory CS: Programming

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Aug 17th 2026
4 Weeks
Programming Algorithms SQL
Details
Matlab and Simulink Basics (Coursera) Coursera
Starweaver

Matlab and Simulink Basics (Coursera)

CS: Software Engineering

Matlab and Simulink Basics is a meticulously crafted course offering a comprehensive introduction to Matlab's programming environment and Simulink's modeling capabilities. This course is tailored for individuals keen on bolstering their skills in these indispensable tools for engineering, science, and research domains. From laying down foundational concepts to delving into practical applications, participants will embark on a journey that hones their abilities to manipulate data, design models, and interpret results with Matlab and Simulink.

Aug 17th 2026
4 Weeks
MATLAB Data Analysis Computer Programming
Details
Earth Economics (Coursera) Coursera
Erasmus University Rotterdam

Earth Economics (Coursera)

Economics & Finance

After this course you will be an Earth Economist that can provide evidence-based advise on the best global policy. As an Earth Economist you will better understand the behavior and advice of economists, have become a better economist yourself and know where to find Earth's data and how to analyze these world observations. Our planet is too important: we need you to get engaged!

Aug 17th 2026
5-12 Weeks
Economics Data Analysis Policy Analysis
Details
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Statistics & Data Analysis

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Aug 17th 2026
4 Weeks
Medicine Statistics Data Analysis
Details