Business Intelligence and Data Analytics for MBA

Hands-on Skill Development Course in Data Science for Business

 CRN: 89586 | Spring 2017: Jan 9 – May 12 Time: 6:00 – 9:00 pm | Day: Wednesday |  Room: BUSAD D203 | Instructor: Kaveh Abhari

Business Intelligence has become an essential and integral part of modern productivity systems. This course gives you an in-depth overview of business intelligence and offers you the analytical abilities to extract and analyze business data for formulating strategies, expanding markets, containing costs, discovering risks, identifying opportunities and projecting the future.

Course Objectives

  • How to ask right BI/BA questions

  • How to learn BI/BA related tools and techniques

  • Create and use business dashboard

  • Analyze & model different business cases for problem-solving

  • Formulate and implement BI/BA strategies

  • Document, Interpret and Report BI/BA Results

Data Management

Data Retrieval

Data Visualization

Data Processing

Data Analysis

Data Strategy

  • The overall business intelligence and analytics market, made up of both software and services, was worth $79 billion in 2012, and will now grow at a rate of approximately 16% annually to reach $143.3 billion in 2016.

  • If you torture the data long enough, it will confess.

    Ronald Coase, Economist
  • "I never guess. It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts."

    Sir Arthur Conan Doyle, Author of Sherlock Holmes stories
  • “Analytics momentum continues to grow, moving squarely into the mainstream of business decision-making worldwide. Put simply, analytics is becoming both the air that we breathe—and the ocean in which we swim”

    Deloitte Analytics
  • If 'sexy' means having rare qualities that are much in demand, data scientists are already there.



Class Policies

This course provides an introduction to the field of business intelligence and analytics at the operational, tactical, and strategic levels. The aim of this course is to furnish you with an understanding of basic data science techniques and to provide some insight into how these tools may be used to analyze complex business problems and arrive at solutions. The techniques to be studied are visual analytics, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. The instruction in this course is lab-based and student-centered, and it intends to increase your participation and active learning. This approach will allow you to develop in-depth functional understanding and gain practical knowledge of the course content.


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Suggested books are optional. More optional readings and resources are available on our Google classroom page.


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Class Community

Google Classroom is a blended learning platform to enhance your learning experience. You can ask questions, submit assignments, download materials, check your grades, share interesting things and help each other. Students can join the class using this code: d47lb9c