Introduction to Business Intelligence and Analytics

Hands-on, Skill Development Course in Data Science for Business

Fall 2016 | August 22 –  Dec 16 | 12:00 – 01:15 pm | Wednesdays & Fridays | E201

Business Intelligence has become an essential and integral part of modern productivity. Business Intelligence gives organizations an in-depth view of their business operations and Business Analytics offers them the analytical ability to extract and analyze business data for formulating strategies, expanding market, containing cost, minimizing risk, identifying opportunities and predicting the future.


Course Objectives

  • Formulate and implement BI strategies

  • Create and use BI dashboard

  • Conduct descriptive, predictive and prescriptive analysis

  • Mine and analyze business data and process

  • Analyze and model different business cases

Data Management

Data Retrieval

Data Visualization

Data Processing

Data Analysis

Course Plan

This course  provides an introduction to the field of business intelligence and business analytics at the operational, tactical, and strategic levels. The aim of this course is to furnish the students 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, predictive analytics, and prescriptive analytics. This Lab format courses increase the student involvement, allowing them to develop a functional understanding and practical knowledge of the course content. Emphasis will be also placed on the interpretation and implementation of results.

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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 others. Students can join the class with this code: evyjja

Resources

Recommended Reference

Recommended Textbook: Business Analytics (2Ed) by James R. Evans. Published by Pearson. The book comes with a license for Frontline System’s Risk Solver Platform and XLMiner.

Applications


  • 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.

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

    DJ Patil, U.S. Chief Data Scientist at White House
  • "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 you torture the data long enough, it will confess.

    Ronald Coase, Economist
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