Business Intelligence and Data Mining

Learn how to use business intelligence and predictive analytics techniques to predict problems, improve your business outcomes, and gain a competitive edge

Program Overview

People spend 30% of their time and income on daily commutes. Public transportation agencies are challenged to find ways to increase convenience, improve the travel experience, and lower costs. Business analytics uses real-time data to anticipate and control congestions, helping traffic systems to flow smoothly.

Duration
5 days

Sessions
TBC

Fees
AED 4,725
(VAT 5% inclusive)

Today, companies across the world are spending millions to master the technique of collecting, comprehending, analysing and monetising data. Also, there are opportunities galore for smart and vibrant analysts who have gained proficiency in topics like business intelligence, data mining, data visualisation, segmentation and predictive analytics.

University of Wollongong in Dubai in partnership with IBM’s Skills Academy, is offering the Business Intelligence and Data Mining course to create business analysts who can add value to an organisation.

This course enables professionals to learn essential business analytics models to collect and analyze data efficiently. Through this training, attendees will gain knowledge and hands-on skills in topics such as predictive analytics models, data mining, data collection and integration, nodes, and statistical analysis, thus enabling them to use tools for market research and data mining in order to predict problems and improve outcomes.

What the Programs Covers

This program will allow participants to:

Acquire knowledge and practical skills in the area of Business Intelligence and Predictive Analytics.
Gain an in-depth understanding of Business Intelligence and Predictive Analytics concepts, including
Use the user interface of modeler to create basic program streams
Read a statistics data file into modeler and define data characteristics
Review and explore data to look at data distributions and to identify data problems, including missing values
Use the automated data prep node to further prepare data for modeling
Use a partition node to create training and testing data subsets
Obtain an IBM Digital Certification in Predictive Analytics Modeling.

Key Program Benefits

Upon completing this training and receiving your IBM Mastery Badge as Predictive Analytics Modeler, you will be able to:

Ensure that your business/organisation stays relevant by exploring the opportunities for Business Intelligence and Predictive analytics.
Use modeler to read, review, analyse data.
Apply business intelligence and predictive analytics techniques to real case studies.
Become a certified Predictive Analytics Modeler.

Who should take this course?

Business Intelligence and predictive analytics offers tremendous opportunities for business growth, by uncovering hidden patterns and trends, predicting outcomes, retaining customers, improving market research, and injecting certainty and predictability in the decision making process. This course is ideal for senior managers, middle managers, entrepreneurs and business owners who have a keen interest in investing in and adopting business intelligence and predictive analytics. It is also aimed at those in more technical roles who would like to take on a leadership role in using predictive analytics and data mining for uncovering trends and generating insights that could give a competitive edge to their businesses.

What you will learn

This training program consists of 40 hours of instructor-led training and self-paced readings. The instructor lead training combines traditional teaching components, with case studies, in-class discussions, and hands-on activities performed on virtual labs, to enable working knowledge and experience with Business Intelligence and its related tools.

Learning Modules

The training consists of three main modules, offered over five days:

MODULE 1 - Analytics Overview
Business Analytics Overview, Trends, Case Studies Understanding Business Intelligence and Analytics

MODULE 2 – Business Analytics Foundations
Introduction to Data Mining CRISP-DM

MODULE 3 – Predictive Analytics Modeler
Nodes and streams Initial data mining, storage and field measurement Understanding the data (valid and invalid values) Integrating data (methods, options, merging, and sampling) Deriving and reclassifying fields (CLEM) Looking for relationships (matrix, distribution, means, histogram, statistics and plot) Functions (conversion, string, and statistical) Statistical, graphical and sample nodes Automated data mining and modelling Predictive models and customer segmentation

IBM Open Badges:

Predictive Analytics Modeler: Explorer | Mastery Award

Meet the Instructor:

Prof Farhad Oroumchian has more than 8 years’ experience in project management, information technology, consultancy and academia. He has developed an intelligent search engine which uses human-like reasoning to find relevant information and is a member of several Centres of Excellence and Research groups.

Prof Oroumchian is an active researcher and has published more than 100+ journal and conference publications and his research has been cited more than 1000 times in academic journal and conference papers. He is a prominent researcher on textual information processing and retrieval as well as multilingual search engines and his current research interests include information retrieval, data mining, decision support systems and artificial intelligence.

Prof Oroumchian is the Associate Dean (Education) in the Faculty of Engineering and Information Sciences at the University of Wollongong in Dubai (UOWD) and obtained his PhD from Syracuse University in New York.

For more information please email us on FEIS-ELP@uowdubai.ac.ae