This course is designed to expose the participants, with the concept, techniques, issues and challenges involved in Big Data Analytics. Exposure will also be provided to the participants on big data characteristics, data analysis and management techniques, which is applied to massive datasets that enables real-time decision making in distributed environments, and scientific discovery at large scale. In particular, the participants would be able to examine the big data management techniques that make possible analysis of large volumes of data at the end of the course. At the same time, the course prepares the participants to be technically competent in analyzing and managing big data.

The course is aimed:

To offer the knowledge and skills to examine big data using techniques that allow analysis of large volumes of data in near real time.

Topic Sub-topic

Module 1: Introduction to Big Data Ana-lytics

1. What is Big Data? 2. How does it differ from Regular Analytics?

Descriptive Analytics Predictive Analytics Prescriptive Analytics

Module 2: Making sense of Data

1. Big Data and Machine Learning

Supervised and Unsuper-vised Learning

2. Big Data Analytics Case Studies –Group exercise 3. Project Sharing session

Module 3: Data visualiza-tion

1. Introduction to Data Visualization 2. Environment setup-Power Bi 3. Report and Dashboard

Big Data Analytics

Anyone interested in Big Data

Managers and Executives

Engineers, Researchers & Consultants

Email to CAPE@utp.edu.my for registration by 8th July 2019 Seats are limited. A seat will be confirmed once the payment / LOU is received. Confirmed participants will be informed via email.

Course Coordinator: Assoc. Prof. Dr Jafreezal Jaafar Tel: +605-368 7404 Email: jafreez@utp.edu.my Course Registration: Mr. Farhan Zulkefly Tel: +603-2276 0136 / +60143150602 Email: farhan.zulkefly@utp.edu.my

Jafreezal Jaafar is an Associate Professor and currently the Dean of Faculty Science & Information Technology at Universiti Teknologi PETRONAS, Malaysia. He holds a PhD from University of Edinburgh, UK (2009). His main research areas include Big Data Analytics, Soft Computing and Software Engineering. He has secured a number of research projects from the industry and government agencies. Based on his publication track records he had been appointed as the Chief

Editor and reviewer for several journals, and also the Chair, Technical Chair and committee for several International Conferences. He is also active in IEEE Computer society, Malaysia Chapter and has been appointed as the Executive Committee for 2016 and 2017.

Dr. Izzatdin Abdul Aziz is a senior lecturer, , deputy head of Centre of Research in Data Sciences (CeRDaS) and researcher at the High Performance Cloud Computing Centre (HPC3) in the Universiti Teknologi PETRONAS (UTP), where he focuses in solving complex upstream Oil and Gas (O&G) industry problems from the view point of computer sciences. Dr. Izzatdin currently serves as the deputy head of the Computer and Information Sciences Department in UTP. He obtained his Ph.D in Information Technology from Deakin

University, Australia working in the domain of hydrocarbon exploration and cloud computing. He is working closely with O&G companies in delivering solutions for complex problems such as Offshore O&G pipeline corrosion rate prediction, O&G pipeline corrosion detection, securing data on clouds and designing and implementing Metocean prediction system and bridging upstream and downstream oil and gas businesses through data analytics. Additionally, he is also working on Big Data transmission, security and optimization problems on High Performance Clouds.

Dr Norshakirah Aziz is a lecturer at the Computer and Information Sciences Department at Universiti Teknologi PETRONAS, Malaysia. She currently researcher at the UTP Centre of Research in Data Sciences (CeRDaS) and Data Governance Leader at High Performance Cloud Computing Data Centre (HPCCC). She has a total of 15 years’ experience in Academic Institutions and in the Industry. Her Industry working experience as IT consultant and IT Project Manager

mainly on Business Intelligence, E-Business (e-Procurement) and Electronic Supply Chain Management (E-SCM). She graduated her PhD in E-SCM Integration & Collaboration. Her research related to Business Intelligence, Data Analytic, Data Governance and Digital Addiction. She currently active as trainer for Big Data Analytics and Data Visualization using Power Bi.

RM 2150 (Professionals) 10% Discount (UTP Alumni &

Group Registration) 20% Discount (Student) Course fee is inclusive of 0% GST.

Group registration is applicable for 3 pax

and above from the same company.

The fees include refreshments and the

course materials.

A certificate of attendance will be issued

upon successful completion of the course.