This course is designed to expose the participants with the

concept of machine learning models for predictive analytics

(theory + case study). This course includes hand on

approach using real world datasets, to test different

models and visualize the outputs with different machine

learning models which can later be directly applied by the

participants to the job.

Upon completion of this course, participants will be able to: Explore the predictive analytic which is useful for

managerial decision making

Develop constructive approach to solve business queries with R

Understand the implementation of Big Data Analytics that can help in improving management decision-support effectiveness

Topic Sub-topic

Module 1: Introduction to Data Science and Predictive Analytics

1. Fundamental of Data Science

2. Introduction to Predictive Modelling Using R Programming

Module 2: Machine Learning Models for Predictive Analytics

1. Definition, Methods, and Algorithms

2. Predictive Modelling Techniques

Module 3: Predictive Analytics using R Programming

1. Introduction to R 2. Data Manipulation in

R 3. Create and Customize

Visualizations using ggplot2

4. Perform Predictive Analytics using R

Anyone interested in Big Data

Managers and Executives

Engineers, Researchers & Consultants

Dr. Mohd Hilmi Hasan, is a senior lecturer at

Universiti Teknologi PETRONAS (UTP), Malaysia. He obtained his Ph.D in Information Technology from UTP in 2017 with a research in the area of artificial intelligence, specifically Interval Type-2 fuzzy. He also graduated with a Master of Information Technology (eScience) from The Australian National University in 2004 and a Bachelor of Technology (Hons.) Information Technology from UTP in 2002. He has been teaching and being an active researcher at UTP since 2004. His research interest

covers areas of artificial intelligence and data analytics. He has been appointed as a reviewer for Artificial Intelligence Review Journal (Q2 Journal) and many other international conferences.

Dr. Izzatdin, 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. Said Jadid, is currently a Lecturer at the

Department of Computer and Information Sciences, Universiti Teknologi PETRONAS (UTP). He holds a Degree in Computer Science from Moi University (2009), Master’s Degree in Computer Science from Universiti Teknologi Malaysia (2012) and a PhD in Information Technology from Universiti Teknologi PETRONAS (2016). His research interests are in the areas of Machine Learning (Supervised Learning) and Data Analytics (Predictive and Streaming Analytics). He has been appointed as a reviewer for Artificial Intelligence Review

(Q2 Journal) and a technical committee for various international conferences.

RM 2230 (Professionals) 10% Discount (UTP Alumni,

PETRONAS & Group Registration) 20% Discount (Student) Course fee is inclusive of 6% SST.

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.

Course Coordinator: Dr. Hilmi Hasan

Tel: +605-368 7493 Email: mhilmi_hasan@utp.edu.my

Course Registration: Mr. Farhan Zulkefly Tel: +603-2276 0136 / +60143150602

Email to cape@utp.edu.my for registration by 15th April 2019.

Seats are limited. A seat will be confirmed once the payment / LOU

is received. Confirmed participants will be informed via email.