Big Data Analytics for Business & Beyond (Beginner)

LEVEL : BEGINNER               HRDF : CLAIMABLE

TRAINER : ASSOC PROF DR JAFREEZAL, ASSOC PROF DR IZZATDIN, TS DR NORSHAKIRAH & TS DR EMELIA

 

WHEN  


23 - 24 FEBRUARY 2021

 

WHERE 


MS TEAMS

 

TIME


9.00AM - 5.00PM 

 

RM 1,350 FOR PROFESSIONAL

10% Discount for Early Bird (until 28 Jan 2021) / Group / Students

COURSE SUMMARY

INTRODUCTION

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.

COURSE CONTENT
Module 1: 
Introduction to Big Data Analytics.
  • What is Big Data? 
  • Fundamental of Big Data. 
  • Making sense of data. 

Module 2: 

Understanding analytics. 

Basic and machine learning technique.
  • Big Data and Machine Learning. 
  • Big Data Analytics. 
  • Case Studies – Group exercise. 
  • Group presentation. 
  • Project Sharing session.

Module 3: 

Data visualization

Insight to action.
  • Introduction to Data Analytics and Visualization.
    • Descriptive Analytics
    • Predictive Analytics 
    • Prescriptive analytics 
  • Environment Setup-Power Bi. 
  • Dashboard – insight to action.
    • Dashboard Excel 
    • Dashboard Power Bi 


OBJECTIVES

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. 

Upon completion of this course, participants will be able to:

  • Understand the Fundamental Big Data Analytics.
  • Perform analytics using EXCEL as data source. 
  • Making sense of data from Insight to Action. 

  • Understand Data Management.


WHO SHOULD ATTEND?

  • Anyone interested in Big Data.
  • Managers and Executives.
  • Admin staff, Clerk, Executive, Researchers & Consultants.





OUR TRAINERS



1. Associate Professor Dr Jafreezal Jaafar (UTP)

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.


2. Associate Professor Dr Izzatdin Abdul Aziz (UTP)

Izzatdin Abdul Aziz is an Associate Professor and Deputy Head at the Centre for Research in Data Science (CeRDaS) in Universiti Teknologi PETRONAS (UTP), where he focuses on solving complex upstream Oil and Gas (O&G) industry problems from the view point of computer science. He obtained his Ph.D in Information Technology from Deakin University, Australia working in the domain of hydrocarbon exploration. Prior to his Ph.D, Izzatdin earned his Master’s degree in Information Technology specializing in Computer Networks from the University Of Sydney, Australia. Izzatdin has secured and delivered numerous computing-related O&G projects mainly relating to seismic data processing and implementation of workflows for processing hydrocarbon exploration dataset on cloud-based systems. 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. Additionally, he is also working on Big Data transmission, security and optimization problems on High Performance Computing Clusters. His research is mainly funded by the Petroleum Research Fund, PETRONAS and The Malaysian Ministry of Higher Education.




3. Ts Dr Norshakirah Bt Abdul Aziz (UTP)

Ts Dr Norshakirah Bt Abdul Aziz is a Senior Lecturer at the Computer and Information Sciences Department at Universiti Teknologi PETRONAS, Malaysia. Currently, she is a researcher at the UTP Centre of Research in Data Sciences (CeRDaS) and Data Governance Leader at High-Performance Cloud Computing Data Centre (HPCCC). She holds a Diploma in Management Technology, Bachelor's Degree in Information Technology (IT), MSc Degree in IT, and a PhD in e-SCM Integration & Collaboration. Also, she has a total of 16 years of experience gained from academic institutions and industry under her belt. Her industry working experience is related to Business Intelligence, E-Business, and IT Project Management. Her research scope covers Business Intelligence, Data Analytics, Data Governance, and Digital Addiction. Besides, she is a qualified Technologist Specialist (Ts), an HRDF Certified Trainer, and a present EXCO Committee Member for Data Science Association, Malaysia and also provided training to all management level for E-Procurement & E-Business short courses. 



4. Ts Dr Emelia Akashah P. Akhir (UTP)

Ts Dr Emelia Akashah P. Akhir is a lecturer at the Universiti Teknologi PETRONAS, Malaysia. She is a faculty member of Computer and Information Sciences Department and also attached to Centre for REsearch in Data Science (CeRDaS). She graduated from University of Brighton, UK with a PhD in Computing. She also an alumni of University of Surrey, UK where she obtained her MSc in Information System. Prior to that, she also holds her Diploma and First Class BSc (Hons) in Computer Science. Her research interest mainly includes but not limited to Data Management, Information and Business alignment, Data Governance, Data Quality and Information System. She is also currently involved data quality and Data Science research. She is a member for UK Association of Information Systems (UKAIS).



COUNTDOWN

DaysHoursMinutesSeconds

REGISTRATION FEES

      Professional       

myr1,350

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

Early bird/ group/ student

myr1,215

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558

DROP US AN EMAIL

cape@utp.edu.my