Big Data Predictive Analytics Solution using Python (Intermediate Level)
10 - 12 JUNE 2024
CAPE
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur
9.00AM - 5.00PM
RM 3,400 FOR PROFESSIONALS
10% Discount for Early Bird (until 10 May 2024) / Group / Students
INTRODUCTION
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.
Module 1: Introduction to Data Science and Predictive Analytics
Module 2: Machine Learning Models for Predictive Analytics
Module 3: Predictive Analytics using Phyton Programming
OBJECTIVES
Upon completion of this course, participants will be able to:
WHO SHOULD ATTEND?
1. Dr. Mohd Hilmi Hasan (UTP)
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.
2. Dr. Said Jadid (UTP)
3. Dr Hitham Al-Hussian(UTP)
Dr Hitham Al-Hussian received his BSc and MSc in Computer Science from the School of Mathematical Sciences, University of Khartoum (UofK), Sudan. He obtained his PhD from Universiti Teknologi PETRONAS (UTP), Malaysia. Following his PhD, he worked as a Post Doctorate Researcher in the High-Performance Cloud Computing Center (HPC3) in UTP. He is currently, a Senior Lecturer in the department of Computer and Information Sciences in UTP and a core member of Centre for Research in Data Science (CERDAS). His main research interests include real-time parallel computing, big data and cloud computing, machine learning and data mining.
*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).
*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).
Centre for Advanced & Professional Education (CAPE)
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur
+605 - 368 7558 /
+605 - 368 8485
cape@utp.edu.my