Big Data Predictive Analytics Solution using Python (Intermediate Level)
LEVEL: INTERMEDIATE HRDF: CLAIMABLE
Fifteen (15) CPD Hours approved by MBOT
TRAINERS:
Dr Hilmi Hasan, Dr Said Jadid & Dr Hitham
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
CONTENT SUMMARY
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
- Introduction to Data Science and Predictive Analytics
- Fundamental of Data Science.
- Introduction to Predictive Modelling Using Phyton Programming.
Module 2: Machine Learning Models for Predictive Analytics
- Machine Learning Models for Predictive Analytics.
- Definition, Methods, and Algorithms.
- Predictive Modelling Techniques.
Module 3: Predictive Analytics using Phyton Programming
- Predictive Analytics using R Programming.
- Introduction to Phyton.
- Data Manipulation in Phyton.
- Create and Customize Visualizations.
- Perform Predictive Analytics using Phyton.
OBJECTIVES
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 Phyton.
- Understand the implementation of Big Data Analytics that can help in improving management decision-support effectiveness.
WHO SHOULD ATTEND?
- Anyone interested in Big Data.
- Engineers, Managers and Executives.
- Admin staff, Clerk, Executive, Researchers & Consultants
OUR TRAINERS
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.
REGISTRATION FEES
PROFESSIONALS
MYR3,400*
*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).
EARLY BIRD/ GROUP/ STUDENT
MYR3,060*
*fee quoted does not include SST, GST, HRDF service fee / VAT or withholding tax (if applicable).
OUR LOCATION
Centre for Advanced & Professional Education (CAPE)
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur
CALL US
+605 - 368 7558 /
+605 - 368 8485
DROP US AN EMAIL
cape@utp.edu.my