Date: 19-20 July 2017
Venue: Pullman Kuala Lumpur City Center, KL
Normal price: RM2,600/person + GST (6%)
Registration and payment The registration form must be fully completed and signed and must be received by Nottingham University Business School before 27 June 2017 together with your payment.
- Stimulate ideas from participants and help them identify potential high-impact applications in their respective organizations
- Answer the ‘when, and how to start building BDA application’ question
Who should attend this training?
This training is ideal for professionals who intend to utilize tools and techniques like data mining, data visualizations and predictive modeling to predict and optimize outcomes and derive value from their data. The lessons learnt will be applicable to areas such as customer analytics, targeted marketing, social media analytics, fraud detection, predictive maintenance, resource management, etc.
Who should attend this Data Science training?
This training reviews the commonly applied statistical/mathematical/artificial intelligence concepts and theories in data science applications. Discussion of the theories surrounds the fundamentals, working principles, and limitations of commonly used algorithms. In subsequent hands-on sessions, participants will learn how to apply these theories to real-life case studies. Therefore, this training is ideal for both researchers who focus on algorithms, and for professionals who intend to work on data analytics applications such as critical product analysis, targeted marketing, customer lifecycle management, social media analytics, fraud detection, and inventory management.
UTM Big Data Centre is organising “Professional Certificate in Data Science”. We welcome all enthusiastic practitioners or researchers from government and industries with non-IT or IT background; experienced or non-experience individuals/ students and for those who are interested in Data Science and Big Data
This course provides the basic knowledge and techniques to get you started with your journey to become a data scientist. The course will cover the different types of data according to their nature, and different data formats. It will also cover the basics set of tools, that enables you to collect data, understand key features in a dataset, and the techniques for collecting, cleaning, and sharing data.