Competing on Big Data Analytics (Malaysia)

 
  

Programme fact file

Programme title: Competing on Big Data Analytics
Qualification: Certificate of Attendance 
Start date: 5th - 6th September 2016
Duration: 2 Days 
Maximum places available: Limited 
Fees: RM 3,800 + GST of 6%.
Available on weekends/evenings: No
School:

Nottingham University Business School Malaysia

Programme overview

Course description

This is a two-day residential programme. The primary focus of this training is to provide the participants with a practical grounding in the frameworks, techniques and technologies of big data analytics. In order to demonstrate the relevance of frameworks to practice, this programme will provide practical experience of designing, building and analysing models involving big data. Consequently participants can harness big data to make more informed business decisions in complex markets and reshape their companies through various information platforms. 

Audience

For C-level executives at large established companies who are interested in improving their decision-making skills through analytics.

Aims

Programme goals:

After completing the training, you will be able:

  • To manage data for various business applications.
  • To know important big data techniques that create business value.
  • To create reports in the form you need.
  • To lead and manage big data analytics projects.

Course tutor

KhongKokWei
Dr Khong Kok Wei (PhD in Process Reengineering and Customer Service Management, Multimedia University)
Khong is a Professor of Marketing Analytics and currently the Director of MBA Programmes in Nottingham University Business School Malaysia. He has a wide range of experience in teaching (both undergraduate and postgraduate levels), research, training and consulting both locally and internationally.

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He has published many papers in services marketing, social media studies, behavioral science studies and process reengineering. He has also conducted many professional trainings, seminars and workshops for corporate and academic institutions like Hyatt Hotel, AMWAY Malaysia, British Malaysia Chamber of Commerce, King's Confectionery, National University of Singapore extension programs, Department of Statistics Malaysia, UPM GSM, KUITHO, UPSI, UMS, SAS Institute in Malaysia, SPSS Malaysia, etc.

He was appointed as a consultant in recent projects with GfK Retail and Technology Malaysia, AMWAY and CBSA Online. At present, he is the Vice-President of the SAS User Group Malaysia (SUGMa).

Programme detail

Course details

Methods of training and assessment

  • Powerpoint presentations
  • Classroom discussion 
  • Hands-on data mining tools 
  • Flipchart presentations for brainstorming
  • Presentation from participants 


Programme outline

Day One

Basic Level in Big Data Analytics 

  • Understanding big data
  • Introduction to data science and big data analytics
  • Data Analytics Process and Lifecycle
  • Basic Data Analytics Techniques 

Day Two

Advanced Level in Big Data Analytics   

  • Advanced Data Analytics Techniques
  • Data Mining and Extraction of big data
  • Predictive Modelling and forecasting
  • Building business cases using big data analytics  

School details

Nottingham University Business School (NUBS) is one of the world’s leading providers of business, finance and management education. We provide outstanding teaching programmes and support that enable our students at our schools in the UK, China and Malaysia to excel in a global environment.

NUBS Malaysia

We are a large and culturally diverse school, with 40 full-time academic staff, from countries such as Malaysia, Indonesia, South Korea, Australia, India and the UK and over 1,000 foundation, undergraduate, and postgraduate students.

Location

Hotel accommodation

Avillion, Port Dickson

 

Contact

Judy Wong, Administrator and Coordinator
t:   +60 3 8924 8000 
 
 
 

Continuing Professional Development Services

Jubilee Conference Centre
Jubilee Campus
Triumph Road
Nottingham, NG8 1DH

telephone: +44 (0) 115 748 4352
email: cpd@nottingham.ac.uk