Advanced Statistical Techniques Training in Hong Kong

  • Learn via: Classroom
  • Duration: 2 Days
  • Level: Expert
  • Price: From €1,235+VAT
We can host this training at your preferred location. Contact us!

Tackle bigger challenges with sophisticated statistical tools.

Stretching you beyond Black Belt, this course will enable you to explore the application of additional statistical tools for specific situations. This includes statistical techniques to analyse “difficult” data such as rare events or seasonal data as well as expanding the range of tools at your disposal for understanding and modelling business processes.

Delegates must already hold a Lean Six Sigma Black Belt certification

As a result of attending this course delegates will be able to:

  • Build on the fundamentals of control charts, understand when it is appropriate to apply more specialised control charts for specific situations
  • Build on the fundamentals of regression analysis, apply analysis techniques for attribute response variables and screening of multiple factors
  • Apply techniques to analyse highly skewed data
  • Apply techniques to analyse seasonal data
  • Build on the fundamentals of Design of Experiments (DoE) and apply fractional factorial DoE and Surface Response Methods

  • Additional control charts –
    • Short run SPC
    • Control charts for processes with trends
    • Control charts for rare events
  • Regression modelling with attributes data
  • Screening predictor variables using Stepwise Regression
  • Dealing with difficult data -
    • Comparing counts with different areas of opportunity
    • Aggregate data with different sources of variation
    • Highly skewed data
    • Seasonality
  • Design of experiments
    • Fractional factorial
    • Response Surface Method
    • Central Composite Design


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Hong Kong facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
04 August 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
10 August 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
18 August 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
06 September 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
11 September 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
16 September 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
27 September 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Classroom / Virtual Classroom
05 October 2024
Hong Kong, Kowloon, Tsuen Wan
2 Days
Advanced Statistical Techniques Training Course in Hong Kong

Hong Kong is officially known as the Hong Kong Special Administrative Region of the People's Republic of China (HKSAR) and is a city and special administrative region of China on the eastern Pearl River Delta in South China. Hong Kong is one of the most densely populated places in the world, with over 7.5 million population. The official languages of the HKSAR are Chinese and English. Hong Kong is a highly developed territory and ranks fourth on the United Nations Human Development Index and the residents of Hong Kong have the highest life expectancies in the world.

The best time to visit Hong Kong is from September to December, since the temperatures, averaging between 19 to 28 degree Celsius. During this outdoor activities-friendly travelling season, you can take a walk along Victoria Harbour, visit the islands of Lantau, Lamma and Cheung Chau and participate in the Mid-Autumn Festival. Top choices of the tourists to visit in Hong Kong are Big Buddha statue, Wong Tai Sin Temple, Repulse Bay and the Beaches and Hong Kong Disneyland.

Explore our diverse range of IT courses, encompassing programming, software development, cyber security, data science, business skills, and Agile/Scrum. Wherever you are in Hong Kong, our seasoned instructors will bring practical training and expert knowledge to your preferred training venue.
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