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

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Upcoming Trainings

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

10 January 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

13 January 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

10 January 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

13 January 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

18 February 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

09 March 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

18 February 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

18 March 2025 (2 Days)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

Advanced Statistical Techniques Training Course in New Zealand

New Zealand is an island country in the southwestern Pacific Ocean and it consists of two main islands and 700 smaller islands. Two main islands are the North Island and the South Island. The capital city of New Zealand is Wellington and the most popular city of the island country is Auckland. English, Māori and New Zealand Sign Language are the official languages of New Zealand. As of January 2022, the population of the country is about 5,138,120. 70% of the population are of European descent, 16.5% are indigenous Māori, 15.1% Asian and 8.1% non-Māori Pacific Islanders.

Since most of the country lies close to the coast, mild temperatures are observed year-round. January and February are the warmest months while July is the coldest month of the year. Fiordland, the first national park of New Zealand Tongariro

Unlock your potential in IT through our extensive selection of courses, which include programming, software development, data science, business skills, and cybersecurity. Our adept instructors will provide you with hands-on training and practical perspectives, all conveniently hosted at your desired location within New Zealand.

Advanced Statistical Techniques Training in New Zealand

Prerequisites

What You Will Learn

Outline

Upcoming Trainings