Advanced Statistical Techniques Training in United States of America

  • 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 United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
06 September 2024
United States of America
2 Days
Classroom / Virtual Classroom
11 September 2024
United States of America
2 Days
Classroom / Virtual Classroom
16 September 2024
United States of America
2 Days
Classroom / Virtual Classroom
27 September 2024
United States of America
2 Days
Classroom / Virtual Classroom
05 October 2024
United States of America
2 Days
Classroom / Virtual Classroom
14 October 2024
United States of America
2 Days
Classroom / Virtual Classroom
21 October 2024
United States of America
2 Days
Classroom / Virtual Classroom
06 November 2024
United States of America
2 Days
Advanced Statistical Techniques Training Course in the United States

The United States of America (USA) is a country in North America and a federal republic of 50 states. At almost 9.8 million square kilometers, the United States is one of the world’s biggest and most populous countries. While America’s capital city is Washington, D.C., some of its well known cities are New York, Los Angeles, Miami, Chicago, Orlando, Las Vegas, Dallas, San Francisco and Kansas City.

The most iconic symbol of the country is probably the Statue of Liberty in New York and it was gifted by France. Despite the fact that English is the most widely used language in the United States, there is no official language. Independent since July 4, 1776, USA’s motto is “In God We Trust” and their current president is Joe Biden. Some of the best places to visit in the United States are Grand Canyon, Yosemite, Maui, New Orleans, Honolulu, Zion National Park, Kauai, Lake Tahoe, Aspen, Big Sur and Santa Fe.

Achieve your IT goals through our versatile courses, spanning programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Benefit from the flexibility of hosting training at your preferred location within United States, where our experienced instructors will provide hands-on learning and practical expertise.
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