Instructor Led DOE Training Classes

Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008 Multivariate Analysis Level - 1 -------------------------------- * The world is multivariate Introduction to multivariate data modelling * When are multivariate methods useful? * Principal Component Analysis (PCA) * Multivariate regression: => MLR- Multi Linear Regression => PCR- Principal Component Regression => PLS- Partial Least Squares * Relevant data collection * Multivariate more...

Multivariate Data Analysis 1 The three-day introductory class is a hands-on course designed to teach participants how to use chemometrics to solve practical problems. The course highlights include, application of Chemometrics to NIR spectroscopy and application of multivariate statistics for specific industrial applications. Customized real-world data sets will be examined during the course. Participants are encouraged to more...

Experimental Design DoE The Design of Experiment training will provide participants with an overview of Experimental Design, its importance in multivariate statistics and an introduction to classical experimental strategies. The course will assume no previous statistical or DOE experience, but will accommodate advanced topics for seasoned practitioners as well. more...

Multivariate Data Analysis 2 This 3-day specialized course and applications development workshop will provide a hands-on, high-retention learning and skills development experience that will teach participants how to use advanced Multivariate Analysis to solve practical problems. The application of multivariate statistics for industrial applications will be highlighted. Numerous real world data sets will be examined during the more...

Multivariate Data Analysis 1 The three-day introductory class is a hands-on course designed to teach participants how to use chemometrics to solve practical problems. The course highlights include, application of Chemometrics to NIR spectroscopy and application of multivariate statistics for specific industrial applications. Customized real-world data sets will be examined during the course. Participants are encouraged to more...

Experimental Design (DoE) This three-day class is a hands-on, practical application workshop that will teach participants to use The Unscrambler Experimental Design suite to design and conduct experiments. The course will provide participants with an overview of Experimental Design, its importance in Multivariate Statistics and an introduction to classical experimental strategies. Participants are encouraged to bring more...

Multivariate Data Analysis(MVA) & Design of Experiments(DoE)- Chemometrics & Sensometrics Applications The integrated course has been designed to give participants a strong foundation in the basics and fundamentals of Multivariate Data Analysis (MVA) and Design of Experiments (DoE) The course combines theoretical studies and practical workshops, ensuring that each participant gets individual focus, and understands the practical uses of MVA & DoE applications in R&D, Product Development, PAT, more...

Design of Experiments : Statistics : Advanced Training Course Experimental Design Statistic Apart from an Introduction to the Design of Experiments, this training session focuses on the design and the analysis of highly complex experimental designs. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, repeated measures , etc. Their design and analysis will be more...

Design of Experiments for Injection Molding Injection molders must be able to quickly identify the optimal setpoints for molding process variables in order to meet customer performance requirements for dimensions and part appearance. The complexity of this task grows exponentially as the number of customer critical characteristics increases. Trial and error approaches are highly inefficient in these situations. Simple experimental design more...

Design of Experiments - Public Seminar ...to conduct tests when applying the powerful approaches of DOE. Efficient and effective application of experimental design require a blending of key skills. Knowledge of the relevant technologies, team communication skills, and some simple mathematical tools all come into play (in this session we rely upon the computer to crunch the numbers while we focus on interpretation of key graphics and more...

MINITAB & Statistical Analysis Training Consultancy offering data analysis and statistical support for quality and process improvement efforts. Exsilon offers a comprehensive MINITAB and statistical training curriculum in San Francisco. more...

Design of Experiments training ...DOE Basic) emphasizes the 2-Step Optimization of first reducing variation, and then, adjusting to target performance in processes and products. This course is designed on a take-back-and-do approach. The course keeps statistics to the minimum and practical aspects to the maximum so that even engineers with little mathematics can understand. Delegates should see immediate applications to improve more...

Advanced Experimental Designs This course covers the fundamental concepts in statistics in a non-technical and applied way. This session focuses on the design and the analysis of more complex experimental designs than those seen in the Introduction to the Design of Experiments course. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, more...

Multivariate Data Analysis Introduction to multivariate data modeling When are multivariate methods useful? Principles and applications of: Principal Component Analysis (PCA) Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS) Relevant data collection Multivariate modeling step by step Pretreatment and scaling Detecting and dealing with more...

Unleash Your Productivity The concept of productivity has undergone a sea change with better understanding of interdependence. Linking the personal productivity to organisational goals is of paramount importance. The improvement methodologies, already in use at organisational stage, have a lot of hidden learning related to personal & organisational productivity. more...

Design Of Exprements( DOE) DOE is a simple yet effective problem solving methodology. It can be applied to problem resolution & also to problem prevention. DOE supports quality improvement initiatives from primitive to world-class quality levels. more...