Creascience Newsletter

Introduction to Statistics & DOE in San Francisco

Mon, 06 Aug 2007 13:20:00 GMT

Introduction to Statistics and Introduction to DOE in San Francisco in October

Creascience will be offering its popular 3-day Fundamentals of Design of Experiments (DOE). This session will take place from October 22 to 24 at the AMA Management Centre located in the San Francisco Marriott Hotel. It consists of two independent workshops that can either be attended separately or as a whole.

The first one-day workshop, Fundamental Tools in Statistics covers the fundamental principles and concepts in statistics as well as classical and more recent exploratory data analysis (EDA) techniques to describe data with numerical and graphical tools. The various uses of these methods like outlier detection are presented. With the help of real-life examples the principles underlying statistical testing and decision-making in the presence of uncertainty. It covers risks involved (alpha and beta), p-values and statistical significance. The use and interpretation of confidence intervals are also discussed.
This course can serve as an introductory class or a refresher and provides a solid basis for all other courses. Get more info and register.

The second two-day hands-on workshop, Introduction to DOE, presents classical techniques to design efficient experiments and tools to analyze the collected data. The principles of sample size calculations, strategies to remove and contrundesirable sources of variability like the use of blocks and controls, as well as the most commonly used experimental designs are discussed. The statistical analysis of designed experiments is progressively introduced, starting with the t-test method used to compare two groups. Then, the analysis of variance technique (ANOVA) is extensively covered from simple one-factor experiments to more advanced multi-factor situations where the interaction between factors needs to be considered. Multiple comparisons techniques used to locate differences are also presented. Get more info and to register.

Upcoming Sessions

Design & Analysis of Shelf-Life & Stability Studies

Location: San Francisco
Date: October 25, 2007

Multivariate Techniques for Sensory and Consumer Studies

Location: Chicago
Date: December 5-7, 2007

Multivariate Data Analysis School

Location: San Francisco
Date: January 14-18, 2008

Fundamental Tools in Statistics

Location: San Francisco
Date: January 22, 2008

Modeling Techniques: Linear, Logistic and PLS Regression

Location: San Francisco
Date: January 23-25, 2008

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Multivariate Data Analysis Summer School - 2007 Edition

Tue, 27 Feb 2007 03:36:00 GMT

2007 Edition of the Multivariate Data Analysis School

For the fourth consecutive year, we are proud to invite you to attend our multivariate data analysis school. This year, the English language session has been scheduled in Montreal from June 18 to 22, 2007.

Targeted toward non-statisticians utilizing statistical methods - researchers, business analysts, graduate students - and statisticians interested in an applied workshop, this 5-day course focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis. Applications in a variety of fields are presented (business, marketing, R&D) and related methods specific to these fields are also discussed.

The format of our school is unique in many regards:

Emphasis is put on the objectives of methods, their underlying assumptions and the interpretation of results
A special attention is paid to the generation and interpretation of computer output
Participants may use their own data for exercises
Participants are invited to use their own software. Featured software include SAS, SPSS, Statistica, Minitab, S-Plus, JMP and XLStat*. The workshop also provides an opportunity to compare these packages.
Experienced instructors share their knowledge in applying these methods and suggest many original applications.
Basic ideas and concepts of statistics and statistical thinking are introduced, explained, and connected with contemporary applications of statistical methods

Follow this link to get more details on this session, including the course outline, the registration fees, the number of seats left and to register to the workshop. This web page also provides feedback from previous attendees. Do not hesitate to contact us for any question you might have.

*If you are using another software package and want to attend the training session, please contact us..

Upcoming sessions

Analysis of Variance

Location: Montreal
Date: March 5, 2007

The focus of this one-day workshop is to present the available tools to compare two groups or more on a continuous or quantitative measurement variable. In the simplest situation where two groups need to be compared, the classical Student test (or t-test) is first covered. More complex cases are then discussed: the t-test to compare two related samples, the one-way ANOVA, and ANOVA for several factors and interactions. Moreover, multiple comparisons techniques are discussed to locate group differences. Throughout the session, emphasis is put on the conditions of use for each technique, the type of results obtained and their interpretation. A variety of case studies are used to exemplify situations likely to occur in practice, the typical problems and remedial measures.

Get more info and register.

Design & Analysis of Shelf-Life & Stability Studies

Location: Chicago, USA
Date: May 21, 2007

This one-day workshop uses a variety of case studies to present the most important aspects to consider for a sound determination of product shelf life.
Starting from the assessment of the differences between shelf-life and stability studies, participants learn for each type of study how to design efficient experiments to determine the failure time of products accurately. The issues discussed include the timepoint selection, how to handle destructive testing, the experiment size and the choice of samples.
The workshop also emphasizes the appropriate ways to analyze life data and to adequately interpret and communicate the results obtained. The principle of accelerated shelf-life testing (ASLT) along with the conditions for a successful use are discussed.

Get more info and register.

Fundamental Tools in Statistics

Location: Chicago, USA
Date: May 22, 2007

This 1-day hands-on workshop offers an introduction to the fundamental principles and concepts in statistics.
The first part covers classical and more recent exploratory data analysis (EDA) techniques to describe data with numerical and graphical tools. The various uses of these methods like outlier detection is presented. The second part addresses, with the help of real-life examples, the principles underlying statistical testing and decision-making in the presence of uncertainty. It covers risks involved (alpha and beta), p-values and statistical significance. The use and interpretation of confidence intervals are also discussed.
This course can serve as an introductory class or a refresher and provides a solid basis for all other courses.

Get more info and register.

Introduction to the Design of Experiments

Location: Chicago, USA
Date: May 23-24, 2007

This 2-day hands-on workshop presents classical techniques to design efficient experiments as well as the tools to analyze their results. The principles of sample size calculations, strategies to remove undesirable sources of variability like the use of blocks and controls, as well as the most commonly used experimental designs are discussed. The statistical analysis of designed experiments is progressively introduced, starting with the t-test method used to compare two groups. Then, the analysis of variance technique (ANOVA) is extensively covered from simple one-factor experiments to more advanced multi-factor situations where the interaction between factors needs to be considered. Multiple comparisons techniques used to locate differences are also presented.

Get more info and register.

Subscribe to Creascience Newsletter via email by entering your email address below:

Multivariate Data Analysis Summer School - 2007 Edition

Tue, 27 Feb 2007 03:36:00 GMT

2007 Edition of the Multivariate Data Analysis School

The format of our school is unique in many regards:

Emphasis is put on the objectives of methods, their underlying assumptions and the interpretation of results
A special attention is paid to the generation and interpretation of computer output
Participants may use their own data for exercises
Participants are invited to use their own software. Featured software include SAS, SPSS, Statistica, Minitab, S-Plus, JMP and XLStat*. The workshop also provides an opportunity to compare these packages.
Experienced instructors share their knowledge in applying these methods and suggest many original applications.
Basic ideas and concepts of statistics and statistical thinking are introduced, explained, and connected with contemporary applications of statistical methods

*If you are using another software package and want to attend the training session, please contact us..

Upcoming sessions

Analysis of Variance

Location: Montreal
Date: March 5, 2007

Get more info and register.

Design & Analysis of Shelf-Life & Stability Studies

Location: Chicago, USA
Date: May 21, 2007

Get more info and register.

Fundamental Tools in Statistics

Location: Chicago, USA
Date: May 22, 2007

Get more info and register.

Introduction to the Design of Experiments

Location: Chicago, USA
Date: May 23-24, 2007

Get more info and register.

Subscribe to Creascience Newsletter via email by entering your email address below:

Applied Workshops in Statistics in San Francisco

Wed, 13 Aug 2008 16:52:00 GMT

Welcome to the August edition of Creascience's e-newsletter and the latest information about our upcoming public sessions in applied statistics. We are proud to announce two new training sessions: A 1-day workshop 'Exploratory Data Analysis - Understanding your data through the use of graphics" and a 3-day workshop on "Spatial statistics".

Exploratory Data Analysis � Understanding Your Data through the Use of Graphics
Displaying and graphing are becoming a fundamental part of data analysis. Visualization is used in initial data inspection and exploration, model building and validation, as well as communicating results. Graphical techniques are thus central to the process of extracting knowledge from information. This one-day course will provide the practitioner/data analyst with the graphics and plotting procedures required to effectively explore data sets and to help reveal their underlying structure.
Location: San Francisco Marriott
Date: October 28, 2008
http://training.creascience.com/exploratory-data-analysis-with-graphics-p-326.html

Spatial Statistics
Spatial statistics is the application of statistical theory and techniques to the description and modelling of spatial referenced data.
The analysis and modeling of spatial data is the focus of this three-day course with a strong emphasis on the �hands-on� application of data utilizing spatial statistical techniques, which are discussed in class. Also, participants may want to work on their own data sets during the course.
Location: San Francisco Marriott
Date: October 29-31, 2008
http://training.creascience.com/spatial-statistics-p-334.html

Efficient Design and Analysis of Shelf-Life and Stability Studies
This popular 1-day workshop Efficient Design & Analysis of Shelf-Life & Stability Studies will use a variety of case studies to present the most important aspects to consider for a sound determination of product shelf-life or stability. Starting from the assessment of the differences between shelf-life and stability studies, participants will learn for each type of study how to design efficient experiments to determine the failure time of products accurately. The issues discussed will include the timepoint selection, how to handle destructive testing, the experiment size and the choice of samples. The workshop will also emphasize the appropriate ways to analyze life data and to adequately interpret and communicate the results obtained. The principle of accelerated shelf-life testing (ASLT) along with the conditions for a successful use will be discussed.
Location: San Francisco Marriott
Date: October 30, 2008
http://training.creascience.com/shelflife-stability-p-34.html

Other Upcoming Sessions

Fundamental Tools in Statistics
Location: San Francisco Marriott
Date: October 27, 2008
http://training.creascience.com/fundamental-tools-statistics-p-149.html

Introduction to the Design of Experiments (DOE)
Location: San Francisco Marriott
Date: October 28-29, 2008
http://training.creascience.com/introduction-design-experiments-p-40.html

Multivariate Data Analysis School
Location: San Francisco Marriott
Date: January 12-16, 2009
http://training.creascience.com/multivariate-analysis-school-p-87.html

Thank you for your interest in our applied training sessions in statistics. We look forward to meeting you!
Creascience Team

Creascience
www.creascience.com
http://training.creascience.com

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Multivariate Data Analysis School/Summer Edition - New Session on Data Exploration and Visualization

Thu, 27 Mar 2008 10:36:00 GMT

Welcome to the March edition of Creascience's e-newsletter.

Creascience will be offering its popular 5-day Multivariate Data Analysis School, June 16-20 in Montreal, Canada.

Targeted toward non-statisticians utilizing statistical methods - researchers, scientists, business analysts,
graduate students - and statisticians interested in an applied workshop, this 5-day course focuses on the
practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA),
Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis, and Canonical Analysis.
Applications in a variety of fields are presented (business, marketing, R&D) and related methods specific to
these fields are also discussed.

The format of our school is unique in many regards:

- Emphasis is put on the objectives of methods, their underlying assumptions and the interpretation of results.
- Basic ideas and concepts of statistics and statistical thinking are introduced, explained, and connected with
contemporary applications of statistical methods.
- Special attention is paid to the generation and interpretation of computer output.
- Half of the time is devoted to hands-on applications, results interpretation and group discussions.
- Participants are strongly encouraged to use their own data for applications.
- Participants are also invited to use their own software. Featured software include SAS, SPSS, Statistica, Minitab,
- S-Plus, JMP and XLStat* (* If you use another software, please contact us.). The workshop actually provides a nice opportunity to compare these packages.
- Experienced instructors share their knowledge in applying these methods and suggest many original applications.
- Last but not least, small class size allows all participants to get the attention they need and ask all the questions they want.

Follow this link to get more information - detailed course outline, past participants feedback, etc.- and to register
(take advantage of the early bird registration!).
http://training.creascience.com/multivariate-analysis-school-p-87.html

New Session on Exploratory Data Analysis and Data Visualization: June 13 in Montreal, Canada - October 21 in San Francisco, USA
We are awash in an ocean of information! Displaying and graphing are becoming a fundamental part of data analysis. Visualization is used in initial data inspection and exploration, model building and validation, as well as communicating results. This one-day course will provide the practitioner/data analyst with the graphics and plotting procedures required to effectively explore data sets and to help reveal their underlying structure. It will focus on the most recent techniques and computing tools.
Follow this link to get more information - detailed course outline, and to register
(take advantage of the early bird registration!).
http://training.creascience.com/exploratory-data-analysis-with-graphics-p-326.html

Other Upcoming Sessions
Fundamental Tools in Statistics
Location: Chicago
Date: May 19, 2008
http://training.creascience.com/fundamental-tools-statistics-p-149.html

Introduction to the Design of Experiments (DOE)
Location: Chicago
Date: May 20-21, 2008
http://training.creascience.com/introduction-design-experiments-p-40.html

Thank you for your interest in our applied training sessions in statistics. For more information on other training courses, in-house training and tutoring services, please visit http://training.creascience.com/
We look forward to meeting you!
The Creascience Team

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Creascience Newsletter Message

Fri, 16 Nov 2007 01:06:00 GMT

Untitled Document Creascience Newsletter

Creascience Newsletter

Applied Workshops in Statistics in Chicago

Creascience will be offering three of its most popular applied workshops, February 19-22 2008 at the Chicago Executive Conference Center which is conveniently located ten minutes away from the Chicago's O'Hare International Airport and is adjacent to the Marriott O'Hare Hotel.

On February 19 the 1-day workshop Efficient Design & Analysis of Shelf-Life & Stability Studies will use a variety of case studies to present the most important aspects to consider for a sound determination of product shelf-life or stability. Starting from the assessment of the differences between shelf-life and stability studies, participants will learn for each type of study how to design efficient experiments to determine the failure time of products accurately. The issues discussed will include the timepoint selection, how to handle destructive testing, the experiment size and the choice of samples. The workshop will also emphasize the appropriate ways to analyze life data and to adequately interpret and communicate the results obtained. The principle of accelerated shelf-life testing (ASLT) along with the conditions for a successful use will be discussed. For more information and to register .

On February 20 the 1-day hands-on workshop Fundamental Tools in Statistics will cover the fundamental principles and concepts in statistics as well as classical and more recent exploratory data analysis (EDA) techniques to describe data with numerical and graphical tools. The various uses of these methods like outlier detection will be presented. With the help of real-life examples the principles underlying statistical testing and decision-making in the presence of uncertainty will be reviewed. The workshop will also cover risks involved (alpha and beta), p-values and statistical significance. The use and interpretation of confidence intervals will also be discussed.
For more information and to register.

On February 21-22 the 2-day hands-on workshop Introduction to DOE will present classical techniques to design efficient experiments and tools to analyze the collected data. The principles of sample size calculations, strategies to remove and control undesirable sources of variability like the use of blocks and controls, as well as the most commonly used experimental designs will be discussed. The statistical analysis of designed experiments will be progressively introduced, starting with the t-test method used to compare two groups. Then, the analysis of variance technique (ANOVA) will be extensively covered from simple one-factor experiments to more advanced multi-factor situations where the interaction between factors needs to be considered. Multiple comparisons techniques used to locate differences will also be presented. For more information and to register.

Other Upcoming Sessions

Multivariate Data Analysis School (only a few seats left!)

Location: San Francisco
Date: Jan 14-18, 2008

Simple and Multiple Linear Regression Techniques

Location: San Francisco
Date: January 23, 2008

Regression Models for Categorical Data

Location: San Francisco
Date: January 24, 2008

Regression on Principal Components and PLS Regression

Location: San Francisco
Date: January 25, 2008

Si vous d�sirez recevoir les informations en français, cliquez sur le lien suivant: Français
To unsubscribe from: Creascience Newsletter, just follow this link:
http://www.creascience.com/cgi-bin/dada/mail.cgi/u/CreaNews/
Click this link, or copy and paste the address into your browser

Other Sessions
Our training catalog contains more than 30 different topics in applied statistics. Click the following link to start exploring it: Catalog To access a complete calendar of other upcoming sessions, follow this link: Calendar
Onsite Training
All our sessions are offered onsite for a cost-effective and customized solution. Learn more about it by clicking on the following link: Onsite sessions
Tutoring Services
Want to learn at your own pace? We offer adapted tutoring and mentoring programs via our service The Virtual Statistician
Course Reviews
If you would like to read feedback from past participants, take a look at this page.

Subscribe to Creascience Newsletter via email by entering your email address below:

Multivariate Data Analysis: Winter Session in San Francisco

Thu, 20 Sep 2007 17:02:00 GMT

Creascience Newsletter

Multivariate Data Analysis School: Winter Session in San Francisco

Creascience will be offering its popular 5-day Multivariate Data Analysis School, January 14-18 at the AMA Management Centre located in the San Francisco Marriott Hotel.

Targeted toward non-statisticians utilizing statistical methods - researchers, scientists, business analysts, graduate students - and statisticians interested in an applied workshop, this 5-day course focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis. Applications in a variety of fields are presented (business, marketing, R&D) and related methods specific to these fields are also discussed.

The format of our school is unique in many regards:

Emphasis is put on the objectives of methods, their underlying assumptions and the interpretation of results.

Basic ideas and concepts of statistics and statistical thinking are introduced, explained, and connected with contemporary applications of statistical methods.

Special attention is paid to the generation and interpretation of computer output.

50% of the time is devoted to hands-on applications, results interpretation and group discussions.

Participants are strongly encouraged to use their own data for applications.

Participants are invited to use their own software. Featured software include SAS, SPSS, Statistica, Minitab, S-Plus, JMP and XLStat*. The workshop also provides a nice opportunity to compare these packages.

Experienced instructors share their knowledge in applying these methods and suggest many original applications.

Small class size allows all participants to get the attention they need and ask all the questions they want. * If you use another software, please contact us.

Follow this link to get more information - detailed course outline, past participants feedback, etc.- and to register.

Other Upcoming Sessions

Fundamental Tools in Statistics

Location: San Francisco
Date: October 22, 2007

Introduction to the Design of Experiments (DOE)

Location: San Francisco
Date: October 23-24, 2007

Simple and Multiple Linear Regression Techniques

Location: San Francisco
Date: January 23, 2008

Regression Models for Categorical Data

Location: San Francisco
Date: January 24, 2008

Regression on Principal Components and PLS Regression

Location: San Francisco
Date: January 25, 2008

Other Sessions
Our training catalog contains more than 30 different topics in applied statistics. Click the following link to start exploring it: Catalog To access a complete calendar of other upcoming sessions, follow this link: Calendar
Onsite Training
All our sessions are offered onsite for a cost-effective and customized solution. Learn more about it by clicking on the following link: Onsite sessions
Tutoring Services
Want to learn at your own pace? We offer adapted tutoring and mentoring programs via our service The Virtual Statistician
Course Reviews
If you would like to read feedback from past participants, take a look at this page.

Subscribe to Creascience Newsletter via email by entering your email address below:

Applied Training Sessions in Statistics on the West Coast

Wed, 25 Oct 2006 04:00:00 GMT

Creascience is offering some of its most popular sessions in January 2007 in San Francisco.

Fundamental Tools in Statistics

Location: San Francisco, USA
Date: January 16, 2007

This 1-day hands-on workshop offers an introduction to the fundamental principles and concepts in statistics.
The first part covers classical and more recent exploratory data analysis (EDA) techniques to describe data with numerical and graphical tools. The various uses of these methods like outlier detection is presented. The second part addresses, with the help of real-life examples, the principles underlying statistical testing and decision-making in the presence of uncertainty. It covers risks involved (alpha and beta), p-values and statistical significance. The use and interpretation of confidence intervals is also discussed.
This course can serve as an introductory class or a refresher and provides a solid basis for all other courses.

Get more info and register.

Introduction to the Design of Experiments

Location: San Francisco, USA
Date: January 17-18, 2007

Get more info and register.

Design & Analysis of Shelf-Life & Stability Studies

Location: San Francisco, USA
Date: January 19, 2007

This 1-day workshop uses a variety of case studies to present the most important aspects to consider for a sound determination of product shelf life.
Starting from the assessment of the differences between shelf-life and stability studies, participants learn for each type of study how to design efficient experiments to determine the failure time of products accurately. The issues discussed include the timepoint selection, how to handle destructive testing, the experiment size and the choice of samples.
The workshop also emphasizes the appropriate ways to analyze life data and to adequately interpret and communicate the results obtained. The principle of accelerated shelf-life testing (ASLT) along with the conditions for a successful use are discussed.

Get more info and register.

Multivariate Data Analysis School

Location: San Francisco, USA
Date: January 22-26, 2007

This 5-day workshop is targeted toward non-statisticians utilizing statistical methods and statisticians interested in the practical aspects and applications of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Correlation Analysis.
During the workshop, emphasis is put on the principles and the conditions of utilization of each method, the results they provide and their interpretation. Plenty of time is devoted to case studies and interpretation of software output. Participants are invited to use their own statistical software with the instructors' guidance. They are also encouraged to use their data for the hands-on exercises.

Get more info and register.

Subscribe to Creascience Newsletter via email by entering your email address below:

Featured Applied Statistics Sessions for September and October

Thu, 24 Aug 2006 20:31:00 GMT

In this Edition :

Introduction to the Design of Experiments in Boston

Extra Edition of the Multivariate Data Analysis School in Montreal

New! Pay Your Registration Fees by Credit Card

Introduction to the Design of Experiments in Boston

Creascience is offering its popular 3-day workshop for the second time this year in Boston.The workshop consists of two parts. The first one reviews the Fundamental Tools in Statistics and the second one deals with the Introduction the Design of Experiments.

Fundamental Tools in Statistics
Exploratory Data Analysis (EDA)
Learn the importance EDA to get a feel for your data, to detect trends, outliers and errors. This workshop describes numerical and graphical tools to easily perform EDA on your data.
Statistical Testing
Learn the strategy involved in statistical testing and the risks involved in such a procedure. This workshop explains hypothesis testing , alpha and beta risks, p-values and confidence intervals in laymens terms with the help of several applications.

Introduction the Design of Experiments
Experimental Design Construction
During the workshop participants will learn how to construct efficient experiments to compare two or more groups, conditions, interventions. Emphasis will be put on the effects and ways of controlling different sources of variability.
Principle Underlying Sample Size Calculations
This workshop will present the elements needed in order to determine the optimal number of observations to have in each group. Numerical applications and case studies will be presented, analyzed and discussed.
Statistical Analysis of Designed Experiments
Participants will also learn how to analyze data collected in such experiments. Starting from two groups using the t test (Student) to multi-way analysis of variance (ANOVA) to compare more than two groups or several factors. Moreover, the principle underlying multiple means comparison techniques used to locate differences detected by ANOVA will also be covered.

When: September 18-20, 2006
Where: Batterymarch Conference Center
60 Batterymarch Street
Boston, MA 02110
More Information on the Course Venue
Click here for Pricing Information and to Register

Note that you can register to each course independently or in combination.

Extra Edition of the Multivariate Data Analysis School in Montreal

Targeted toward non-statisticians utilizing statistical methods - researchers, business analysts, graduate students and statisticians - interested in an applied workshop, this 5-day course, offered in English, focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis. Since it was first introduced two years ago, this workshop has been bery popular with participants from all over the world.

The format of our school is unique in many regards:

Emphasis on objectives, assumptions and interpretation of results
Special attention to the interpretation of computer output
Participants may use their own data for exercises
Featured software: SAS, SPSS, Statistica, Minitab, S-Plus, JMP and XLStat*
Experienced instructors
Basic ideas and concepts of statistics and statistical thinking are introduced, explained, and connected with contemporary applications of statistical methods

*If you use another software and you are interested in attending the school, please contact us.

If you would like to know what former participants thought of the Multivariate Data Analysis School, take a look at some comments from attendees.

When: October 8-13, 2006
Where: LIAISONS Business Centre
1010 Sherbrooke St. W., Suite 1800
Montreal, Quebec, Canada
More Information on the Course Venue.
Click here for Pricing Information and to Register

New! Pay Your Registration Fees by Credit Card

For more convenience, we are pleased to inform you that we now accept credit card payments through our web site. To use this form of payment, select credit card as the payment method when you register and follow the instructions.

Other training sessions are scheduled this fall. Click on calendar to view them. Also note that all our training courses are available on-site.

Si vous d�sirez recevoir les informations en français, cliquez sur le lien suivant: Français
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Shelf-Life and Stability Studies Workshops

Wed, 08 Mar 2006 20:21:00 GMT

Shelf-Life and Stability Studies Workshops this Spring

This spring, Creascience will be offering 4 sessions of its popular workshop "Efficient Design and Analysis of Shelf-Life and Stability Studies" in North America and Australia:

April 24, Toronto, Canada*
May 12, Melbourne, Australia
May 26, Chicago, USA
June 12, San Francisco, USA

*This session will take place the day before the opening of the ASTM E18 committee meeting.

Shelf-life and stability studies are costly and time-consuming to carry out. Moreover, they require specific tools both for designing and analyzing them. The course provides you with a description of this unique type of data and analysis, the tools that can and cannot be used and the reasons why, how to best analyze life data and how to properly interpret and communicate the results obtained. Special emphasis is put on the practical application of the techniques for shelf-life studies by means of examples and discussions.

Covered Topics and Learning Objectives

Upon completion of this training course, participants will have learned:

The difference between shelf-life and stability testing
The tools available to define shelf-life in a specific context
The specific features of life data
The key issues in the design of this type of studies: competing risks, desctructive testing, etc.
Which statistical analysis techniques adapted to life data are available
How to interpret results and what the scope of these results are
The opportunities and limitations related to accelerated testing

Throughout the session, FDA and other existing guidelines will be presented and discussed.

Target Audience and Course Format

The course is primarily aimed at people who work in the food industry and biotechs and have to determine the stability and/or shelf life of their products. No background in statistics is required.
As with all our other training sessions, emphasis is put on concepts and major issues that need to be addressed, in order to provide the participants with a practical knowledge of the subject matter and tools they can direct apply.

Additional Information and Registration

To download the course outline, take a peek at comments from past participants and to register, please go to Efficient Design and Analysis of Shelf-Life and Stabiliity Studies. Of course, do not hesitate to contact us should you have any question.

Other Upcoming Sessions

There are only a few seats left for the English session of our Multivariate Data Analysis Summer School. If you plan to attend, please let us know ASAP.
Sessions on introductory statistics, design of experiments and modeling techniques are also available and we have started to set dates for next Fall. Consult our training calendar to learn more.

Si vous d�sirez recevoir les informations en français, cliquez sur le lien suivant: Français
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2006 Multivariate Data Analysis Summer School

Thu, 16 Feb 2006 02:20:00 GMT

Third Edition of the Multivariate Data Analysis Summer School

Following the success of previous years, Creascience is happy to invite you to the 2006 edition of our Multivariate Data Analysis Summer School. The 5-day training session covers the practical aspects of the most commonly used multivariate methods: principal component analysis - PCA, factor analysis, correspondence analysis, cluster analysis, discriminant and canonical analysis.

The English edition will be held June 25 to June 30, 2006 in Montreal, Quebec, Canada. Two editions will also be held in French in June and August.

To learn everything on the summer school, click on the following links :

Target Audience
Learning Objectives
Covered Topics and Course Outline
Format of the Summer School
What Past Participants Think of the Summer School
Levelling Your Statistical Knowledge
Other Upcoming Sessions
To Register

Target Audience

The 5-day course covers the practical aspects of the most commonly used multivariate methods and is aimed at:

Non-statisticians who use statistical tools - researchers, scientists, business analysts, engineers, graduate students, etc.
Statisticians who are looking for an applied workshop and who wish to develop their practical knowledge of multivariate tools

Learning Objectives

Upon completion of this course participants will be able to :

Determine which multivariate statistical methods can be used for a given study objective
Choose the most appropriate multivariate technique for their data
Perform the analysis using their own software
Extract the pertinent or relevant information from the output provided by the software
Interpret the numerical and graphical results
Summarize and communicate the findings

Covered Topics and Course Outline

This 5-day training course presents the most popular multivariate data analysis methods. A multitude of multivariate techniques exist and have been developed by several different fields of application: chemometrics, psychology, social sciences, sensometrics,…

The course begins with a brief presentation of multivariate techniques, their place among other statistical analysis methods and their historical development.

Each of the following multivariate methods is then presented in detail:

Principal Component Analysis
Factor Analysis
Correspondence Analysis
Discriminant Analysis
Cluster Analysis
Canonical Correlation Analysis

Throughout the training, emphasis is placed on the purpose, the advantages and disadvantages of each method. Moreover, the type of data required for a given method, the approach taken and the type of results that can be obtained are outlined using examples from several fields of applications. The strengths, weaknesses and limitations of each of these methods are also discussed.

To display and to save the detailed course outline of the multivariate data analysis summer school, please follow this link : Course Outline

Summer School Format

The format of our summer school is unique in many regards:

Emphasis is put on objectives, assumptions and interpretation of results instead of mathematical aspects
Special attention is paid to the interpretation of computer output
Participants are encouraged to use their own statistical software and data for exercises
Our very low students to instructors ratio ensures a highly personalised assistance
About 50% of the time is devoted to applications and results interpretation to maximize learning
Detailed course notes, computer programs and sample data are provided

The mechanism underlying each method is presented through the use of numerical applications from several fields of science. Concepts related to graphical output available for each method, the interpretation of results are covered in depth to allow participants to perform multivariate data analysis.
For each method covered during the week, hands-on workshops are provided to give participants the opportunity to assimilate the tools learned using their own statistical package as well as their own datasets.This ensures the direct application of these powerful multivariate methods to each individual research problem, enabling participants to extract the most knowledge from the training.

Featured software: SAS, SPSS, Statistica, Minitab, S-Plus, JMP and XLStat*

*If you use another software and you are interested in attending the summer school, please contact us.

What Past Participants Think of the Summer School

Perhaps you want to look at some comments from past attendees. To take a peek at reviews for the last two years (French or English Editions), please go the following link: Reviews of the Multivariate Data Analysis Summer School

Levelling Your Statistical Knowledge

Looking for a refresher in statistics before attending the summer school? Starting this year, in order to help you make the most of the summer school, Creascience offers an optional course on Friday, June the 23rd. The Fundamental Tools in Statistics session is of one of our most popular courses and an excellent refresher for both beginners and regular users of statistical methods.

Other Upcoming Sessions

Our spring 2006 calendar is now available. Various sessions including some on the design of experiments and on regression techniques are offered. Also note a special edition of our "Shelf Life and Stability Studies" training to be held in Toronto in April, just before the Spring ASTM meeting.

Moreover, all our training sessions are also offered in-house. Contact us to learn more.

Additional Information & Registration

For more information, do not hesitate to contact us by phone at (514) 840-9220. Online registration is available. Just click on the Multivariate Data Analysis Summer School Information Page .

Please note that the number of seats is limited and that an early bird fee is available until April 15, 2006. Register early if you are planning on attending.

Si vous d�sirez recevoir les informations en français, cliquez sur le lien suivant: Français
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