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Provided by: Creascience Multivariate Data Analysis SchoolStatistics |
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The 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. Lots of time for hands-on!
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Training
Provided by Creascience
- K asked: I'd like info about the summer stats programs: Date? Cost? Social science research relevant? (I study nonprofit organizations) Thanks!
- H asked: I am an Ethiopian young researcher on Tef(Eragrostis tef),our staple cereal and I am conducting research on genetic diversity of landrace lines. For my data analysis to be efficient, multivariate analysis techniques are vital. So ,this is to politely request if I can participate in this training. Sincerely,
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- D asked: Dear, May I know what statistic software package that used in this training? Thank you
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Multivariate Data Analysis School
Hands-on Exercises and Statistical Software
Hands-on exercises can be carried out using your own statistical software.
Participants are encouraged to bring their own laptop and their favorite statistical software to fully harness the power of multivariate data analysis techniques. Assistance During the Exercices and the Use of Statistical Software
Experienced instructors will be there to assist you. Each instructor has at least 15 years experience with most commonly used statistical software. Examples and Applications
Examples and applications are taken from various fields: life sciences, social sciences, marketing, business, biotechnology, etc. If you wish, you may bring along your own datasets to work on during the summer school.
- A General Overview of Multivariate Methods
- Why Use Multivariate Methods?
- What Information Do They Convey?
- What Type of Data is Required?
- Basic Ideas and Concepts Underlying Multivariate Statistics
- Definition of Objects, Variables, Types of Variables, Distances or Similarity between Objects and Variables
- The following multivariate methods will be covered:
- Principal Component Analysis
- Factor Analysis
- Correspondence Analysis
- Discriminant Analysis
- Cluster Analysis
- Canonical Correlation
- Partial Least Squares Regression
Hands-on exercises can be carried out using your own statistical software.
Participants are encouraged to bring their own laptop and their favorite statistical software to fully harness the power of multivariate data analysis techniques.
Experienced instructors will be there to assist you. Each instructor has at least 15 years experience with most commonly used statistical software.
Examples and applications are taken from various fields: life sciences, social sciences, marketing, business, biotechnology, etc. If you wish, you may bring along your own datasets to work on during the summer school.
About The Training Provider: Creascience
Creascience - Creascience offers a wide array of training sessions in statistics aimed primarily at non-statisticians. We also provide specific training courses on statistical methods aimed at statisticians. People attend our training sessions to gain basic knowledge or to deepen some specific aspects. The training sessions are offered both in our offices and on-site, depending on the needs of the client. We...
