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Multivariate Analysis Consultant Course
Sharpen your statistics skills with our Multivariate Analysis Consultant Training, tailored for professionals who want to master advanced data analysis methods. Dig deep into Principal Component Analysis, learn to visualise data using plots like discriminant function plots and dendrograms, and improve your abilities in discriminant and cluster analysis. You'll learn important data preparation techniques, and how to share what you find through clear reports. This training gives you useful, top-quality knowledge to boost your analysis power and your career.
- Master PCA: Reduce data size and understand principal components well-well.
- Visualize Data: Make scree plots, dendrograms, and discriminant function plots.
- Conduct Discriminant Analysis: Build models that can predict things and check how correct they are.
- Preprocess Data: Sort out your data by normalizing it, encoding variables and dealing with missing information properly.
- Communicate Insights: Put reports together and explain your findings with strong pictures and graphs.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Sharpen your statistics skills with our Multivariate Analysis Consultant Training, tailored for professionals who want to master advanced data analysis methods. Dig deep into Principal Component Analysis, learn to visualise data using plots like discriminant function plots and dendrograms, and improve your abilities in discriminant and cluster analysis. You'll learn important data preparation techniques, and how to share what you find through clear reports. This training gives you useful, top-quality knowledge to boost your analysis power and your career.
Elevify advantages
Develop skills
- Master PCA: Reduce data size and understand principal components well-well.
- Visualize Data: Make scree plots, dendrograms, and discriminant function plots.
- Conduct Discriminant Analysis: Build models that can predict things and check how correct they are.
- Preprocess Data: Sort out your data by normalizing it, encoding variables and dealing with missing information properly.
- Communicate Insights: Put reports together and explain your findings with strong pictures and graphs.
Suggested summary
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