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Multivariate Analysis Consultant Course
Improve your statistical skills with our Multivariate Analysis Consultant Training. This training is made for professionals who want to learn advanced ways of looking at data. You will learn Principal Component Analysis, different ways to show data like discriminant function plots and dendrograms, and how to use discriminant and cluster analysis well. You'll also learn how to prepare data properly and explain what you find in reports that are easy to understand. This training gives you practical, good quality lessons to make you a better analyst and help you in your job.
- Master PCA: Learn how to make data smaller and understand the main parts properly.
- Visualize Data: Make scree plots, dendrograms, and discriminant function plots to show data clearly.
- Conduct Discriminant Analysis: Create models that can predict things and check if they are correct.
- Preprocess Data: Clean data by normalizing it, encoding variables, and dealing with missing information well.
- Communicate Insights: Write reports in a clear way and use pictures to show what you have found so people can understand.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your statistical skills with our Multivariate Analysis Consultant Training. This training is made for professionals who want to learn advanced ways of looking at data. You will learn Principal Component Analysis, different ways to show data like discriminant function plots and dendrograms, and how to use discriminant and cluster analysis well. You'll also learn how to prepare data properly and explain what you find in reports that are easy to understand. This training gives you practical, good quality lessons to make you a better analyst and help you in your job.
Elevify advantages
Develop skills
- Master PCA: Learn how to make data smaller and understand the main parts properly.
- Visualize Data: Make scree plots, dendrograms, and discriminant function plots to show data clearly.
- Conduct Discriminant Analysis: Create models that can predict things and check if they are correct.
- Preprocess Data: Clean data by normalizing it, encoding variables, and dealing with missing information well.
- Communicate Insights: Write reports in a clear way and use pictures to show what you have found so people can understand.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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