Course Outline
Introductie
Cluster Analyse
- Wat is clusteranalyse?
- Typen clustertypen
Clusteranalyse vervolgd
- Clusteranalyse versus objectsegmentatie
- Hiërarchische versus niet-hiërarchische clustering
Voorbereiding van de ontwikkelingsomgeving
- Installeren en configureren SAS
- R installeren en configureren
Clusteranalyse met SAS
- Gegevens importeren
- Standaardiseren van data
- Hiërarchische clustering implementeren
- Output interpreteren
- Werken met K betekent clusteren voor niet-hiërarchische
- Output interpreteren
Clusteranalyse met R
- Hiërarchische clusteringfuncties gebruiken
- Werken met niet-hiërarchische clusterfuncties
Samenvatting en conclusie
Requirements
- Ervaring met R-programmeren
- SAS ervaring
Publiek
- Data-analisten
Getuigenissen (8)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Cursus - Introduction to Data Visualization with Tidyverse and R
De inhoud, want ik vond het erg interessant en denk dat het me zou helpen in mijn laatste jaar aan de universiteit.
Krishan - NBrown Group
Cursus - From Data to Decision with Big Data and Predictive Analytics
Machine Translated
very tailored to needs
Yashan Wang
Cursus - Data Mining with R
The trainer was so knowledgeable and included areas I was interested in
Mohamed Salama
Cursus - Data Mining & Machine Learning with R
Good real world examples, reviews of existing reports
Ronald Parrish
Cursus - Data Visualization
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Cursus - Data Science for Big Data Analytics
I learned a lot - not only in theoretical knowledge but I also applied that knowledge during the training and therefore I really understood what process mining is and how it works. Thanks a lot!
Julia Dörre - Techniker Krankenkasse
Cursus - Process Mining
how the trainor shows his knowledge in the subject he's teachign