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Data Mining with Weka
14 HoursSPSS Modeler
14 HoursData Mining with Excel
14 HoursCluster Analysis with R and SAS
14 HoursData Mining and Analysis
28 HoursData Mining
21 HoursData Mining with Python
14 HoursData Mining with R
14 HoursData Visualization
28 HoursData Science for Big Data Analytics
35 HoursFoundation R
7 HoursKNIME Analytics Platform for BI
21 HoursMATLAB for Financial Applications
21 HoursMonetDB
28 HoursIntroductory R for Biologists
28 HoursProcess Mining
21 HoursLast Updated:
Getuigenissen (9)
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Cursus - Data Vault: Building a Scalable Data Warehouse
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
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Cursus - KNIME Analytics Platform for BI
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Cursus - Data Science for Big Data Analytics
Ik voel me nu zelfverzekerder met coderen. Ik heb het nog nooit eerder gedaan, maar nu begrijp ik dat het geen rocket science is en dat ik het kan doen als het nodig is.
Anna - Birmingham City University
Cursus - Foundation R
Machine Translated
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
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Cursus - Data Visualization
Very tailored to needs.
Yashan Wang
Cursus - Data Mining with R
The trainer was so knowledgeable and included areas I was interested in.