NobleProg Grenoble, 34 avenue Felix Viallet, Grenoble, france, 38000
Grenoble, Centre Ville Proche Gare
Training courses can be organised at our premises in Grenoble, at your premises, or remotely.
Training courses are given in English or French. We organise a coordination meeting with the trainer and the participants to adapt the training program to your expectations. The courses consist of interactive discussions, theoretical parts and practical exercises.
The training is available as "live on-site training" or "live remote training". Live on-site training can be conducted locally at the client's premises in Grenoble or at the NobleProg corporate training centers in Grenoble.
Remote e-learning is conducted using an interactive desktop computer. NobleProg is the publisher of the DaDesktop software, which is presented in a video at https://www.dadesktop.com/
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Design for Six Sigma (DFSS)
21 HoursSix Sigma DMAIC Black Belt
21 HoursSix Sigma DMAIC Green Belt
21 HoursSix Sigma LEAN Yellow Belt
14 HoursSix Sigma LEAN Green Belt
21 HoursSix Sigma Yellow Belt
14 HoursSix Sigma LEAN Black Belt
21 HoursSix Sigma White Belt
14 HoursDesign of Experiments (DoE)
7 HoursData Analytics With R
21 HoursExcel For Statistical Data Analysis
14 HoursTalent Acquisition Analytics
14 HoursAnalysing Financial Data in Excel
14 HoursStatistics Level 1
14 HoursStatistics Level 2
28 HoursStatistics for Researchers
35 HoursMarketing Analytics using R
21 HoursNeural Network in R
14 HoursAdvanced R Programming
7 HoursApplied Machine Learning
14 HoursData Mining with R
14 HoursProgramming with Big Data in R
21 HoursR
21 HoursR Fundamentals
21 HoursData Mining and Analysis
28 HoursIntroductory R for Biologists
28 HoursR Programming for Data Analysis
14 HoursPredictive Modelling with R
14 HoursStatistical Analysis using SPSS
21 HoursTableau Advanced
14 HoursAdvanced R
14 HoursAdvanced Machine Learning with R
21 HoursR for Statistical Analysis
14 HoursTableau Intermediate Training Course
14 HoursR for Data Analysis and Research
7 HoursIntroduction to R
21 HoursForecasting with R
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