Time Series with RHome Training Catalog Time Series with R Analysis Data Science Open Source Short courses On-site courses Blended Remote/Virtual Face-to-face French English Objectives Please contact us if you would prefer to have this training course held in English. Download the full program Duration 14 hours Level Intermediate Participants 8 people maximum Please contact us for a personnalized offer. Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Modular training course - NVivo basics Objectives Understand the role of NVivo in the qualitative analysis process. Understand and master the NVivo environment. Source management Case management Source coding Crossing matrices Documenting your analysis; memos, annotations and links to. 17, 18, 20 and 21 October Register Ask for a quote Upcoming trainings Analysis Modular training course - NVivo Advanced Objectives Discussing with participants on their NVivo practices and deepen the following knowledge and skills: Mastering the NVivo environment. Source management Case management Source coding Queries and matrices Documenting your analysis; memos, annotations and links to. Viewing and exporting Importing and using data from social networks and the web Collaborative work and coding comparison. Please contact us if you would like to have this training course held in English. 07, 08, 09 and 10 November Register Ask for a quote Upcoming trainings Scientific communication and writing Writing science for publication 14, 15, 17 and 18 November Register Ask for a quote Upcoming trainings Publishing Set up a scientific and technological monitoring in an innovative project Objectives Succeed in the implementation of scientific, technical and technological monitoring for a project. Know the watch cycle and organize your monitoring plan. Organize the different stages of the monitoring concretely. 15 and 16 November Register Ask for a quote Previous Next
