Modular training course – Going further with NvivoHome Training Catalog Modular training course – Going further with Nvivo Analysis Short courses On-site courses Coaching Remote/Virtual Face-to-face English French Objectives Exchange with participants about their NVivo practices and refresh their knowledge From participant data: Mastering the NVivo environment. – Data management – Case management – Source coding – Queries and matrices – Documenting your analysis; memos, annotations and see-also links. – Visualisation and export – Importing and using data from social networks and from internet – Collaborative work and encoder comparison. Pre-requisites: Having followed the NVivo discovery training. Being able to use the basic functions of NVivo (importing documents and basic encoding). Pedagogical means and supervision: Sessions with the trainer, teaching aids in digital format, alternating between theory and practice. Follow-up device for the execution of the evaluation of the training results: The emphasis will be on practice and problem solving based on data provided by the participants. Theoretical reminders will be given throughout the training. Evaluation questionnaire at the end of the training on the knowledge of the tool and its practice. Expected results & skills at the end of the training: Mastery of the software and all its functionalities. At the end of this training, participants will have all the skills to manage all their research projects. Program First half-day: Review of the basic principles of qualitative analysis with NVivo (3h) Exchange with participants on their practices and needs + Refresher course if necessary The aim of this module is to standardise knowledge of the software and qualitative analysis. Each participant will be able to present his or her research and questions in preparation for the training Module 1: Generating and using cases through queries (2h) Cases, classifications, attributes and attribute values – what differences in NVivo? Importing classifications sheets from Excel Organisation of cases and nesting of the different levels Module 2: Automatic queries and collaborative work (2h) Automatic coding of emotions and themes Automatic coding based on document structure – working with semi-structured and structured interviews Working with several people on an NVivo project Encoder comparison Module 3: Queries: Deepening the understanding of your corpus and its coding (2h) Frequency queries and word clouds Word search, synapsis and hierarchical top-down classification. Matrix coding: exploratory approaches and word overlap Crosstab: cross-referencing nodes and features Coding queries: answering a research question in a few clicks Module 4: Documenting analysis, work and visualisations (2h) Memos and annotations See-also links Framework matrices Comparison diagrams, clusters, project and concept maps. Module 5: Working with web data (2h) Importing data from Twitter, Facebook and YouTube Importing data from websites Social network analysis with NVivo Module 6: Literature review with NVivo (2h) Importing scientific documents from (Endnote, Zotéro, Refworks, Mendeley or Citavi) Thematic coding of scientific documents Download the full program Duration 15 hours Level Intermediate Audience People involved in a qualitative research project who need the advanced functions of NVivo to go beyond the first level coding or who wish to discover the advanced functions of the software. Participants 8 people maximum Short courses for public attendance: 1290 EUR VAT excl/participant On-site courses: 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 Intelligence Artificielle Générative Generative Artificial Intelligence for Scientific Monitoring Objectives Describe the general working principle of Deep Learning and Generative Artificial Intelligence. Use advanced prompting techniques to meet business needs. Synthesize articles and scientific content by producing concise summaries that highlight key points and main conclusions. Improve technological monitoring by configuring, customizing, and automating generative artificial intelligence tools to monitor and summarize the latest research published in specific fields. Identify key points in a specific scientific field and detect missing research topics needed to complete an existing theoretical model. Translate articles. 17 and 21 March Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Introduction to R for Basic Statistical Analysis with the Help of Generative AI (Beginner) Objectives Discover the fundamentals of R and generative AI tools. Learn the basics of descriptive statistical analysis and apply them to real-world datasets. Learn how to automate common tasks in R using generative AI. Master the creation of simple visualizations and data presentation. Get introduced to the concepts of simple regressions and hypothesis testing. Generate workflows and automated reports with R Markdown. 31 March01, 02 and 03 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Scientific Communication and Popularization Objectives Understand the fundamentals of Generative AI and its applications in communication Use AI in communication strategy: defining target audiences, structuring messages, choosing formats… 01 and 02 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Prompt Engineering Objectives Describe how a Generative AI (GenAI) works in order to optimize its use in daily tasks Apply prompt engineering methods to use GenAI tools effectively Identify use cases within your professional environment 04 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Image Analysis Objectives Acquisition of the basics in image analysis Mastery of tools and techniques for AI-assisted analysis Hands-on practice and development of image pipelines using Generative AI 08 and 15 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Integrating Artificial Intelligence into your scientific teams Objectives Understand Generative AI, its functioning, and its limitations Explore the applications of Generative AI and use cases for scientists Define a plan for integrating Generative AI into your team/laboratory and prioritize the first actions 13 May Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative AI for Qualitative Analysis Objectives Understand the fundamentals of generative AI and its applications. Master AI-assisted qualitative analysis techniques. Use AI for analyzing and presenting qualitative data. 02 and 03 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Enhance your statistical analyses with R and Generative AI (Advanced) Objectives • Deepen your mastery of R to perform advanced statistical analyses.• Discover and leverage generative AI tools to automate common tasks in data analysis.• Optimize analytical processes by integrating automated workflows.• Structure complex workflows effectively and innovatively.• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases. 09, 10, 12 and 13 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Research Education Objectives Discover the general principles of Deep Learning and Generative Artificial Intelligence, and benefit from the potential of Generative AI tools. Use advanced prompting techniques to meet business needs. Classify generative AI tools according to the media they implement (text-to-text, text-to-image, etc.), and select the right tool for a specific use case. Produce educational activities such as course notes, study guides, or chapter summaries to assist students in their learning. Design exams and quizzes based on the training content developed for students, saving time in course preparation. Generate scenarios or case studies for group projects, based on current topics or scientific advancements, to expand the possibilities of course facilitation (content, group workshops, etc.). Adapt your teaching and prepare your students for the Generative AI revolution. 26 June03 July Register Ask for a quote Previous Next