Development Environment in Data ScienceHome Training Catalog Development Environment in Data Science Data Science Engineering and development Open Source On-site courses Remote/Virtual Face-to-face English French Objectives Understand the data science ecosystem and know the tools related to the realization of a data science project. Prerequisite: Comfortable with IT tools, Internet connection available. Educational and technical material and resources: Sessions with the trainer Teaching aids in digital format Alternating between theory and practice Assesment: Practical application and exercises, on-the-spot assessment of training. Expected results & skills at the end of the training: At the end of this course, participants will have a clear idea of what data science is, the tools available for implementing data science projects, which programming language to choose and how to organise their work. Program DAY 1 The unix environment, interacting with a shell, open source tools (sed, awk, grep, jq, csvkit, etc.), R and Python, SQL and NoSQL Revision control and collaborative work with Git The methodology for managing a data science project Software engineering fundamentals and best practices DAY 2 Information gathering and processing (experimental designs and clinical trials, surveys and polls, web data, open data) Distributed architecture and database, map-reduce, big data, Apache Spark Download the full program Duration 14 hours Level Beginner Audience Anyone who wants to discover the data science ecosystem. Participants 8 people maximum Nous consulter pour un devis personnalisé. 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 Generative Artificial Intelligence Artificial Intelligence for Scientific Article Writing Objectives Learn the inherent rules of scientific article writing Understand how Generative AI works and master Prompt Engineering Use AI for article writing: assistance with structure, reformulations, translations… 07 October Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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 07 October Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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 09 October Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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… 16 and 17 October Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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. 21 and 24 October Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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. 28 and 31 October Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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 10 November Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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. 24 and 25 November Register Ask for a quote Previous Next
