Join Peter Gruber for “Agentic Data Analytics: Automating Research Workflows,” a three-day online workshop designed for PhD students and professional researchers who want to use Agentic AI to streamline the scientific workflow—from data cleaning and wrangling to statistical analysis in R and Python, visualization, and LaTeX reporting. The seminar introduces Google Antigravity, a breakthrough Agentic AI tool that lets researchers leverage models such as Gemini Pro, Claude Opus, and GPT-OSS while running analytics locally on their own laptops, helping protect sensitive data from unnecessary cloud uploads. Alongside hands-on technical training, the workshop covers statistical decision-making and essential safety practices for working with AI agents. Taught by Peter Gruber, who holds PhDs in physics and economics and brings 20+ years of experience in statistical computing and AI-supported data science, the seminar includes Zoom livestream sessions, take-home skill challenges, 30-day access to recordings and materials, an instructor-monitored forum, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #Agent-basedModelling disciplines #AppliedResearch #ComputationalStatistics #DataScience #QuantitativeMethods #ResearchMethods #Statistics #InformationScience #ComputerScience #ArtificialIntelligence #SoftwareEngineering #PhilosophyofScience #Antigravity #Gemini #Python #R #Research #ResearchTraining #Instats

Ready to move beyond AI that simply writes code? Join Peter Gruber’s three-day online workshop, Agentic Data Analytics: Automating Research Workflows, designed for PhD students and professional researchers who want to use Agentic AI to streamline the scientific workflow. This hands-on seminar introduces Google Antigravity, a breakthrough tool that enables researchers to run AI-assisted data analytics locally in Python or R while leveraging models such as Gemini Pro, Claude Opus, and GPT-OSS — without uploading sensitive data to the cloud. Participants will learn how autonomous agents can support data cleaning and wrangling, statistical analysis, visualization, and publication-ready reporting in LaTeX, while also addressing the essential safety, statistical, and technical considerations of working with AI agents. Taught live via Zoom by Peter Gruber, who holds PhDs in physics and economics and brings more than 20 years of experience in statistical computing, the seminar includes take-home skill challenges, 30-day access to recordings and materials, an instructor-monitored discussion forum, an official Instats certificate of completion, and ECTS Equivalent points for eligible European students. #Agent-basedModelling disciplines #AppliedResearch #ComputationalStatistics #DataScience #QuantitativeMethods #ResearchMethods #Statistics #InformationScience #ComputerScience #ArtificialIntelligence #SoftwareEngineering #PhilosophyofScience #Antigravity #Gemini #Python #R #Research #ResearchTraining #Instats