Hi everyone Instats is excited to offer a 1-day seminar, AI for Quantitative & Qualitative Research <https://instats.org/seminar/ai-for-quantitative-and-qualitative-rese>, livestreaming on Oct 14th and led by Dr Hadi Fariborzi from Mount Royal University. This immersive workshop fast-tracks graduate students, academics, and professional researchers from minimal coding experience to completing an AI-assisted mini research project within a single day. Working side-by-side in Python (Google Colab) and R (Posit Cloud), you will learn to import and clean data, run classical and advanced statistical models, conduct multilevel and structural equation modeling, replicate published analyses, and extract themes from interview transcripts before scaling to large-scale text mining. Throughout the seminar, Dr Fariborzi emphasizes methodological rigor, reproducibility, and critical use of AI as a coding and interpretation partner—helping you debug, document, and defend every analytical decision. By the end of the day you will leave with transferable notebooks, an AI prompt library, and exportable reports that integrate regression outputs, path diagrams, word clouds, and topic distributions into a transparent, shareable narrative ready for theses, grant projects, and classroom instruction.
Sign up today <https://instats.org/seminar/ai-for-quantitative-and-qualitative-rese> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
