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Unlock the potential of web-derived data for rigorous, publishable research in this online seminar designed for PhD students, postdoctoral researchers, and professional academics. Led by Moses Boudourides of the Data Science Graduate Program, School of Professional Studies, Northwestern University, the seminar offers a research-focused introduction to web scraping and structured data collection, covering how to identify suitable online sources, extract and parse data from static pages, APIs, dynamic content, HTML, JSON, and other formats, and transform messy outputs into analysis-ready datasets. Participants will learn practical no-code and programmatic workflows in Python and R, alongside essential strategies for reproducibility, documentation, validation, ethical and legal decision-making, rate limiting, provenance tracking, and reviewer-ready metadata. With hands-on examples, reusable templates, and guidance for adapting workflows to individual research projects, this seminar helps researchers strengthen empirical chapters, articles, and grant-funded projects with transparent, defensible data collection pipelines. Delivered via Zoom with recordings, materials, and expert Q&A access available for 30 days, the seminar also includes an official Instats certificate of completion. #AppliedResearch #ComputationalSocialScience #DataScience #DataScraping #Finance #HealthSciences #LifeSciences #Statistics #ComputerScience #InformationScience #Python #R #Research #ResearchTraining #Instats