Data Analysis Course Development Assistant
Budget: $750 – $1,500 USD
(ONLY FOR INDIVIDUALS, NOT COMPANIES)
Need a research assistant (RA) to help me create a course on Data Analysis using AI. The RA must have expertise in data analysis (data management, data visualization, data analysis of both structured and unstructured texts). The RA has to be very well organized, very articulate, and with a proven passion for teaching and research. The help I need is to build each topic: (data collection, data analysis, instructions preparations, etc). Specifically, I need help with five topics (text as data, clustering application, predictive analytics, recommendation systems, and another application that will be discussed with the RA (e.g. random forest)
Here is a description of the course
This course is a hands-on, application-first seminar designed to transform students into AI-assisted data analysts without requiring a background in computer science or econometrics. By leveraging state-of-the-art AI tools to handle the technical heavy lifting of data cleaning and coding, students focus on the high-level intellectual tasks of framing empirical questions, identifying patterns, and communicating insights across diverse fields such as finance, geopolitics, urban policy, and science. Each session follows a "theory-to-construction" workflow—modeled after a practical baking class—where students move from conceptual understanding to building real-world outputs like sentiment indices, predictive models, and decision-ready dashboards. Ultimately, the course empowers students to navigate a data-rich world with a critical eye, teaching them not just how to process data, but how to use it to tell compelling stories and make informed decisions.
Need a research assistant (RA) to help me create a course on Data Analysis using AI. The RA must have expertise in data analysis (data management, data visualization, data analysis of both structured and unstructured texts). The RA has to be very well organized, very articulate, and with a proven passion for teaching and research. The help I need is to build each topic: (data collection, data analysis, instructions preparations, etc). Specifically, I need help with five topics (text as data, clustering application, predictive analytics, recommendation systems, and another application that will be discussed with the RA (e.g. random forest)
Here is a description of the course
This course is a hands-on, application-first seminar designed to transform students into AI-assisted data analysts without requiring a background in computer science or econometrics. By leveraging state-of-the-art AI tools to handle the technical heavy lifting of data cleaning and coding, students focus on the high-level intellectual tasks of framing empirical questions, identifying patterns, and communicating insights across diverse fields such as finance, geopolitics, urban policy, and science. Each session follows a "theory-to-construction" workflow—modeled after a practical baking class—where students move from conceptual understanding to building real-world outputs like sentiment indices, predictive models, and decision-ready dashboards. Ultimately, the course empowers students to navigate a data-rich world with a critical eye, teaching them not just how to process data, but how to use it to tell compelling stories and make informed decisions.