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Cancellation Policy: If you cancel your registration two weeks or more before the course is scheduled to begin, you are entitled to receive your choice of either a credit for a future seminar (which can be applied toward any of our courses) or a refund of the registration fee (minus a processing fee of $50). 

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

An 8-Hour Livestream Seminar Taught by Boris Nikolaev, Ph.D.

Did you know today’s AI tools can do much more than answer questions? They can act as agentic coworkers, helping you clean data, run code, generate visualizations, build dashboards, extract insights from qualitative text, and automate repeatable workflows.

In this course, you will learn how to use modern AI tools such as ChatGPT, Claude, and related platforms not just as conversational assistants, but as practical partners for data analysis. You will learn how to work with structured and unstructured data, create compelling visualizations, build reusable skills, and produce outputs that are easier to verify, present, and share.

Using natural language and AI tools, you will learn how to:

• Analyze common data formats such as CSV, Excel, PDF, JSON, and text corpora.
• Clean and transform data.
• Generate descriptive statistics and summary reports.
• Create static and interactive visualizations.
• Run common statistical analyses and models.
• Build interactive dashboards.
• Automate recurring tasks through reusable skills and workflows.
• Explore basic uses of LLMs for qualitative coding, classification, and extraction.

Rather than teaching a single tool or interface, the emphasis will be on developing a more durable set of capabilities—how to work effectively with AI-powered analytical environments, coding agents, and workflow-based systems as these technologies continue to evolve.