Agentic Data Analytics with Replit
Learn agentic data analysis with Replit: pull warehouse data, analyze it, build interactive plots, and package your results into a custom analytics app.
Manny Bernabe
무료 계정 만들기
실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련

튜토리얼
Replit Agent: A Guide With Practical Examples
Learn how to set up Replit Agent and discover how to use it through an example walkthrough and 10 real-world use cases.
튜토리얼
Agentic RAG: Step-by-Step Tutorial With Demo Project
Learn how to build an Agentic RAG pipeline from scratch, integrating local data sources and web scraping to generate context-aware responses to user queries.
튜토리얼
DeepSeek-V3.2-Speciale Tutorial: Build a Data Analyst Agent
Learn how to use DeepSeek V3.2 Speciale and Streamlit to turn any CSV into an interactive analytics assistant.



Session Resources
The way data work gets done has changed. Pulling data, cleaning it, charting it, and building the report used to take days across a handful of tools. Now an AI agent can handle most of it in a single conversation, so you can focus on the questions that matter. Whether you're a data pro or the person who always ends up owning the spreadsheet, this one's for you.In this code-along webinar, Manny Bernabe, from the community team at Replit, teaches you agentic data analysis workflows. You'll learn how to extract data from data warehouses like BigQuery, Databricks and Snowflake, crunch the numbers, then draw interactive plots, and bundle your results into a custom analytics app.
Key Takeaways