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Coursera

Build an AI Data Analyst with Claude Cowork

LearnKartS via Coursera

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Overview

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What if you could turn everyday business data into clear insights and executive reports using AI Analyst without prior coding knowledge? This course is precisely designed to help you do that by teaching you to build a Claude-powered AI data analyst for faster work. You’ll start the course by learning to set up & use Claude Cowork, understand AI agents, create project instructions, and connect tools like Gmail & Google Drive. Next, you’ll learn to turn raw data into a reusable database, ask questions in plain English, check the results, create visual insights, and generate executive-ready reports. Finally, you’ll bring the workflow together, test it with real data, then schedule it to run & automatically deliver polished reports. By the end, you’ll build a personal AI data analyst connecting live data & everyday tools, get accurate answers & surface the right insights with visuals & a clear narrative. Unlike other courses, this AI Data Analyst course takes you beyond prompts by helping you create a reusable, automated workflow that turns raw data into emailed executive reports, with zero code & zero formulas. Enroll now & build your own AI data analyst with Claude Cowork.

Syllabus

  • The Case Study and Your AI Agent Setup
    • This module introduces the case study and Claude Cowork, exploring AI agents, agent skills, effective instructions, project briefings, and tool connections while helping you build the foundation for working with Claude as your AI data-analysis teammate.
  • Database Creation & Conversational AI Analysis
    • This module covers creating databases from raw data, checking data quality, defining analysis preferences, and building reusable database skills while teaching you how to ask questions in natural language and use Claude to generate SQL for data analysis.
  • Data Visualization & Executive Storytelling
    • This module covers creating rich visualizations with Claude and Plotly, customizing charts, choosing the right visual, and supporting insights with evidence while helping you turn analytical findings into clear stories that executives can understand and act on.
  • Automating the Full Pipeline and Scheduling
    • This module covers building an end-to-end AI data analysis pipeline, creating an orchestrator skill, testing workflows, and delivering reports by email while exploring how to schedule the workflow so your AI Data Analyst can run automatically with minimal manual effort.
  • Course Wrap-Up & Building Your Next Skills
    • This module brings your learning journey to a close with bonus content, the Build Your AI Analyst: Course Assessment, and course completion while helping you reflect on what you’ve built and identify practical ways to continue developing your AI-powered data analysis skills.

Taught by

LearnKartS and Mirza Rahim Baig

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