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Start 4 June 2026 08:16

Einde 4 June 2026

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Generative AI Data Analyst

Join the Generative AI Data Analyst course offered by Vanderbilt University on Coursera to unlock your potential in AI-driven data analysis. Gain expertise in using ChatGPT to transform raw data into valuable insights. Automate workflows and produce engaging visual representations across various platforms, including spreadsheets, databases, an.
Vanderbilt University via Coursera

Vanderbilt University

26 Cursussen


Vanderbilt University is a private research university in Nashville, TN, offering world-class interdisciplinary education and award-winning research opportunities.

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Overzicht

This Specialization equips you with the skills to become a Generative AI Data Analyst, using ChatGPT to streamline data analysis, automate repetitive tasks, and uncover insights faster. You’ll learn to work with spreadsheets, databases, and unstructured documents—transforming raw data into compelling stories and visualizations.

By mastering these AI-powered techniques and prompt engineering, you’ll stand out in a rapidly evolving data landscape and be prepared for the future of analytical work.

Lesprogramma

  • Introduction to Generative AI and ChatGPT
  • Overview of Generative AI
    Understanding ChatGPT and its capabilities
    Applications of Generative AI in data analysis
  • Prompt Engineering for Data Analysis
  • Crafting effective prompts
    Iterative refinement of AI outputs
    Case studies of successful prompt usage
  • Data Analysis with Spreadsheets
  • Automating data cleaning using AI
    Leveraging ChatGPT for data exploration
    Creating data-driven stories with spreadsheets
  • Working with Databases
  • Basics of database management
    Using AI tools for querying databases
    Automating ETL (Extract, Transform, Load) processes
  • Analyzing Unstructured Data
  • Introduction to unstructured data types
    AI techniques for processing text and documents
    Generating insights from unstructured sources
  • Data Visualization and Storytelling
  • Principles of effective data visualization
    Automated chart generation using AI
    Translating data insights into compelling narratives
  • Advanced AI-Powered Data Analysis Techniques
  • Machine learning applications in data analysis
    Leveraging AI for predictive analytics
    Integrating AI with business intelligence tools
  • Case Studies and Real-World Applications
  • Analyzing real-world datasets with AI
    Success stories from AI-driven data initiatives
    Ethical considerations and best practices in AI data analysis
  • Preparing for the Future of AI in Data Analysis
  • Emerging trends in AI and data analytics
    Skills and tools for staying competitive
    Building a career as a Generative AI Data Analyst
  • Capstone Project
  • Select a real-world data analysis problem
    Apply generative AI tools and techniques to solve the problem
    Present findings through a comprehensive report and visualization

Gegeven door

Dr. Jules White


Vakgebieden

Computer Science