Generative AI Data Analyst

Übersicht

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.

Lehrplan

• 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

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Unterrichtet von

Dr. Jules White

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Fachgebiete

Computer Science