Generative AI Data Analyst Specialization course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This specialization is designed to equip data analysts with practical skills to integrate Generative AI into everyday workflows. Spanning five core modules and a final project, the course blends foundational knowledge with hands-on applications, covering prompt engineering, data cleaning, analysis, visualization, and ethical reporting. With a total time commitment of approximately 14–18 weeks at 3–5 hours per week, learners will gain career-relevant expertise in using AI tools to enhance productivity and insight generation in real-world analytics settings.
Module 1: Introduction to Generative AI in Data Analytics
Estimated time: 10 hours
- Understanding Generative AI and how it differs from traditional AI models
- Exploring real-world use cases in analytics and reporting
- How Generative AI supports data-driven decision-making
- Overview of AI's role in modern data workflows
Module 2: Prompt Engineering for Data Tasks
Estimated time: 10 hours
- Writing effective prompts for data analysis
- Generating SQL queries using AI
- Creating summaries and insights through prompting
- Understanding limitations and risks of AI-generated outputs
Module 3: AI-Assisted Data Cleaning and Analysis
Estimated time: 14 hours
- Identifying data quality issues using Generative AI
- Automating repetitive data preparation tasks
- Generating exploratory data analysis summaries
- Validating AI-generated data transformations
Module 4: AI-Powered Reporting and Visualization
Estimated time: 10 hours
- Creating AI-assisted dashboards
- Generating executive summaries with AI
- Translating complex datasets into narratives
- Applying ethical considerations in AI-driven reporting
Module 5: Integrating Generative AI into Business Analytics
Estimated time: 10 hours
- Applying Generative AI in business decision-making
- Enhancing productivity in analytical workflows
- Using AI tools for faster insight generation
- Case studies in AI-enabled business intelligence
Module 6: Final Project
Estimated time: 16 hours
- Deliverable 1: End-to-end data analysis using Generative AI tools
- Deliverable 2: AI-generated report with visualizations and narrative
- Deliverable 3: Reflection on ethical considerations and tool limitations
Prerequisites
- Basic understanding of data analytics concepts
- Familiarity with spreadsheets or basic data tools
- Interest in improving analytical efficiency with AI
What You'll Be Able to Do After
- Understand how Generative AI enhances modern data analytics workflows
- Use AI tools to automate data cleaning, summarization, and reporting
- Apply prompt engineering techniques to generate SQL, summaries, and insights
- Generate visualizations, narratives, and reports using AI assistance
- Integrate Generative AI into business analytics and decision-making processes