What will you learn in Generative AI Data Analyst Specialization course
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Understand how Generative AI enhances modern data analytics workflows.
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Learn how to use AI tools to automate data cleaning, summarization, and reporting.
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Apply prompt engineering techniques for data-related tasks.
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Generate insights, visualizations, and narratives using AI assistance.
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Integrate Generative AI into business analytics and decision-making processes.
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Improve productivity and analytical efficiency using AI-powered tools.
Program Overview
Introduction to Generative AI in Data Analytics
⏳ 3–4 weeks
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Learn what Generative AI is and how it differs from traditional AI models.
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Understand real-world use cases in analytics and reporting.
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Explore how AI supports data-driven decision-making.
Prompt Engineering for Data Tasks
⏳ 3–4 weeks
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Learn how to write effective prompts for analytics tasks.
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Generate SQL queries, summaries, and insights using AI tools.
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Understand limitations and risks of AI-generated outputs.
AI-Assisted Data Cleaning and Analysis
⏳ 4–5 weeks
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Use Generative AI to identify data quality issues.
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Automate repetitive data preparation tasks.
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Generate exploratory analysis summaries efficiently.
AI-Powered Reporting and Visualization
⏳ 3–4 weeks
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Create AI-assisted dashboards and executive summaries.
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Translate complex datasets into easy-to-understand narratives.
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Apply ethical considerations in AI-driven reporting.
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Job Outlook
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Highly relevant for Data Analysts, Business Analysts, and Reporting Analysts.
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Generative AI skills are increasingly demanded in analytics and business intelligence roles.
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Enhances productivity and competitiveness in data-driven careers.
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Supports transition into AI-enabled analytics and advanced BI positions.
