Business Analysis with AI

Übersicht

Learn how to use AI to streamline business analysis, improve research quality, analyze data faster, draft clearer requirements, and communicate insights with confidence. This course shows business analysts how to apply AI across the full BA workflow, from market research and competitive analysis to KPI summaries, user stories, documentation, stakeholder reports, and final recommendations.

You’ll practice writing effective prompts, selecting the right AI tools, protecting sensitive data, and validating AI-generated outputs with strong business judgment. By completing the course, you’ll save time on repetitive tasks, produce more structured analysis, and turn complex information into clear, actionable insights for stakeholders.

What makes this course unique is its practical, business-focused approach. Instead of only explaining AI concepts, it gives you hands-on tasks, checklists, role play, prompt templates, and real BA use cases you can apply immediately.

Whether you’re new to AI or already experimenting with it, this course will help you build a smarter, safer, and more productive business analysis workflow.

Lehrplan

• Introduction to AI for Business Analysis
Explore how AI supports business analysis through prompting, tool selection, ethics, privacy, and quick risk extraction.
• Market Research and Competitive Analysis with AI
Use AI to research markets, analyze competitors, build personas, review reports, and design better survey questions.
• Data Analysis and Interpretation with AI
Prepare, clean, analyze, and interpret data with AI while spotting patterns, anomalies, risks, and misleading outputs.
• Requirements and Documentation with AI
Use AI to draft requirements, user stories, acceptance criteria, process logic, gap analyses, and solution matrices.
• Communication and Presentation with AI
Transform analysis into stakeholder-ready summaries, presentations, reports, FAQs, and conversation plans using AI.
• Final
Consolidate your AI business analysis skills with validation checklists, prompt libraries, a 30-day plan, and final assessment.

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Unterrichtet von

Anton Voroniuk

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Fachgebiete

Artificial Intelligence