Analysis and decision support
AI for Data Analysis
Use advanced prompting and Microsoft Copilot to clean, interpret, visualize, and communicate data while strengthening strategic decision support, process analysis, validation, governance, and responsible AI practices.
Build practical capability in AI for Data Analysis.
Use advanced prompting and Microsoft Copilot to clean, interpret, visualize, and communicate data while strengthening strategic decision support, process analysis, validation, governance, and responsible AI practices.
Design reusable and multi-step prompts for analytical and decision-support tasks.
Use AI and Copilot to clean data, interpret business metrics, create PivotTables, and analyze charts.
Turn analysis into clear findings, recommendations, reports, and visual data stories.
Apply validation, guardrails, bias checks, and governance practices to AI-assisted analysis.
Course overview
A structured, application-focused AI program. Open each topic to review its practical coverage.
Advanced Prompt Engineering Overview
- Review: One-Shot Prompts
- Review: Few-Shot Prompting
Advanced Techniques in Prompting
- Prompt Chaining for Multi-Step Tasks
- Designing Multi-Step AI Workflows
AI for Analysis and Strategic Decision Making
- AI for Data Analysis and Insights
- Using AI to Interpret Business Metrics
Using Copilot for Data Analysis
- Copilot Add-In Overview
- Installing and Enabling Copilot
AI for Charts and Visual Analytics
- AI-Assisted Chart Analysis
- AI-Assisted Chart Creation
AI for Process Improvement
- AI as an Innovation Partner
- Prompting for Process Analysis and Optimization
Customizing Prompts for Domain-Specific Use
- Domain-Specific Prompting
- Prompting in Regulated or Sensitive Environments
Governance, Risk, and Responsible AI
- Identifying Biases in AI Outputs
- Mitigating Errors and Assumptions
Full course outline
This restructured outline uses the strongest applicable topics from the legacy AI programs while removing unnecessary overlap.
View full outline
- Advanced Prompt Engineering Overview
- Review: One-Shot Prompts
- Review: Few-Shot Prompting
- Review: Evaluating Your Prompts
- Editing a Processed Prompt
- Comparing Original vs Edited Prompts
- Advanced Techniques in Prompting
- Prompt Chaining for Multi-Step Tasks
- Designing Multi-Step AI Workflows
- Making Reusable Prompts with Placeholders (Variables)
- Role-Based Prompts
- AI for Analysis and Strategic Decision Making
- AI for Data Analysis and Insights
- Using AI to Interpret Business Metrics
- AI-Assisted Reporting and Recommendations
- Using Copilot for Data Analysis
- Copilot Add-In Overview
- Installing and Enabling Copilot
- Copilot Chat vs App Skills
- Using Copilot for Data Cleaning
- Using Copilot for Conditional Formatting
- Sorting and Filtering with Copilot
- Creating Pivot Tables with Copilot
- Limitations and Issues with Copilot
- AI for Charts and Visual Analytics
- AI-Assisted Chart Analysis
- AI-Assisted Chart Creation
- Editing and Enhancing Charts with AI
- Visual Data Storytelling
- AI for Process Improvement
- AI as an Innovation Partner
- Prompting for Process Analysis and Optimization
- Customizing Prompts for Domain-Specific Use
- Domain-Specific Prompting
- Prompting in Regulated or Sensitive Environments
- Governance, Risk, and Responsible AI
- Identifying Biases in AI Outputs
- Mitigating Errors and Assumptions
- Building AI Guardrails
- Creating Team AI Governance Policies