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Course Outline
Introduction to LLMs and Business Intelligence
- Overview of LLMs in the context of business analytics
- The role of LLMs in data-driven decision-making
- Understanding the capabilities and limitations of LLMs
Data Analysis with LLMs
- Preparing datasets for LLM analysis
- Techniques for data extraction and processing using LLMs
- Generating reports and visualizations with LLMs
Market Analysis Using LLMs
- Sentiment analysis and customer feedback interpretation
- Competitive intelligence gathering with LLMs
- Predictive modeling for market trends
Strategic Planning with LLMs
- Integrating LLM insights into business strategy
- Scenario planning and risk assessment with LLMs
- Crafting data-informed business plans
Case Studies and Industry Applications
- Review of successful LLM applications in various industries
- Discussion on the impact of LLMs on business outcomes
- Group analysis of real-world business problems
Ethical Considerations and Data Governance
- Addressing ethical concerns in using LLMs for business intelligence
- Ensuring data privacy and compliance in LLM applications
- Best practices for data governance with LLMs
Hands-On Project
- Applying LLMs to a business intelligence challenge
- Peer reviews and collaborative problem-solving sessions
Summary and Next Steps
Requirements
- An understanding of business intelligence concepts
- Experience with data analysis and basic programming skills
- Familiarity with machine learning principles
Audience
- Business analysts
- Data scientists
- Strategic planners
14 Hours
