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Course Outline
Introduction to AI in Business Analytics
- Overview of AI-driven business intelligence
- Understanding DeepSeek’s capabilities in analytics
- Key concepts in predictive analytics and decision-making
Data Processing and AI-Driven Insights
- Collecting and preparing business data for analysis
- Using DeepSeek for data interpretation and summarization
- Identifying trends and patterns in business datasets
Predictive Modeling with DeepSeek
- Understanding predictive analytics and machine learning models
- Using DeepSeek for forecasting business trends
- Automating risk assessment and anomaly detection
AI-Enhanced Business Intelligence and Visualization
- Integrating DeepSeek with BI tools (Power BI, Tableau, etc.)
- Generating AI-powered reports and dashboards
- Using AI to enhance business strategy and planning
Automating Business Workflows with AI
- Automating repetitive business analysis tasks
- Using DeepSeek for automated market research
- AI-powered competitor analysis and customer insights
Ethical AI and Data-Driven Decision-Making
- Ensuring ethical use of AI in business analytics
- Addressing data privacy and compliance
- Building AI-driven strategies for responsible decision-making
Future Trends in AI-Powered Business Analytics
- Emerging AI technologies in business intelligence
- The future of predictive modeling and automation
- Developing a roadmap for AI-driven business success
Summary and Next Steps
Requirements
- Basic understanding of business analytics and data interpretation
- Familiarity with spreadsheets and data visualization tools
- No prior AI experience required
Audience
- Business analysts using AI for data-driven decision-making
- Managers seeking to leverage predictive analytics
- Executives looking to enhance business intelligence with AI
14 Hours