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

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