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 Duration 21 hours

Course Outline

Introduction to Google Gemini AI

  • The role of AI in modern data analysis
  • Key capabilities of Google Gemini AI
  • Configuring the Gemini AI environment

Connecting Data Sources

  • Importing data into the Gemini AI system
  • Data cleaning and preprocessing workflows
  • Maintaining data security and privacy standards

Exploring Data with Gemini AI

  • Utilizing natural language for data queries
  • Interpreting responses from Gemini AI
  • Advanced techniques for query formulation

Data Analysis and Insights

  • Detecting patterns and identifying anomalies
  • Performing statistical analysis using Gemini AI
  • Applying predictive modeling and forecasting methods

Data Visualization

  • Designing effective and clear visualizations
  • Customizing charts and graphical representations
  • Building interactive dashboards with Gemini AI

Communicating Insights

  • Narrative storytelling through data
  • Crafting professional reports and presentations
  • Best practices for data-driven decision making

Summary and Next Steps

Requirements

  • Foundational knowledge of data analysis concepts
  • Prior experience with data visualization tools is advised

Target Audience

  • Data analysts
  • Business professionals

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