Course Outline

Introduction to Google Gemini AI

  • Overview of AI in data analysis
  • Capabilities of Google Gemini AI
  • Setting up the Gemini AI environment

Connecting Data Sources

  • Importing data into Gemini AI
  • Data cleaning and preprocessing
  • Ensuring data security and privacy

Exploring Data with Gemini AI

  • Using natural language queries
  • Understanding Gemini AI's responses
  • Advanced query techniques

Data Analysis and Insights

  • Identifying patterns and anomalies
  • Statistical analysis with Gemini AI
  • Predictive modeling and forecasting

Data Visualization

  • Designing effective visualizations
  • Customizing charts and graphs
  • Interactive dashboards with Gemini AI

Communicating Insights

  • Storytelling with data
  • Preparing reports and presentations
  • Best practices for data-driven decision making

Summary and Next Steps

Requirements

  • Basic understanding of data analysis concepts
  • Familiarity with data visualization tools is recommended

Audience

  • Data analysts
  • Business professionals
 21 Hours

Number of participants



Price per participant

Testimonials (5)

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