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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

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