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Duration 21 hours
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.
Testimonials (1)
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