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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
Testimonials (1)
The thing I liked the most about the training was the organization and the location
