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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
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Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
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