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 (5)
The trainer adapted the materials and contents to what he thought would be best for us and he succeeded. The quality of the training was excellent.
Jorge Sanchez Hernandez - CSMART - Carnival
Course - QGIS for Geographic Information System
A lot of patience
Mateusz - WestWind Energy Polska Sp. z o.o.
Machine Translated
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.
Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire
I genuinely enjoyed the lots of labs and practices.