1: Review of Kibana Fundamentals
1.1 Quick overview of Kibana’s interface and basic features
1.2 Revisiting index patterns and data exploration
1.3 Recap of visualization basics: Charts, graphs, and tables

2: Advanced Querying and Filtering in Kibana
2.1 Mastering Kibana’s Query Language (KQL)
2.2 Using Lucene syntax for more complex queries
2.3 Working with advanced filters and search options
2.4 Creating custom filters and query-based visualizations

3: Scripted Fields and Data Transformation
3.1 Introduction to scripted fields in Kibana
3.2 Creating and managing scripted fields for custom calculations
3.3 Using Painless scripting language
3.4 Transforming and enriching data for visualizations

4: Advanced Visualization Techniques
4.1 Building complex visualizations (histograms, gauge charts, goal visualizations)
4.2 Using Vega for custom visualizations in Kibana
4.3 Creating dynamic visualizations with time-series data (Timelion, TSVB)
4.4 Working with geo-spatial data: Heatmaps, region maps, and coordinate maps

5: Kibana Machine Learning Integration
5.1 Introduction to machine learning in the Elastic Stack
5.2 Setting up anomaly detection jobs in Kibana
5.3 Visualizing machine learning results in Kibana
5.4 Using machine learning insights for advanced analysis

6: Dashboard Optimization and Customization
6.1 Best practices for building efficient and performance-optimized dashboards
6.2 Creating dynamic dashboards with drilldowns and user interactions
6.3 Using markdown and input controls for custom dashboard layouts
6.4 Implementing dashboard navigation for seamless data exploration

7: Alerting and Monitoring with Kibana
7.1 Setting up alerts in Kibana using Watcher
7.2 Monitoring system performance and Elasticsearch cluster health
7.3 Configuring and managing alerts for key metrics and logs
7.4 Building visualizations for proactive alert monitoring

8: Data Security and Access Control
8.1 Implementing role-based access control in Kibana
8.2 Setting up permissions for dashboards and visualizations
8.3 Managing user access to sensitive data
8.4 Integrating Kibana with Elasticsearch security features (Elastic Security)

9: Real-Time Data and Custom Solutions
9.1 Visualizing real-time data streams with Kibana
9.2 Building dashboards for live monitoring and alerts
9.3 Creating Kibana solutions tailored to specific business needs
9.4 Extending Kibana capabilities with custom plugins

10: Hands-on Project: Advanced Data Visualization
10.1 Project overview: Creating a fully functional Kibana dashboard for complex data analysis
10.2 Designing advanced visualizations with custom data transformations
10.3 Applying machine learning insights to enhance the project’s analytical capabilities
10.4 Optimizing the dashboard for performance and interactivity

11: Conclusion and Best Practices
11.1 Recap of advanced features and best practices
11.2 Common challenges and troubleshooting techniques
11.3 Resources for continued learning and community engagement
11.4 Future trends in data visualization with Kibana

Reference