Data Analysis with Kibana

1. Visualizations: Create diverse visual representations like charts, graphs, and maps.

2. Dashboards: Combine multiple visualizations into interactive dashboards for comprehensive insights.

3. Search and Filter: Easily locate and analyze specific data points using powerful search and filtering capabilities.

4. Aggregation and Metrics: Perform calculations such as sums, averages, counts, and percentiles on data.

Before diving into learning Data Analysis with Kibana, it's beneficial to have the following skills:

1. Basic Data Analysis: Understanding of fundamental data analysis concepts like data types, data manipulation, and basic statistical techniques.

2. Familiarity with Elasticsearch: Basic knowledge of Elasticsearch, including how to index data, perform queries, and manage indices.

3. Data Visualization: Familiarity with data visualization principles and tools, such as creating charts and graphs to represent data effectively.

4. Querying Skills: Proficiency in querying data using Elasticsearch Query DSL or similar query languages to retrieve and filter data.

By learning Data Analysis with Kibana, you gain the following skills:

1. Data Visualization: Ability to create compelling visualizations to represent data effectively.

2. Dashboard Creation: Proficiency in building interactive dashboards to monitor and analyze data comprehensively.

3. Search and Filter: Skills to search and filter data efficiently to extract relevant insights.

4. Aggregation and Metrics: Capability to perform aggregations and calculate metrics on data for deeper analysis.