- Learning Path
Data Analysis and Exploration with Kusto Query Language (KQL)
This learning path is actively in production. More content will be added to this page as it publishes and becomes available in the library. The planned content for this path includes the following: - Up and Running with Kusto Query Language (KQL) (video course) - Filter and Search Data with Kusto Query Language (KQL) (video course) - Summarize and Aggregate Data with Kusto Query Language (KQL) (video course) - Explore Time Series Data with Kusto Query Language (KQL) (video course) - Combine Data with Joins and Unions in Kusto Query Language (KQL) (video course) - Visualize Data with Kusto Query Language (KQL) (video course) - Share and Export Data Insights with Kusto Query Language (KQL) (video course) - Data Analysis and Exploration with Kusto Query Language (KQL) (Skill IQ)
Kusto Query Language (KQL) is a powerful query language used to explore and analyze large volumes of data. In this learning path, you'll learn how to use KQL to filter, summarize, visualize, and share data insights. This path is built for data analysts who want to confidently query real-world datasets, build interactive reports, and discover trends and patterns in data.
Content in this path
Data Analysis and Exploration with KQL
Watch the following courses to learn how to use KQL for data analysis.
- How to get up and running with KQL
- How to filter and search data with KQL
- How to summarize and aggregate data with KQL
- How to explore time series data with KQL
- How to combine data with joins and unions in KQL
- How to visualize data with KQL
- How to share and export insights with KQL
- Learners interested in this path should have a strong understanding with foundational data analysis concepts. Learners will also benefit from hands-on experience working with structured data and tools like Excel, SQL, and Power BI.
- Azure Data Explorer
- KQL
- Data analysis
- Data visualization
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