Explore Time-Series Data With Kusto Query Language (kql)
Released 10/2025
By Matt Stenzel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 57m | Size: 141 MB
Learn to wrangle time series data with practical use cases. This course will teach you how to utilize time-series data with KQL to analyze trends, uncover patterns, and detect anomalies.
Have you ever wondered how data can predict the next big storm? Dive into real-world weather events and discover the power of KQL to reveal patterns, spot anomalies, and forecast impacts-turning raw storm data into actionable insights. In this course, Explore Time-series Data with Kusto Query Language (KQL), you'll learn how to use time-series data with KQL to analyze trends, uncover patterns, and detect anomalies. First, you'll explore how to use binning and aggregating functions along with time-series functions and visualizations to find insights from your data. Next, you'll discover how to use time-series functions like make-series and mv-expand for advanced analytics. Finally, you'll learn how to use functions like series_decompose and series_outliers to find patterns and anomalies in practical data. When you're finished with this course, you'll have the skills and knowledge of exploring time-series data with KQL needed to gain valuable insights and take intelligent actions from your data.
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