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  • Learning Path
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Data Analysis and Exploration with Kusto Query Language (KQL)

5 Courses
5 Hours
Skill IQ

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.

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Content in this path
Data Analysis and Exploration with KQL

Watch the following courses to learn how to use KQL for data analysis.

Course
Up and Running with Kusto Query Language (KQL)
  • by Matt Stenzel
  • 1h 1m
  • Aug 22, 2025
Course
Filter and Search Data with Kusto Query Language (KQL)
  • by Gail Shaw
  • 1h 7m
  • Sep 11, 2025
Course
Summarize and Aggregate Data with Kusto Query Language (KQL)
  • by Dr. Ali Feizollah
  • 55m
  • Aug 22, 2025
Course
Visualize Data with Kusto Query Language (KQL)
  • by Neeraj Kumar
  • 1h 2m
  • Sep 11, 2025
Course
Share and Export Insights with Kusto Query Language (KQL)
  • by Amruta Mahajan
  • 1h 4m
  • Sep 08, 2025
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What You'll Learn
  • 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
Prerequisites
  • 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.
Related topics
  • Azure Data Explorer
  • KQL
  • Data analysis
  • Data visualization
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Learn with the best
Matt Stenzel
Matt Stenzel
Matt Stenzel is a Data and AI Cloud Solution Architect at Microsoft. He has 15+ years of experience in the data and analytics industry working in various roles including a software developer, data engineer, DW developer, DBA and integration architect. He has spent the last 8 years working at Microsoft helping companies across the US successfully implement Azure solutions that provide business value.
Gail Shaw
Gail Shaw
Gail is a Database Specialist focusing on database performance tuning and database recovery, with a particular interest in topics such as indexing strategies, execution plans, and writing T-SQL code that performs well and scales gracefully. Gail holds a Microsoft Certified Master certification for SQL Server 2008 and is a Data Platform MVP. She is a frequent poster on the SQL Server Central forums, writes articles for both SQLServerCentral.com and Simple-Talk.com, and has spoken at SQL Saturday...
Dr. Ali Feizollah
Dr. Ali Feizollah
Hello, I'm Ali. I have a PhD in computer science. I am currently conducting research on natural language processing (NLP) using Python and machine learning. I have a YouTube channel, named Flutterware, that shares tutorial on Google's Flutter platform that is used to develop mobile applications for Android and iOS with one base code. I love research and exploring knowledge. I think acquiring knowledge without sharing it is useless. I hope that you find my classes helpful.
Neeraj Kumar
Neeraj Kumar
With an IT experience spanning over two decades, Neeraj is a Cloud Enthusiast, Enterprise Architect, and Author, currently working as Technology Head - Cloud Operations, MBU at TATA Consultancy Services, managing high-end digital transformation and cloud operation programs using solutions built on AIOps, Data Science, Cognitive Services, Power Platform, M365, Azure, etc. to elevate businesses by maximizing their RoI.
Amruta Mahajan
Amruta Mahajan
Amruta is an experienced Data Analyst with over 12 years of experience in interpreting and analyzing data to drive successful business outcomes. She loves tackling hard problems using data manipulation as her superpower and has worked with market leaders from various fields including Standard & Poors, McDonalds, Mondelez International, General Electric, AMD and Beam Suntory. Amruta is passionate about both teaching and learning and believes “The purpose of life is to discover your gift. The work...

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