Kusto Query Language (KQL) from Scratch

KQL, the Kusto Query Language, is used to query Azure's services. This course will teach you the basic syntax of KQL, then cover advanced topics such as machine learning and time series analysis, as well as exporting your data to various platforms.

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Data+Become a specialist with access to over 1,400 data science courses.
₹734/mo
Data+Become a specialist with access to over 1,400 data science courses.
₹514

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Cloud Engineer, DevOps Engineer, Solutions Architect.

Quick Facts

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What You’ll Learn

Increasingly, Azure is becoming the infrastructure backbone for many corporations. It is imperative then, that you have the ability to query Azure into gain insights to the Azure services your company is using. In this course, Kusto Query Language (KQL) from Scratch, you will learn foundational knowledge to query a variety of Azure services. First, you will learn the basics of KQL, the Kusto Query Language. Next, you will progress to advanced KQL abilities such as machine learning and time series analysis. Finally, you will explore how to export the results of your KQL queries to CSV files and PowerBI. When you're finished with this course, you will have the skills and knowledge of the Kusto Query Language needed to gain valuable insights into your Azure services.

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Outcomes

  • Course Overview : 1min.
  • Introduction : 12mins.
  • 80% of the Operators You’ll Ever Use : 49mins.
  • Scalar Operators : 63mins.
  • Advanced Aggregations : 30mins.
  • Working with Datasets : 52mins.
  • Time Series : 37mins.
  • Machine Learning : 15mins.
  • Exporting Data : 5mins.
  • Where Next? : 5mins.
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5(155+ learners)
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