- Course
- Data
Load and Transform Data with Scripting in Qlik Sense
Preparing and organizing data is often the biggest barrier to effective analysis. This course will teach you how to load, clean, and manage data in Qlik Sense using the Data Load Editor and scripting to create reliable, analysis-ready datasets.
What you'll learn
When analyzing data in Qlik Sense, the biggest challenge is often getting the data into the application in a usable format. Raw data can come from many sources, and it's rarely clean or structured correctly for analysis. In this course, Load and Transform Data with Scripting in Qlik Sense, you’ll gain the ability to use Qlik Sense scripting to create clean, scalable, and analysis-ready data models. First, you’ll explore how to load data from various sources, including files and databases, and use variables to make your scripts reusable. Next, you’ll discover how to transform and manipulate data using a wide range of scripting functions and conditional logic to clean fields, create new metrics, and combine tables. Finally, you’ll learn how to structure and maintain your scripts for readability, troubleshoot errors using the debugger, and implement incremental data loads to improve performance. When you’re finished with this course, you’ll have the skills and knowledge of data scripting in Qlik Sense needed to build robust, maintainable, and efficient data foundations for any business intelligence application.
Table of contents
About the author
A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.