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Explore Qlik Learning’s extensive catalog of self-paced courses designed to help you grow your skills — from building powerful visualizations to managing system installations. Easily find the right learning content for your goals using product or role filters, and quickly see which courses are free and open to all users and which require a subscription for access.
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Artificial Intelligence and Machine Learning Foundations
This course isn’t about coding or complex math - it’s about understanding the core ideas that power today’s intelligent systems so you can talk about them confidently, recognize them in everyday life, and appreciate how they’re shaping our future. By the end of the course, you’ll be able to clearly explain what AI really is, how it learns, how it creates, and how it acts in simple, human terms.
Throughout this course, you’ll explore how Qlik Predict enables you to create, train, and deploy machine learning models without needing deep data science expertise. From understanding core ML concepts to building your first predictive model, you’ll learn how to transform your data into forward‑looking insights that help your organization act faster and smarter.
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Create Visualizations with Qlik Cloud Analytics / Qlik Sense
This learning path focuses on practical skills for designing and building effective visualizations in Qlik Cloud Analytics. You will work with data preparation, selection, and analysis that support data-driven decision-making. You will also explore guided storytelling and best practices for sharing and finalizing apps.
In this course, you learn the foundational terminology used in AI systems and understand how Qlik Answers provides an Agentic AI solution based on Qlik's trusted data and analytics capabilities.
This learning path helps you use Talend Studio as quickly as possible. It focuses on the basic capabilities of Studio and how you can use it to build Jobs to read and write data from common database and file formats, transform it, and integrate it into targets.
This learning path serves as a prerequisite for many other learning paths, and the skills learned apply to most products.
This learning path helps you use Talend Studio for Data Integration as quickly as possible. It focuses on the basic capabilities of Studio and how you can use it to build reliable, maintainable data integration tasks that solve practical problems, including extracting data from common database and file formats, transforming it, and integrating it into targets.
This learning path serves as a prerequisite for many other Talend courses, and the skills learned apply to most products.
Welcome to the exciting world of Qlik Automate! This comprehensive course is designed to empower you with the skills and knowledge needed to harness the full potential of Qlik's powerful automation capabilities.
Qlik Automate enables you to seamlessly integrate and orchestrate data flows, ensuring timely and accurate insights that drive business success.
In this learning path, you go through a series of videos to help you understand the installation procedures and prerequisites, and you will learn how to get the best out of Talend Cloud and on-premises products.
This learning path guides you in administering and managing Qlik Cloud as a System Expert. You will explore through hands-on activities how to configure identity and user management, govern data access, and oversee platform operations.
This module gives you a practical approach to monitoring consumption and performance in Qlik Cloud. It includes hands-on activities using App Analyzer and Reload Analyzer to trace tenant-level signals to specific apps, users, and reload patterns, plus guided practice deploying the monitoring apps for ongoing use in your tenant.
In this learning path, you go through a set of videos to understand the security enhancements you can implement to accelerate your digital transformation and get the best out of your Talend products, cloud and on-premises.
This learning path provides full API development lifecycle support that extends from design to deployment.
You can easily design, prototype, and document APIs in Talend API Designer, quickly implement the underlying service in Talend Studio, ensure your APIs are solid and reusable with API Tester, and deploy services in Talend Management Console.
Talend Data Mapper helps you work with hierarchical data involving complex constructs like nested or looping structures. The product lets you define and execute transformations (called maps) between data records or documents. You can define the input and output structures manually or import them from various formats (such as XML, SWIFT, COBOL, CSV, EDI, XLS, and MySQL databases).
This learning plan familiarizes you with the most popular features of Talend Data Mapper.
Talend provides a development environment that enables users to interact with many Big Data sources and targets without having to understand or write complicated code.
Talend Big Data Basics is an introduction to the Talend components shipped with several products that interact with Big Data systems.
This learning path focuses on Spark Batch. After an introduction to Apache Spark, you learn how to use the Spark framework in Studio and than you work on a common Big Data use case: download analysis.
Talend Big Data Spark Batch is designed to help you utilize the most common Talend Big Data components as well as publish Jobs to Talend Administration Center and schedule them.
Discover how to use more advanced features of Talend Data Integration, which provides an extensible, highly-scalable set of tools to access, transform, and integrate data from any business system to meet both operational and analytical data integration needs.
Accelerate time to compliance and improve data accessibility with detailed information about all of your metadata. Talend Data Catalog is a tool that combines data cataloging and metadata management. It connects data from platforms, databases, and analytics tools to generate a holistic view of the information supply chain in a language that everyone can understand.
Become an expert with Talend Data Catalog and learn how to manage multiple configurations in a common interface. Optimize your work with time-saving features, helpful collaboration tools, and advanced administrative capabilities.
Talend Studio for Data Quality enables data governance teams to assess the quality of data in any data source. Talend Data Quality also lets you verify data completeness, accuracy, and integrity in preparation for data migration, instance consolidation, and data integration.
This learning path helps you immediately utilize Talend Studio for Data Quality. You learn how to evaluate data quality according to a set of metrics and thresholds based on indicators, models, and rules for each data item to be analyzed or monitored. You also use Data Integration Jobs for simple data cleansing tasks.
Talend Cloud provides broad connectivity, built-in data quality, Talend Cloud apps for business, and native code generation to support the latest cloud technologies.
In this learning plan, you learn how to create datasets and preparations to deliver cleansed, structured, enriched data to business users. You also learn how to build Data Preparation and Data Stewardship Jobs in Talend Studio, publish them to the cloud, and schedule them in Talend Cloud.
Duration: 1 day (7 hours)
Target audience: Data owners, DI developers, an
This learning path enables developers to build DI Jobs for Talend Data Stewardship (in Talend Cloud) to empower business users to quickly access and handle tasks. It covers the creation of data models, campaigns, and tasks, as well as how to resolve several types of tasks in Talend Data Stewardship.
It is based on knowledge of data integration acquired from the Introduction to Talend Studio or Talend Data Integration Basics learning paths.
This learning path covers the main functionalities of Talend Management Console. This cloud application is used to schedule and follow up task execution and as an administration console to create users, roles, user groups, and projects. You can design cloud-to-cloud and hybrid integration Jobs in Talend Studio and publish them to Talend Management Console.
This learning path provides a portfolio of solutions for the common issues you may encounter using Talend products. It offers trainees the troubleshooting tools they need to solve the issues encountered using Talend Management Console and Remote Engines, Talend Studio, Administration Center & Job Server, Talend Data Catalog and the Continuous Integration process.
Qlik Talend Cloud Migration Toolkit (QTCMT) provides an all-in-one solution for migrating on-premises assets to Talend Cloud.
This learning path helps you immediately use QTCMT by providing fundamental understanding and guided exercises on a virtual training environment.
This learning path enables you to create data pipelines using Qlik Cloud Data Integration. It shows you how to install and configure the Data Movement Gateway, channel data from the source to the target platform and transform data while in transit.
This learning module provides a broad overview of how expressions can be applied to charts in order to broaden your options for configuring visualizations.
This module discusses how dates are handled in Qlik Sense. You learn how to format dates, perform calculations with dates, map date aggregations to the assets panel, create calendar measures, and ensure that gaps in dates from your data model are accurately represented in visualizations.
This module discusses the ability to configure chart expressions to calculate percentages, scale a range of values between zero and one, and nest one aggregation within a second aggregation in order to achieve expression goals.
This module will investigate troubleshooting and resolving location errors and data mismatches experienced when configuring Qlik GeoAnalytics map charts.
Managing Security with Section Access - Qlik Sense Enterprise Client Managed
This module investigates Section Access, which is an additional layer of security that is defined in the load script within a Qlik Sense app. It is specific to the Qlik Sense Enterprise Client Managed versions of the software.
This module will investigate three options for classifying data using Qlik Sense script: The Class() function, the If() function, and the IntervalMatch prefix.
This module provides a detailed look at the properties which are available to configure the Map chart-type which is available as a standard Qlik Sense chart. The process of building Maps with multiple layers will be discussed. And, you will learn how to interact with the maps you have designed.
This module will provide business users with an overview of bar charts, including different types of bar charts, and how to interpret bar chart visualizations.
This module will provide business users with an overview of box plots, including different types of box plots, and how to interpret box plot visualizations.
This module will provide business users with an overview of combo charts, including different types of combo charts, and how to interpret combo chart visualizations.
This introductory course is designed to help the users understand what analytics is and why it is important. The course also touches upon how Qlik is here to help users develop their analytical skills.
This course is designed to help users gain an understanding of what signal and noise are, how the concept is applicable in the world today, and provide a few skills to help the user improve in their analytical skill-set.
This course is designed to help users gain an understanding of data, learn about different types and attributes of data, and help them understand why this information is important in the world today.
This course is designed to help users gain an understanding of data aggregations, learn about different types of aggregations, and help them understand why this information is important in the world today.
This course is designed to help users gain an understanding of distributions, learn about distributions and their part in analytics, and help them understand why this information is important in the world today.
This course is designed to help users gain an understanding of correlation and causation, learn about these concepts and their roles in analytics, and help them understand why this information is important in the world today.
This course is designed to help users gain an understanding of AB testing, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.
This course is designed to help users gain an understanding of simple linear regression analysis, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.
This course is designed to help users gain an understanding of data literacy and culture, learn about these concepts and their roles in today's world of data, and help them understand why this information is important in the world today.
This module will discuss the limitation capability which can be applied to certain chart types in order to limit the number of dimension values displayed in a visualization.
Implementing alternate states enables a comparative analysis between different datasets on the same sheet. Sheets and/or objects which no longer inherit the default state are independent from the rest of the document in terms of selections. In this way, selections on different objects on the same sheet can co-exist without interfering with one another.
This module will investigate several issues which you will commonly encounter when loading data into QlikView and resolve them with some essential scripting techniques.
Drill-down and Zoom-dependent Layer Display in Maps
This module provides a detailed look at the ability to configure standard Qlik Sense charts with multiple layers. You learn how to achieve complex map configurations, including drill-down or zoom level-dependent layer display. In addition, you see how map data is loaded from a KML file and experience the process of adjusting the scope of mapping matches to Qlik's geographic database.
This course is designed to help users gain an understanding of decision trees, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.
This module focuses on the Analyze step in the Data-Driven Decision Making Framework to provide you with information about the various techniques you may use to make decisions.
One of the most misinterpreted and misunderstood metrics out there are confidence intervals. You see confidence intervals often when working in the analytics world so gaining a deeper understanding on their purpose and power will be very helpful on strengthening and expanding your analytical development.
Hypothesis testing is an extremely powerful tool for conducting investigations and has been an invaluable tool in many fields from scientific research to industrial applications. This module explores this important topic.
This module discusses the process and value of clustering data in Qlik Sense. Clustering is a mathematical method for grouping data based upon similarities across multiple measures. The k-means clustering algorithm is applied in order to accomplish clustering based upon two measures (2D clustering) or more than two measures. In addition, the potential need to normalize data, and the option to determine the number of cluster groups relative to the degree of similarity of items grouped are discussed in this module.
This module explores the Data Gateway – Direct Access capability, which is a registered, authenticated connection for applications in Qlik Cloud to securely access on-premise data or data from a Virtual Private Cloud for analysis in Qlik Sense applications.
This module explores how to leverage a Qlik Cloud Business Glossary to standardize the definitions of your organization's keywords and short phrases, to develop, manage, and present a consistent set of logical categories and terms that are associated to Qlik apps and objects.
Direct Access Data Gateway: Introduction, Configuration, and Troubleshooting
In this path we cover basic installation, updating Direct Access and other maintenance tasks. The path also includes content on monitoring tools, Log files and retry mechanisms.
This learning path provides hands-on activities designed to help you understand the fundamental concepts of Qlik Cloud Data Products. You will discover how to explore data assets in Qlik Cloud Catalog, enhance data quality with Qlik Cloud capabilities, and create, update, and activate data products for consumption via the Data Marketplace.
Talend Data Catalog is a tool that combines data cataloging and metadata management.
This training helps business users and data analysts quickly understand how to address their typical use cases: finding data assets and determining their reliability and lineage.
In this learning path, you are introduced to the Talend Management Console and Dynamic Engine solution , it's architecture, advantages and how it can be deployed.
In this course, you learn about creating an Open Lakehouse using Qlik Talend Cloud Data Integration. You learn about Apache Iceberg tables and how to create them from content in a SQL database, storing the Iceberg tables and metadata in an Amazon Web Services S3 bucket. Examine two approaches to creating and managing iceberg table data. The first uses Qlik Talend Cloud to load, create, manage and process the data. The second uses Snowflake and Qlik Talend Cloud to load, create, manage and process the data.
In this Learning Plan, you configure Data APIS on a Gen 2 Remote Engine for Talend Cloud . You use these APIs to collect performance and usage metrics.
This course combines demonstrations and hands-on exercises to teach the concepts of deploying and administering a Qlik Sense Enterprise site.
This course is recommended for the following Qlik User roles:
System Administrators
Enterprise Architects
In this activity, you will learn how to implement the CI/CD command line zero installation feature using Talend 8. x. You will also learn how to troubleshoot the most common issues related to the CI/CD configuration, build, and deployment process.
Preparing Data for Analytics Using Data Integration Tools
In this activity, you prepare data for analytics use. You load data into Snowflake. Then, you use cloud apps to cleanse and prepare data. You use Studio to structure your data in a data mart. Finally, you connect your data mart to Qlik Sense and create visualizations.
This use case presents a single solution for using Qlik and Talend for real-time integration using Kafka. Qlik Replicate copies data from a source, either fully or only changed data. In real-time, Talend identifies records that may require further investigation by data stewards or further data preparation steps. The final data can then be stored in data lakes, trusted and ready to be consumed by AI learning engines and corporate decision-makers.
In this activity you learn about Qlik Replicate's ability to connect to different interfaces of an SAP system to ingest data and stream data updates to an external target in real time.
In this activity, you learn about Qlik Talend Clouds' ability to connect to different interfaces of an SAP system to ingest data and transform and write change data to an external target.
Qlik-embed is Qlik’s primary embedding framework. It simplifies the embedding of Qlik technologies while also increasing the potential breadth and depth of your integrations for both Qlik Cloud and Qlik Sense Enterprise client-managed. This course covers qlik-embed and the concepts needed to facilitate qlik-embed, like authentication and security.
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