Qlik training
Education and Learning - Qlik training from the UK’s largest dedicated Elite partner
Qlik Training from Ometis is an education and learning program that helps new and existing users become competent in the Qlik platform.
We have a range of instructor-lead courses provided through our online platform.
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Every year we help hundreds of people unlock the power of Qlik
Ometis Education enables a rich mix of learning designed to maximise success of your development, deployment and use of Qlik. All courses are instructor-led using our dedicated learning platform. This provides a virtual classroom experience for up to 10 people at a time enabling the instructor to interact directly with each delegate.
We offer public and dedicated courses. Public courses offer best value for individuals but can include attendees from other organisations. Dedicated courses are perfect for larger groups or bespoke requirements.
Current planned courses
The cost is £500 per day and the total cost per person for the whole duration of the course is shown below.
Month | Dates | Course | Duration | Cost pp | Status |
September 2024 | 16/09 to 17/09 | Visualise Your Data | 2 days | £1,000 | Places available |
September 2024 | 18/09 to 20/09 | Model Your Data | 3 days | £1,500 | Places available |
October 2024 | 21/10 to 22/10 | Visualise Your data | 2 days | £1,000 | Places available |
October 2024 | 23/10 to 25/10 | Model Your Data | 3 days | £1,500 | Places available |
November 2024 | 18/11 to 19/11 | Visualise Your Data | 2 days | £1,000 | Places available |
November 2024 | 20/11 to 22/11 | Model Your Data | 3 days | £1,500 | Places available |
Qlik Sense Fundamentals
Learn the basics for using Qlik Sense to discover insights from your data.
The course is an introduction to how Qlik Sense works for end users. It teaches how to navigate around Qlik Sense dashboards and to ask questions of the data.
Class type: Online public course, instructor-led
Duration: 1/2 day
Cost: £250 per person
Target audience: End users that want to analyse their data using pre-built applications
- Explore the Qlik Cloud Hub
- Interact with a Qlik Sense app
- Perform searches
- Learn about the associative selection model
- Discover the value of bookmarks
- Interact with charts
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Navigate the Qlik Sense Cloud Hub
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Open Qlik Sense Apps
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Navigation within an App
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Search for data
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Interact with App Objects (Charts, Tables etc)
Visualise Your Data
Learn the fundamentals required to enable self-service visualisation and discovery.
The course combines demonstrations and hands-on exercises to teach the essential concepts for designing effective Qlik Sense visualisations and guided stories. You will also be given some tips to maximise your analysis within your apps. Additionally, you will look in depth at the different visualisations and select the appropriate one for your data and the type of questions you need to answer.
Class type: Online public course, instructor-led
Duration: 2 days
Cost: £500 per person per day
Target audience: Business Analysts and Data Architects
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Analysing data with Qlik Sense
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Preparing data for analysis
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Introducing visualisations
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Working with other visualisations and properties
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Controlling data selections
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Storytelling and finalising the app
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Build Qlik Sense dashboards
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Select the appropriate visualisation/s to answer your data questions
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Perform advanced analysis in a QS app
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Control selections applied to objects
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Build a simple data model and define the business logic
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Understand the concepts of data visualisation and types and how they are implemented in QS
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Prepare apps and share them with others
Model Your Data
Learn how to develop a coherent data model from multiple sources.
This is a technical course providing information, tools, techniques, and activities to enable users to maintain data connections, transform source data, architect data models, optimising them for performance, and application development on Qlik Sense.
Class type: Online public course, instructor-led
Duration: 3 days
Cost: £500 per person per day
Target audience: Business Analysts and Data Architects
- Modeling data with Qlik Sense
- Sourcing and loading data
- Resolving common modeling issues
- Generating data
- Combining tables
- Handling advanced modeling challenges
- Developing and Debugging
- Applying finishing touches
- Exploring security and advanced concepts
- Create a data model in Qlik Sense
- Use the Data Load Editor and the Data Manager
- Create and maintain data connections
- Resolve data structure issues and script errors
- Transform data for better performance
- Discuss synthetic keys and circular references
- Implement document-level security
- Add simple data validation visualisations
Qlik Geo-Analytics
Learn how to work with location-based data for mapping.
Qlik GeoAnalytics is an advanced suite of location intelligence tools. This course teaches how to leverage a variety of layer types, how to add multiple map layers, and to perform geospatial operations like aggregate, geometric, lookup, and routing. This course enables business analysts to leverage Qlik GeoAnalytics with their mapping and location based analytical needs.
Class type: Online public course, instructor-led
Duration: 1 days
Cost: £500 per person per day
Target audience: Business Analysts and Data Architects
Course prerequisites: Be able to create visualisations in Qlik Sense
- Introduction to GeoAnalytics
- Creating Map Layers
- Configuring Aggregate Operations
- Resolving Location Errors and Data Mismatches
- Configuring Map Settings
- Understanding of Qlik GeoAnalytics
- Understanding configuration options
- Resolving location errors and data mismatches
- Configuring map layers and applying multiple layers
- Configure and process geospatial operations
Create Reports With NPrinting
Learn how to build and distribute static reports.
The Create Reports with Qlik NPrinting course is intended for business analysts who need to be able to build and distribute static reports based on Qlik Sense products. The course will cover web console configuration, generation of reports, the NewsStand environment, report distribution options, and user access management.
Class type: Online public course, instructor-led
Duration: 1 days
Cost: £500 per person per day
Target audience: Business Analysts
Course pre-requisites: Be familiar with generic Qlik Sense application design
- Introduction to Qlik NPrinting
- Qlik NPrinting process flows
- PowerPoint reports
- Word reports
- Excel reports
- PixelPerfect reports
- HTML reports
- Filters and other reports
- Publishing reports
- Security (Optional)
- Explain how NP fits within portfolio
- Explain the product components and architecture
- Configure Qlik NPrinting Web Console
- Create Qlik NPrinting Apps and data connections. Develop reports based on single and multiple sources.
- Apply filters and conditions to Qlik NPrinting reports
- Manage recipients and distribute reports in multiple ways.
- Create users and security roles. Distribute reports with data reduction based on recipients.
Advanced Scripting and Modeling
Take your Qlik Sense development skills to the next level.
This course follows on from the Model Your Data with Qlik Sense course. Here we cover advanced scripting capabilities including working with dates, solving data classification problems, handling problems associated with loading data from cross tables and generic databases, and learning to propagate values, generate accumulated amounts, and work with simulations.
Class type: Online public course, instructor-led
Duration: 2 days
Cost: £500 per person per day
Target audience: Business Analysts and Data Architects
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Understanding of Qlik script, expressions & functions
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Attend Model Your Data With Qlik Sense
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6+ months experience of Qlik as a business analyst or data architect with understanding of ETL.
- Dates in the Data Load Script
- Classifying Data
- Working with crosstables and generic loads
- Generating missing data
- Working with QlikViewData (QVD) files
- Advanced set analysis
- Comparative analysis
- Advanced calculations
- Advanced script transformations
- Incremental loads
- Debugging and troubleshooting
- Working with dates
- Solving data classification problems
- Loops and nested loops
- Advanced set analysis
- Converting null values
- Applying subroutines
- Alternate states comparison
- Creating and loading QVDs
- Multiple QVD layering
- Incremental loading
- Pareto, basket and Mote Carlo
- Debugging processes
- Clustering and classification techniques
Advanced Visualisation
Expand use of expressions and variables to develop complex yet easy to maintain expressions.
This course builds on the Visualise Your Data with Qlik Sense course. It covers the effective and expanded usage of variables and expressions with Qlik Sense. Although simple expressions can be made with ease in Qlik Sense without any typing, more complex expressions require some thorough understanding about their structure. With complex expressions, considerations arise for maintainability and flexibility. Variables allow you to develop complex and easy to maintain expressions. This course enables you to get your questions answered.
Class type: Online public course, instructor-led
Duration: 1 day
Cost: £500 per person per day
Target audience: Business Analysts
Course pre-requisites: Visualise Your Data With Qlik Sense
- Introduction to string functions
- Working with variables
- Nested aggregations
- Introduction to set expressions
- Advanced set expressions
- HTML reports
- Filters and other reports
- Publishing reports
- Security (Optional)
- Utilising string functions
- Defining and using variables
- Create nested expressions and aggregations
- Using “set” expressions
- Understand performance implications
- Creating and loading QlikView Data (QVD) files
Data Engineering with QCDI
Learn how to create efficient data pipelines, from raw to analytics-ready.
This course is an introductory, instructor-led course focusing on understanding the QCDI platform, and how to create data pipelines. It then leads onto data pipeline principles, and how you can utliise QCDI to fulfill both data governance and data quality functions, and how you can utilise application automations to orchestrate your data processes.
Class type: Online public course, instructor-led
Duration: 2 days
Cost: £750 per person per day
Target audience: Data engineers and data analysts who are interested in understanding the functional capabilities of QCDI and best practices around creating data pipelines
Course pre-requisites: Intermediate SQL knowledge
- Understanding the technology
- Software navigation
- Data spaces
- Configuration
- Data security layer
- Data quality
- Query and cost optimisation
- Data mart best practices
- Integrations with Application Automations
- Creating data pipelines in QCDI
- Creating data marts in QCDI
- Introduction to the Snowflake data platform
- Understanding and managing secure data
Become a Data Literate Leader
Learn how to develop and enhance your ability to leverage data.
Critical and analytical thinking are key skills in today’s data-driven world and help make effective leaders. This workshop is flexible being able to be delivered in one-day or two half-days. Leaders will develop and enhance their ability to leverage data, and lead teams to leverage data through an immersive experience consisting of lectures, case study discussions, collaborative exercises and interactive experiential simulations incorporating teamwork and collaboration proving first-hand use with Data-Informed Decision Making.
Class type: Online public course, instructor-led
Duration: 1 days
Cost: £750 per person per day
Target audience: Executives and Senior Managers, who would benefit from a better understanding of how to leverage analytics in decision making.
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Interpreting visualisations
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Utilise the four levels of analytics properly from a beginning perspective
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Communicating with Data
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Data and Analytics Strategy
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Value of Data Literacy to organisations
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Role of leadership in data and analytics
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Characteristics of a data-driven culture
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How to drive positive behaviors for the use of data within your organisation
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What is data-driven process?
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Developing stronger business KPIs
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Framework for making decisions with data
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Learning to ask good (analytical business) questions