Capability Development / Data Analytics
QlikView and Qlik Predict for Power BI Professionals
This training is designed for Power BI users who want to expand into QlikView's guided, associative analytics and Qlik Predict's no-code machine learning. It connects familiar Power BI concepts — data models, visuals, dashboards, KPIs, and reporting — with QlikView's associative engine and Qlik Predict's predictive capabilities. Participants build guided dashboards, explore data freely, prepare prediction-ready datasets, and generate business forecasts through hands-on labs and a capstone project.
Program Overview
This training is designed for Power BI users who want to expand into QlikView's guided, associative analytics and Qlik Predict's no-code machine learning. It connects familiar Power BI concepts — data models, visuals, dashboards, KPIs, and reporting — with QlikView's associative engine and Qlik Predict's predictive capabilities. Participants build guided dashboards, explore data freely, prepare prediction-ready datasets, and generate business forecasts through hands-on labs and a capstone project.
Audience Profile
Power BI users who want to learn QlikView and Qlik Predict; Business Analysts, Data Analysts, MIS Executives, and Reporting Professionals; Professionals working with dashboards, KPIs, and guided analytics; Teams exploring predictive analytics without deep coding; and Learners building multi-tool BI and predictive analytics capability.
Course Syllabus
QlikView for Power BI Users
Topics
- Power BI vs QlikView mindset
- QlikView interface, documents, sheets, and objects
- Associative engine and selection-based analysis
Data Loading and Modelling
Topics
- Connect to Excel, CSV, databases, and business data
- Scripts, tables, joins, and associations
- Build simple QlikView data models
Guided Analytics and Dashboards
Topics
- Create charts, tables, KPIs, filters, and list boxes
- Design guided analytics applications
- Build dashboard flows for business users
QlikView Expressions and Analysis
Topics
- Expressions, aggregations, and calculations
- Set analysis for focused insights
- Comparing Qlik expressions with Power BI DAX concepts
Introduction to Qlik Predict
Topics
- Understanding no-code predictive analytics
- Defining prediction use cases and target outcomes
- Preparing historical data for machine learning
Predictive Models and Insights
Topics
- Creating classification, regression, and forecasting models
- Interpreting model results and key drivers
- Using predictions in dashboards and decisions
Publishing and Capstone Project
Topics
- Sharing, governance, and deployment concepts
- Build a guided analytics dashboard
- Create a prediction-ready business use case
Labs / Practice
- Build a QlikView Sales Performance Dashboard
- Create guided selections for customer and product analysis
- Develop expressions and KPIs for business reporting
- Prepare historical data for prediction scenarios
- Create a Qlik Predict churn or sales forecast use case
- Present a final BI and predictive analytics project