Qlik Sense Data Analytics & Business Intelligence Course

Learn the fundamentals of the Qlik Sense data analytics platform, its in-memory, self-service BI, storytelling dashboards, and cloud lab setup for collaborative, interactive data exploration.

Introduction to data modeling with Qlik Sense data manager shows how to connect to multiple databases, load data into memory, and define aliases for efficient analytics.

Create a data model in Qlik Sense using the data load editor and data manager, establishing primary keys and automatic associations. Drag-and-drop transformations enable schema changes without coding.

Discover how to build a Qlik Sense data model with data load, manage joins and connections, and avoid circular references and synthetic keys through qualifying.

Explore data connections using REST API, Excel, inline load, and resident load; build a Qlik Sense data model and master joins with keep vs join.

Learn to build a data model with dimensions, drilldown dimensions, and measures, and create relations across multiple data sources. Explore loading, joining, and managing in-memory data with various connections.

Explore Qlik Sense data analytics basics by building a country dashboard with bar charts, filter panes, and single and multi-dimensional analyses using master items and dimensions.

Explore how to design dashboards in Qlik Sense using master items, dimensions and measures, build line and area charts, and perform drilldown and multi-dimensional analysis with KPI controls.

Learn to use box plot, bullet chart, combo chart, distribution plot, and a container in Qlik Sense to build dashboards with sales, orders, and customer insights.

Explore box plot for sales range analysis and master bullet chart, container object, distribution plot, and histogram to analyze targets, actuals, and multidimensional data.

Explore viz basics, map object, scatter plot, and waterfall chart in Qlik Sense, and master multi-dimensional analysis, segmentation, and dynamic data storytelling.

Explore geographical analysis in Qlik Sense with map object, layering country data and plotting locations by longitude and latitude. Color by measures and create density maps and scatterplots for insights.

Learn how to create, duplicate, and configure reporting objects in Qlik Sense, build expandable pilot tables of customers, orders, and line items, and apply conditional formatting for clear insights.

Explore how to build a data warehouse by integrating multiple sources, design star and snowflake schemas, and model facts and dimensions for analytics and reporting.

Explore bookmark workflows, storytelling, and snapshots in Qlik Sense, using a master calendar and seed library to craft reproducible selections and presentation-ready dashboards.

Learn to use set analysis to create conditional measures, including if, match, and dollar-sign modifiers; build mapping and master tables with applymap for dynamic mashups and extensions in Qlik Sense.

Explore building on-the-fly mashups with Hypercube in Qlik, drag-and-drop visualizations, and third-party extensions, while understanding data models, callbacks, and JavaScript foundations.

Explore migrating from click documents to Qlik Sense collections with the migration tool, preserving data models, dimensions, and measures while setting up section access, document level, and data level security.

Learn how section access, document level and data level security control who can view dashboards and data, using a section access table, authentication, and conditional sheet visibility.

Explore common interview questions on data warehousing and business intelligence, covering star and snowflake schemas, fact and dimension tables, and the role of business requirement documents and data dictionaries.