Description
In this course, you will learn :
- Begin by loading and shaping data in our first app using the Data Manager.
- Understand the concepts of associative models.
- Make sheets with charts, tables, and key performance indicators (KPIs).
- Understand the four types of application tiers.
- Alternative states for comparison.
- The schema types are star and snowflake.
- How to create data models based on user needs.
- Load data from various data source types.
- Recognize Joins, IntervalMatch, Crosstable, FirstSortedOrder, and Rank.
- Incremental loads with flow control subroutines.
- Dimensions are gradually shifting.
- Validate the data using a variety of techniques.
- Create technical specifications and design the sheet layout.
- Using element (E) and position (P) functions within a set expression.
- The importance of canonical calendars and how to use them.
- Geo analytics with metrics that can be switched on and off.
- Measures, Dimensions, and Visualizations are examples of master items.
- For example, security. Data compression.
- Data storytelling and mashups
- QlikView documents should be migrated to Qlik Sense.
- Simple to complex code set expressions, including date range expressions.
- The D A R concept, which is common in enterprise solutions, is used in development.
- Investigate the features of the Qlik Sense visualisation bundle.
- To fully appreciate Qlik Sense, understand the theory behind the scenes, which is explained in vivid detail.
- In your load script, include pre-aggregations and flags.
- Create data load scripts that are efficient.
- This course covers so much more than what is included in this list.
- Experiment with assignment exercises to hone your skills.
- To ensure your understanding, take the quizzes.
Syllabus :
- QS Start-up - Developer Setup
- The Data Manager
- Visualising data
- ----- QSDA - Qlik Sense Data Architect -----
- QSDA - Identify Requirements for Data Models (16% of the exam)
- Design Data Models (28% of the exam)
- Build Data Models (34% of the exam)
- Validate Data (22% of the exam)
- ----- QSBA - Qlik Sense Business Analyst -----
- QSBA - Identify Requirements (23% of the exam)
- Design Application (22% of the exam)
- Prepare and Load Data (25% of the exam)
- Develop Application (30% of the exam) - Dashboard
- Analysis
- Reporting
- Merge Applications
- Implement the Security Model
- Mashup development
- QlikView to QlikSense app converter
- Narrate (Story telling)
- Complex expressions