Data Ingestion, Exploration & Visualization in Qlik Sense

Instructors: Henry Habib +1 more

What you'll learn

  •   Data ingestion for visualization involves loading data from various sources, cleaning and transforming it, and creating multi-table data models.
  •   Create interactive visuals & dashboards with a user-friendly drag-and-drop interface, diverse chart types, and filters using add-ons.
  •   Tailor dashboard functionality and looks to meet audience needs with appearance adjustments, dimensions, and sorting tools.
  • Skills you'll gain

  •   Dashboard
  •   Data Import/Export
  •   Data Manipulation
  •   Data Transformation
  •   Data Presentation
  •   Key Performance Indicators (KPIs)
  •   Interactive Data Visualization
  •   Data Cleansing
  •   Data Visualization Software
  •   Data Analysis
  •   Data Modeling
  • There is 1 module in this course

    The second of a series of three courses on Qlik Sense emphasizes the significance of moving beyond basic chart creation. In today's data-driven landscape, businesses and professionals require more than simple visualizations to gain a competitive edge. They need to develop a system of highly customized and tailored dashboards that precisely align with their unique data needs. These dashboards serve as powerful tools for effective decision-making and data-driven insights. For example, marketing teams can benefit from dashboards that provide real-time metrics on campaign performance, audience engagement, and conversion rates. This course provides a comprehensive understanding of data visualization with Qlik Sense. It begins with data ingestion and visualization, including how to load data from various sources, how to clean data, and how to build data models. The course then goes through how to create sophisticated charts and dashboards, with intermediate concepts like filters and expression. Finally, the course demonstrates how to apply personalization to tailor the functionality and look of the dashboard. This course is tailored for those looking to advance their data visualization skills with Qlik Sense. It's ideal for data analysts seeking to craft compelling narratives or arguments through data, as well as individuals aiming to effortlessly transform datasets into actionable graphs using Qlik Sense. To excel in this course, intermediate-level learners should have the following prerequisites: a basic grasp of Qlik Sense, familiarity with simple Excel functions or similar spreadsheet software, a foundational understanding of data statistics (e.g., mean, sum, etc.), and an enthusiastic, proactive learning approach.

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