Data Ingestion, Exploration & Visualization in Qlik Sense
- Offered byCoursera
Data Ingestion, Exploration & Visualization in Qlik Sense at Coursera Overview
Duration | 2 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Data Ingestion, Exploration & Visualization in Qlik Sense at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
Data Ingestion, Exploration & Visualization in Qlik Sense at Coursera Course details
- 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.
- This course is an intermediate-level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key prerequisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization. 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.
Data Ingestion, Exploration & Visualization in Qlik Sense at Coursera Curriculum
Data Ingestion, Exploration, and Visualization with Qlik Sense
Introduction to the course and Meet your Instructor
Efficient data loading in qlik sense
Exploring data fields in qlik sense
Mastering data cleaning and calculated fields in qlik sense
Data transformation techniques in qlik sense
Unlocking insights with associative data modeling in qlik sense
Mastering common charts (bar, line, pie, histogram)
Information-level charts (gauge, KPI, text, image)
Modifying dimensions and measures
From charts to dashboards
Simple expressions and practical use-cases
Interactive features (filter panes and add-ons)
Crafting compelling titles in qlik sense
Exploring new dimensions: leveraging alternative dimensions for deeper insights
Form meets function: design and styling in qlik sense
Welcome to the course: Course Overview
How to prepare excel files for loading with qlik view
Aggregation functions in qlik sense
Changing the appearance of a visualization using qlik
Final assessment