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Qlik Sense for Beginners: Analyze and Visualize Data

Offered By: Coursera Project Network via Coursera

Tags

Qlik Courses Data Analysis Courses Data Visualization Courses Storytelling Courses Qlik Sense Courses

Course Description

Overview

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In this hands-on project, learners will develop the essential skillset to excel in data analysis and storytelling using Qlik Sense. Through guided instruction, learners will become proficient in navigating the Qlik Sense platform, harnessing its powerful features, and efficiently loading data for analysis. By integrating multiple datasets, learners will conduct a comprehensive customer churn analysis, capitalizing on Qlik Sense's Auto-Analysis capabilities to uncover meaningful patterns, derive insights, and make informed business decisions. Using tables and charts, learners will analyze diverse datasets, including Customer Churn, Customer Interactions, and Customer Sentiment, and effectively communicate valuable insights and recommendations to stakeholders. This project will equip learners with the necessary knowledge and expertise to excel in data analysis, storytelling, and driving informed decision-making using Qlik Sense. Prior knowledge of basic data analysis concepts and familiarity with Qlik Sense is recommended before engaging in this project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

  • Qlik Sense for Beginners: Analyze and Visualize Data
    • Develop the essential skill set to excel in data analysis and storytelling using Qlik Sense. Become proficient in navigating the Qlik Sense platform, harnessing its powerful features, and efficiently loading data for analysis. By integrating multiple datasets, you will conduct a comprehensive customer churn analysis, capitalizing on Qlik Sense's autoanalysis capabilities to uncover meaningful patterns, derive insights, and make informed business decisions. Using tables and charts, you will analyze diverse datasets, including customer churn, customer interactions, and customer sentiment, and effectively communicate valuable insights and recommendations to stakeholders.

Taught by

Frances Suazo and Jonathan Owen

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