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Qlik Sense for Beginners: Analyze and Visualize Data

New York, United States

The Non-degree in Qlik Sense for Beginners: Analyze and Visualize Data at Coursera Project Network is a program for international students taught in English.

📖 Introduction

The Coursera Project Network is a unique initiative within Coursera, a leading online learning platform founded in 2012. It is not a university, but rather a public, open-access platform that facilitates the creation and delivery of hands-on projects by experts and educators. The Coursera Project Network is distinguished by its focus on practical, project-based learning, enabling learners to apply their skills in real-world scenarios. This approach allows individuals to gain tangible, job-ready skills quickly and efficiently.

📚 About the Program

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.

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.

🏫 About the University

The Coursera Project Network offers a wide range of guided projects across various domains, including business, technology, data science, and more. These projects are designed to be completed in a short time frame, typically a few hours, providing learners with a quick and immersive learning experience. Through step-by-step instructions and hands-on practice, participants can build confidence in their abilities and directly apply what they learn to their personal or professional pursuits. The Coursera Project Network empowers learners to bridge the gap between theoretical knowledge and practical application, making it a valuable resource for skill development and career advancement.

💰 Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

✅ Entry Requirements

All students from all countries are eligible to apply to this program.

📬 Admissions Process


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