Introduction to Data Visualization in Qlik Sense from Coursera

Data visualization is especially important today with the increased amount and velocity of data that companies capture daily, and a system is needed to ingest and make sense of all this data for improved decision-making.

This course provides a comprehensive understanding of data visualization within the context of business intelligence. It begins by covering the foundational concepts, advantages, and risks associated with data visualization We then shift our focus to the specialized tool Qlik Sense, examining its key features, competitive advantages, workflow, and terminology. Finally, the course provides hands-on experience creating simple interactive visualizations using real-life data.

As a foundational course of a series of three Qlik Sense learning opportunities, "Introduction to Data Visualization" sets the foundation, introducing you to the art and science of visualizing data effectively. In "Exploration and Visualization with Qlik Sense," you'll go deeper, honing your skills in navigating and presenting data with this powerful tool. Finally, "Advanced Data Analysis and Collaboration" takes your expertise to new heights, equipping you with advanced techniques to analyze and collaborate on data-driven insights. Whether you are beginning the journey or an experienced data enthusiast, this series offers a seamless transition from fundamentals to advanced proficiency, ensuring you're well-equipped to excel in the world of data visualization.

This program is designed for anyone interested in data visualization. This includes data analysts and project managers, who want to present a story or an argument through data, or individuals who want to simply take a dataset and create actionable graphs from it using Qlik Sense.

Learners should ideally possess the following prerequisite skills: Basic Excel knowledge or other spreadsheet software; understanding of data statistic fundamentals such as mean, sum, etc.; and an active learning mindset.

What's inside

Syllabus

Introduction to Data Visualization with Qlik Sense

Upon completion of this course, you will be equipped with a solid understanding of the principles of data visualization and its role in business intelligence. These new skills will ultimately improve communication, decision making and efficiency across job functions and projects. You will also gain expertise in using Qlik Sense, a leading data visualization tool, and be capable of creating interactive and insightful visualizations from real-world data to address specific business questions. This skill set will enable you to make data-driven decisions and provide valuable insights in a business environment.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers introductory principles of data visualization, setting a strong base for understanding how to use data for better communication and decision-making

Provides practical hands-on training through real-life data, enabling learners to apply newly acquired skills

Focuses on Qlik Sense, a leading data visualization tool, giving learners the opportunity to build proficiency in a sought-after industry standard

Serves as a foundational course, creating a strong foundation for learners who are new to data visualization or want to enhance their skills

Requires active learning mindset and basic Excel knowledge, making it accessible to a wide range of learners with varying backgrounds

Tailored for data analysts, project managers, and beginners interested in data visualization and leveraging data for insights

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Data Visualization in Qlik Sense with these activities:

Connect with Data Visualization Experts

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Connecting with experts in the field will provide you with valuable insights, mentorship, and networking opportunities, enhancing your learning experience and career prospects.

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Attend industry events or webinars related to data visualization.
Reach out to professionals on LinkedIn or other platforms.
Join online communities or forums dedicated to data visualization.

Review Data Visualization Fundamentals

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Reviewing the foundational concepts of data visualization will help you refresh your existing knowledge and prepare you for the more advanced topics covered in this course.

Browse courses on Data Visualization

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Go over basic terminologies, principles, and techniques of data visualization.
Consider how data visualization can enhance decision-making and communication.
Discuss the role of data visualization in business intelligence.

Explore Qlik Sense Features

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Taking guided tutorials on Qlik Sense will help you familiarize yourself with its key features and capabilities, enhancing your learning experience in this course.

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Follow online tutorials or documentation on Qlik Sense.
Explore the Qlik Sense interface and its various components.
Practice using Qlik Sense's drag-and-drop functionality.

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Explore Qlik Sense Tutorial

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Following guided tutorials on Qlik Sense will provide hands-on experience and familiarize you with the tool's features.

Browse courses on Qlik Sense

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Locate and access the official Qlik Sense tutorial website.
Choose the appropriate tutorial for your skill level.
Follow the step-by-step instructions and complete the exercises.

Practice Creating Data Visualizations

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Regular practice in creating data visualizations will improve your skills and deepen your understanding of the concepts taught in this course.

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Choose a dataset and explore it.
Identify the key insights you want to communicate.
Select appropriate visualization techniques.
Create the visualization using a tool like Qlik Sense.

Analyze Data using Qlik Sense

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By practicing data analysis using Qlik Sense, you can apply the skills and knowledge gained in this course, leading to improved outcomes.

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Use Qlik Sense to load and connect to data sources.
Explore data using Qlik Sense's exploration features.
Perform basic data analysis tasks, such as filtering, sorting, and calculations.
Create interactive visualizations to communicate your findings.

Create Simple Qlik Sense Visualizations

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Creating simple visualizations using real-life data will enhance your understanding of data visualization principles and Qlik Sense's capabilities.

Browse courses on Interactive Dashboards

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Gather a dataset that aligns with the course content.
Import the data into Qlik Sense.
Create various visualizations (e.g., bar charts, line graphs).

Develop a Data Visualization Dashboard

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Creating a data visualization dashboard will allow you to demonstrate your understanding of the concepts covered in this course and showcase your skills in using Qlik Sense.

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Define the purpose and audience of your dashboard.
Select relevant data sources and metrics.
Design the layout and structure of your dashboard.
Implement the dashboard using Qlik Sense.
Test and refine your dashboard for usability and effectiveness.

Participate in Data Visualization Challenges

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Participating in data visualization challenges will test your skills, encourage innovation, and provide opportunities to learn from others in the field.

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Identify relevant data visualization competitions or challenges.
Form a team or work individually to develop a solution.
Submit your entry and receive feedback from judges.

Write a Blog Post or Article on Data Visualization

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Writing about data visualization will help you solidify your understanding of the concepts and share your knowledge with others, contributing to the community and your professional growth.

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Choose a specific topic related to data visualization.
Research and gather information on the topic.
Write a well-structured and informative blog post or article.
Publish your content on a relevant platform.

Career center

Learners who complete Introduction to Data Visualization in Qlik Sense will develop knowledge and skills that may be useful to these careers:

Market Researcher

Market Researchers collect and analyze data to help businesses understand their customers and make better decisions. Data visualization is an essential skill for Market Researchers, as it allows them to present their findings in a way that is easy to understand.

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Data Analyst

A Data Analyst should have a solid understanding of data visualization principles and be proficient in using data visualization tools. The course will help a Data Analyst to improve their data visualization skills, learn how to create interactive and insightful visualizations, and gain expertise in using Qlik Sense.

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Financial Analyst

Financial Analysts help businesses make financial decisions. Data visualization is an essential skill for Financial Analysts, as it allows them to communicate their findings to stakeholders in a clear and concise way and identify trends and patterns in financial data.

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Product Manager

Product Managers are responsible for developing and launching new products. Data visualization can help Product Managers to understand customer needs, track product performance, and make better decisions about product development. This course will help Product Managers develop their data visualization skills and learn how to use Qlik Sense.

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Business Intelligence Analyst

Business Intelligence Analysts help businesses make better decisions by providing them with insights into their data. Data visualization is an essential skill for Business Intelligence Analysts, as it allows them to communicate their findings to stakeholders in a clear and concise way as well as identify trends and patterns in data.

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Data Scientist

Data Scientists must be able to communicate their findings to stakeholders in a clear and concise way. Data visualization is an essential skill for Data Scientists, as it allows them to present their findings in a way that is easy to understand. This course will help Data Scientists to develop their data visualization skills and learn how to use Qlik Sense to create interactive and insightful visualizations.

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Project Manager

Project Managers are responsible for planning, executing, and closing projects. Data visualization can help Project Managers to track project progress, identify risks, and make better decisions.

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Marketing Manager

Marketing Managers are responsible for developing and implementing marketing campaigns. Data visualization can help Marketing Managers to understand customer needs, track campaign performance, and make better decisions.

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Sales Manager

Sales Managers are responsible for leading and motivating sales teams. Data visualization can help Sales Managers to track sales performance, identify opportunities, and make better decisions.

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Operations Manager

Operations Managers are responsible for planning and executing business operations. Data visualization can help Operations Managers to identify inefficiencies, improve processes, and make better decisions.

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Customer Service Manager

Customer Service Managers are responsible for managing customer service operations. Data visualization can help Customer Service Managers to track customer satisfaction, identify areas for improvement, and make better decisions.

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Information Technology Manager

Information Technology Managers are responsible for planning and managing information technology systems. Data visualization can help Information Technology Managers to identify system issues, track system performance, and make better decisions.

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Human Resources Manager

Human Resources Managers are responsible for managing and developing employees. Data visualization can help Human Resources Managers to track employee performance, identify training needs, and make better decisions.

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Supply Chain Manager

Supply Chain Managers are responsible for managing the flow of goods and services. Data visualization can help Supply Chain Managers to track inventory levels, identify supply chain disruptions, and make better decisions.

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Consultant

Consultants help businesses solve problems and improve performance. Data visualization can help Consultants to communicate their findings to clients in a clear and concise way and identify trends and patterns in data.

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