Dashboards in Qlik Sense: Decision-Support Dashboards from Coursera

Within this 1-hour long guided project you will learn how to create decision-support interactive dashboards merging economic and spatial data with Qlik Sense. These types of dashboards graphically represent the best locations for data-driven decisions.

You will learn how to:

- Connect multiple distinct data sources to a common data pool

- Elaborate interactive data visualizations and perform data discoveries

- Display spatial data using data density overlaid on a map

You will build an interactive dashboard to support the decision on where are the best spots to setup a new petrol station. To facilitate this decision, you will display all current petrol stations on a interactive map with their historical prices. This dashboard will assist in identifying the most suitable locations for each customer segment to set up a new petrol station.

The course is aimed to provide a guided introduction on how to create interactive dashboards with Qlik Sense and no previous knowledge is required.

After completing the course you will be able to create decision-support interactive dashboards to support data-driven decisions with minimal cognitive load by decision makers.

What's inside

Syllabus

Project Overview

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Beginners with minimal background knowledge in data visualization and Qlik Sense will benefit the most from this course

Provides a strong foundation for learners new to interactive dashboard creation with Qlik Sense

Taught by recognized expert Carlos Arias, the course leverages his expertise in data visualization and spatial data

Covers comprehensive topics on connecting multiple data sources, creating interactive data visualizations, and displaying spatial data

The guided project format ensures a hands-on approach, enhancing practical understanding

The course includes a mix of videos, readings, and interactive materials to enhance learning

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 Dashboards in Qlik Sense: Decision-Support Dashboards with these activities:

Build a sample data visualization dashboard using Qlik Sense

Show steps

Create a sample dashboard to practice using Qlik Sense and reinforce the concepts learned in the course.

Browse courses on Qlik Sense

Show steps

Create a new Qlik Sense app and connect to a sample data source.
Create a visualization by dragging and dropping data fields onto the canvas.
Add interactivity to the dashboard by creating filters and drill-downs.
Publish the dashboard and share it with others.

Design a decision-support dashboard for a real-world business scenario.

Show steps

Apply the skills learned in the course to create a practical dashboard that can be used to make data-driven decisions in a real-world setting.

Browse courses on Decision Support Systems

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Identify a business scenario that requires a decision-support dashboard.
Gather and analyze data relevant to the business scenario.
Design the dashboard layout and visualizations based on the data analysis.
Implement the dashboard using Qlik Sense.
Evaluate the dashboard's effectiveness and make improvements as needed.

Show all two activities

Career center

Learners who complete Dashboards in Qlik Sense: Decision-Support Dashboards will develop knowledge and skills that may be useful to these careers:

Cartographer

Cartographers use data to create maps and other visual representations of geographic information. They may work in a variety of industries, including environmental science, urban planning, and transportation. This course can help aspiring Cartographers build a strong foundation in data visualization. It will teach them how to create interactive visualizations and perform data discoveries. This course may also be helpful for Cartographers who want to learn more about spatial data visualization.

See salaries and explore the career path for Cartographer

Geospatial Analyst

Geospatial Analysts use data to analyze and visualize geographic information. They may work in a variety of industries, including environmental science, urban planning, and transportation. This course can help aspiring Geospatial Analysts build a strong foundation in data visualization. It will teach them how to create interactive visualizations and perform data discoveries. This course may also be helpful for Geospatial Analysts who want to learn more about spatial data visualization.

See salaries and explore the career path for Geospatial Analyst

Software Engineer

Software Engineers use data to develop and maintain software applications. They may work in a variety of industries, including technology, healthcare, and retail. This course can help aspiring Software Engineers build a strong foundation in data visualization. It will teach them how to create interactive visualizations and perform data discoveries. This course may also be helpful for Software Engineers who want to learn more about spatial data visualization.

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Product Manager

Product Managers use data to develop and launch new products. They may work in a variety of industries, including technology, healthcare, and retail. This course can help aspiring Product Managers build a strong foundation in data visualization. It will teach them how to create interactive visualizations and perform data discoveries. This course may also be helpful for Product Managers who want to learn more about spatial data visualization.

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Data Architect

Data Architects design and build data systems. They may work in a variety of industries, including technology, healthcare, and retail. This course can help aspiring Data Architects build a strong foundation in data visualization. It will teach them how to create interactive visualizations and perform data discoveries. This course may also be helpful for Data Architects who want to learn more about spatial data visualization.

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Data Visualization Specialist

Data Visualization Specialists use data to create visual representations of information. They may work in a variety of industries, including marketing, journalism, and finance. This course can help aspiring Data Visualization Specialists build a strong foundation in data visualization. It will teach them how to create interactive visualizations and perform data discoveries. This course may also be helpful for Data Visualization Specialists who want to learn more about spatial data visualization.

See salaries and explore the career path for Data Visualization Specialist

User Experience (UX) Designer

UX Designers use data to improve the user experience of websites and apps. They may work in a variety of industries, including technology, healthcare, and retail. This course can help aspiring UX Designers build a strong foundation in data visualization. It will teach them how to create interactive visualizations and perform data discoveries. This course may also be helpful for UX Designers who want to learn more about spatial data visualization.

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Management Consultant

Management Consultants use data to help businesses improve their performance. They may work in a variety of industries, including healthcare, manufacturing, and retail. This course can help aspiring Management Consultants build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Management Consultants who want to learn more about spatial data analysis.

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Operations Research Analyst

Operations Research Analysts use data to improve business operations. They may work in a variety of industries, including manufacturing, logistics, and healthcare. This course can help aspiring Operations Research Analysts build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Operations Research Analysts who want to learn more about spatial data analysis.

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Actuary

Actuaries use data to assess risk. They may work in a variety of industries, including insurance, banking, and healthcare. This course can help aspiring Actuaries build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Actuaries who want to learn more about spatial data analysis.

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Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They may work in a variety of industries, including finance, healthcare, and retail. This course can help aspiring Business Intelligence Analysts build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Business Intelligence Analysts who want to learn more about spatial data analysis.

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Market Researcher

Market Researchers use data to understand consumer behavior. They may work in a variety of industries, including marketing, advertising, and retail. This course can help aspiring Market Researchers build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Market Researchers who want to learn more about spatial data analysis.

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Data Scientist

Data Scientists use data to solve complex problems. They may work in a variety of industries, including finance, healthcare, and retail. This course can help aspiring Data Scientists build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Data Scientists who want to learn more about spatial data analysis.

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Data Analyst

Data Analysts use data to identify trends and patterns that can help businesses make better decisions. They may work in a variety of industries, including finance, healthcare, and retail. This course can help aspiring Data Analysts build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Data Analysts who want to learn more about spatial data analysis.

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Financial Analyst

Financial Analysts use data to make investment decisions. They may work in a variety of industries, including banking, investment management, and insurance. This course can help aspiring Financial Analysts build a strong foundation in data visualization and analysis. It will teach them how to connect multiple data sources, create interactive visualizations, and perform data discoveries. This course may also be helpful for Financial Analysts who want to learn more about spatial data analysis.

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