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Dashboards in Qlik Sense
Decision-Support Dashboards
Carlos Arias
Carlos Arias
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/g5ymm4/dashboards
What's inside
Syllabus
Project Overview
Good to know
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
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Activities
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Dashboards in Qlik Sense: Decision-Support Dashboards.
These are activities you can do either before, during, or after a course.
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
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.
Geospatial Analyst
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.
Software Engineer
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.
Product Manager
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.
Data Architect
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.
Data Visualization Specialist
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.
User Experience (UX) Designer
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.
Management Consultant
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.
Operations Research Analyst
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.
Actuary
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.
Business Intelligence Analyst
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.
Market Researcher
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.
Data Scientist
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.
Data Analyst
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.
Financial Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/g5ymm4/dashboards
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Dashboards in Qlik Sense: Decision-Support Dashboards.
Save
Provides a practical guide to designing effective dashboards. It covers all aspects of dashboard design, from data collection and analysis to visualization and communication.
Provides a comprehensive guide to machine learning with Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, from data preparation and cleaning to model training and evaluation.
Provides a comprehensive overview of data visualization principles and best practices. It covers a wide range of topics, from data preparation and cleaning to visual design and communication.
Provides a comprehensive guide to using Python for data analysis. It covers a wide range of topics, from data import and cleaning to statistical analysis and machine learning.
Provides a comprehensive introduction to data science. It covers a wide range of topics, from data collection and cleaning to statistical analysis and machine learning.
Provides a practical guide to deep learning with Fastai and PyTorch. It covers a wide range of topics, from data preparation and cleaning to model training and evaluation.
Presents a collection of real-world dashboard examples and case studies across various industries. Provides inspiration and best practices for creating impactful dashboards that effectively communicate insights.
Covers geospatial data analysis techniques using the R programming language. Provides practical examples and case studies on how to handle, process, and visualize spatial data, which enhances the course's focus on using Qlik Sense for spatial data analysis.
Provides a comprehensive understanding of data warehouse design and dimensional modeling. Covers best practices for data integration, data quality, and performance optimization, which can enhance the understanding of data management and preparation for dashboard creation.
Save
Provides a broader perspective on data science and its ethical implications. Explores the role of data in decision-making and discusses best practices for responsible data analysis.
Save
Provides a comprehensive guide to using Power BI, another leading business intelligence tool. Covers data modeling, data transformations, and visualization techniques, offering an alternative perspective on dashboard creation and data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/g5ymm4/dashboards
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Effort
1
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Carlos Arias
Language
English
Good to know
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
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