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Diana Pholo
In this 1-hour long project-based course, you will acquire the skills to construct the fundamental framework of an R Shiny application, develop an interactive dashboard using Shiny, and design a user-friendly interface.
Upon completing this project, you will possess the expertise to create advanced and responsive Shiny dashboards, adeptly incorporate external datasets, apply dynamic visualizations with ggplot, and establish user-friendly interfaces that dynamically adapt to user inputs.
Register for this course and see more details by visiting:
OpenCourser.com/course/kawodl/dashboard
What's inside
Syllabus
Project Overview
In this project-based course, "Dashboard Development with Shiny: GenAI for Retail Analysis," you will learn how to create interactive dashboards using the R Shiny package. We use a practical approach, focusing on sales data from a fictional bookshop, to teach the complete process of building a dynamic Shiny dashboard. This course is intended for intermediate learners, with R Shiny as the primary tool. You will learn to load, clean, manipulate, and visualize data within a Shiny application. By the end of the course, you will complete a Shiny dashboard that visualizes sales data, aimed at supporting inventory management and adapting to consumer preferences. This approach not only enhances practical skills but also prepares you for real-world scenarios where data visualization is crucial for decision-making in retail and other industries.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Clearly designed for learners with some experience in R and a desire to enhance their data visualization skills
Course focuses on a specific industry, retail, which could be valuable for learners working in that field
Targeted towards learners interested in applying data visualization to business scenarios
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Save Dashboard Development with Shiny: GenAI for Retail Analysis to your list so you can find it easily later:
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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 Dashboard Development with Shiny: GenAI for Retail Analysis with these
activities:
Start building a basic Shiny dashboard
Show steps
Begin building a basic dashboard to solidify your understanding of Shiny dashboard fundamentals.
Show steps
-
Create a new R Shiny project
-
Structure your Shiny app with a basic layout
-
Add simple visualizations using ggplot
Show all one activities
Start building a basic Shiny dashboard
Show steps
Begin building a basic dashboard to solidify your understanding of Shiny dashboard fundamentals.
Show steps
Show steps
Show steps
- Create a new R Shiny project
- Structure your Shiny app with a basic layout
- Add simple visualizations using ggplot
Show all one activities
Career center
Learners who complete Dashboard Development with Shiny: GenAI for Retail Analysis will develop knowledge and skills
that may be useful to these careers:
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of business operations. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Operations Research Analyst.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help companies make informed decisions. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Data Analyst.
Business Analyst
Business Analyst
Business Analysts use data to improve business processes and make better decisions. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Business Analyst.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions and provide financial advice. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Financial Analyst.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and market trends. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Market Researcher.
Data Scientist
Data Scientist
Data Scientists use data to solve complex problems and develop new products and services. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Data Scientist.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Data Engineer.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to make investment decisions. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Quantitative Analyst.
Risk Manager
Risk Manager
Risk Managers identify, assess, and manage risks. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Risk Manager.
User Experience Researcher
User Experience Researcher
User Experience Researchers study how users interact with products and services. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any User Experience Researcher.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Machine Learning Engineer.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Statistician.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Software Engineer.
Web Developer
Web Developer
Web Developers design and develop websites. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Web Developer.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products and services. This course can help you develop the skills needed to succeed in this role by teaching you how to use the R Shiny package to create interactive dashboards. Dashboards are a powerful tool for visualizing data and communicating insights to stakeholders. By completing this course, you will be able to create dashboards that are both visually appealing and informative, which is a valuable skill for any Product Manager.
For more career information including salaries, visit:
OpenCourser.com/course/kawodl/dashboard
Reading list
We've selected 12 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
Dashboard Development with Shiny: GenAI for Retail Analysis.
Save
Is an authoritative guide to building interactive web applications using R Shiny, written by the creator of the Shiny package. It provides a comprehensive overview of Shiny's features and capabilities, making it an invaluable resource for those seeking to master this tool.
Provides a comprehensive guide to web development using R, including Shiny applications. It good resource for those interested in developing more complex web applications.
Provides a comprehensive guide to using ggplot2, a popular R package for creating visualizations. It is particularly useful for understanding the principles of effective data visualization.
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Provides a deep dive into ggplot2, the powerful R package for data visualization. Given that ggplot2 is used extensively in Shiny applications, this book would be highly beneficial for learners seeking to create visually appealing dashboards.
Provides a comprehensive overview of R for data science, covering data manipulation, visualization, statistical modeling, and machine learning. It offers a solid foundation for learners seeking to use R effectively for data analysis and exploration.
Offers a comprehensive guide to the R programming language, covering its syntax, data structures, and programming principles. It provides a solid foundation for learners seeking to master the fundamentals of R and write efficient and maintainable code.
Provides a comprehensive overview of data science, including data visualization, machine learning, and statistical modeling. It good resource for gaining a broader understanding of the field of data science.
Provides a framework for choosing the most appropriate data visualization for different types of data and analysis tasks. It helps readers understand the principles of effective data visualization.
Save
Provides a comprehensive overview of advanced R programming techniques, including data manipulation, visualization, and statistical modeling. It good resource for gaining a deeper understanding of R.
Save
Offers a practical guide to data manipulation in R, covering essential techniques for cleaning, transforming, and preparing data for analysis and visualization. It provides a solid foundation for those seeking to work with data effectively in Shiny applications.
Save
Provides a collection of practical R recipes for solving common data analysis and visualization tasks. It offers quick and easy-to-implement solutions, making it a valuable reference for learners seeking to enhance their R skills and productivity.
Provides a comprehensive overview of data visualization principles and techniques, covering different types of charts, graphs, and visualizations. It offers a valuable foundation for learners seeking to create effective and informative data visualizations within Shiny applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kawodl/dashboard
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Effort
1 Hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Diana Pholo
Language
English
Good to know
Clearly designed for learners with some experience in R and a desire to enhance their data visualization skills
Course focuses on a specific industry, retail, which could be valuable for learners working in that field
Targeted towards learners interested in applying data visualization to business scenarios
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