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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
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Shiny dashboard for retail analysis
According to students, this is a highly practical and efficient project-based course focused on developing interactive R Shiny dashboards for retail analysis. Learners particularly praise its hands-on approach, which effectively teaches core Shiny framework components, dynamic data visualization with ggplot, and how to design user-friendly interfaces. While the course provides a valuable introduction to GenAI integration in retail contexts, some learners note that a solid intermediate R background is beneficial to keep pace with the focused, one-hour curriculum.
The one-hour project is efficient but can feel fast-paced.
"It's impressive how much is covered in just an hour; the course is very efficient and to the point."
"The course moves at a brisk pace, which is great if you're looking for a quick skill boost without fluff."
"I liked that it was concise, but I had to pause frequently to keep up with the coding exercises."
Introduces GenAI's role in retail analysis, though not a deep dive.
"The course provided a good conceptual understanding of how GenAI could fit into retail dashboards."
"While not a deep GenAI course, it successfully integrated the topic into the Shiny context effectively."
"I gained insight into applying modern AI concepts within a practical data visualization setting, which was neat."
Explanations of Shiny's framework and UI design are effective.
"The course broke down Shiny's core structure in an easy-to-understand way, which really helped."
"I found the UI design principles taught here directly applicable to my own dashboard projects."
"My understanding of interactive elements and dynamic dashboards significantly improved after this."
The course offers a hands-on approach to dashboard development.
"The hands-on project with sales data was incredibly useful for applying Shiny concepts immediately."
"I appreciated the practical application focus, making the concepts stick for real-world use."
"Learning by doing, especially with a clear retail analysis context, made this project invaluable."
Requires a solid intermediate understanding of R for optimal learning.
"While useful, some parts moved quickly, assuming prior strong R knowledge was already in place."
"I struggled a bit with the R syntax and foundational concepts, wishing for a quick refresher section."
"It's definitely for intermediate learners; beginners might find the pace and assumed knowledge challenging."
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Save
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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