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Collin Paschall
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
Read more
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
Read more
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
This is the final course in the Specialization "Data Visualization and Dashboarding in R." Learners in this course will enter with a well-developed set of skills making a wide variety of visualizations in R. The focus on this course will applying those skills to a unique project, drawing on publicly available data to tell a compelling story using the data visualization toolkit assembled in the previous courses.
Register for this course and see more details by visiting:
OpenCourser.com/course/juvzuf/data
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What's inside
Syllabus
Developing Your Eye and Finding Data
In this module, we will review the requirements for the capstone project and some possible souces for data. Then, we have a very fast overview of resources on good data visualization practice.
Read more
Syllabus
Developing Your Eye and Finding Data
In this module, we will review the requirements for the capstone project and some possible souces for data. Then, we have a very fast overview of resources on good data visualization practice.
Read more
Cleaning Your Data
In this module, we will review the requirements for the second component of your capstone project, where you will demonstrate that your data is ready for visualization. Then, we (re)introduce some important tools for cleaning data in R.
Making Your Report
In this module, you will do one more visualization critique, and the rest of your time in the week should be devoted to finishing your capstone project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops visualizations in R, a highly relevant skill for data scientists and analysts
Suitable for advanced learners with a strong foundation in R visualization
Provides hands-on experience through a capstone project
Involves data cleaning and preparation, crucial skills for working with real-world datasets
Taught by experienced instructors in the field of data visualization
Part of a specialization in Data Visualization and Dashboarding in R, offering a comprehensive learning path
Save this course
Save Data Visualization Capstone to your list so you can find it easily later:
Save
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Reviews summary
In-depth data visualizations
Learners say this highly engaging and challenging capstone course is an excellent culmination to a specialization in data visualization using R. Students remark that the course provides a great overview of techniques and packages for making visualizations, and they especially appreciate the hands-on, practical knowledge that it imparts. According to students, this course is appropriate for learners with varying levels of experience in R, and the skills they learn are highly applicable to real-world work.
Is challenging but rewarding.
"Great course! very challenging but it's worth every second."
"A challenging test of hablities, requires some data wrangling and R programming beyond the basics."
"Culmination of a great series of courses (specialization) that covers a huge breadth of visualization possibilities within R."
The instructor is knowledgeable, helpful, and responsive.
"Very knowledgeable and helpful instructor providing excellent hands-on practical knowledge to build upon!"
"Many thanks to the Instructor who is always available to address issues."
Provides practical, hands-on experience.
"Very knowledgeable and helpful instructor providing excellent hands-on practical knowledge to build upon!"
"The skills learnt from the specialization are quite useful in real work."
"I have almost 0 knowledge of R and coding. Now I can do many plots myself and am very comfortable in the R environment."
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 Data Visualization Capstone with these
activities:
Organize Course Materials
Show steps
Helps students stay organized and revisit course materials effectively.
Show steps
-
Create a system for organizing notes, assignments, and resources.
-
Review materials regularly to reinforce understanding.
-
Use the organized materials as a reference for future projects.
Read 'Effective Data Visualization: The Right Chart for the Right Data'
Show steps
Provides insights into best practices and principles of data visualization.
View
Egocentric Network Analysis: Foundations,...
on Amazon
Show steps
-
Read the book and take notes.
-
Identify and apply the concepts in your own data visualization projects.
-
Discuss the concepts with peers or instructors.
Review R Basics
Show steps
Refreshes basic R concepts like data structures, functions, and control flow.
Browse courses on
R Programming
Show steps
-
Review the R syntax and data types.
-
Practice creating and manipulating data frames.
-
Re-familiarize yourself with basic functions like summary() and plot().
Four other activities
Expand to see all activities and additional details
Show all seven activities
Guided Tutorial: Tidyverse and Data Visualization
Show steps
Provides a structured introduction to data visualization using the tidyverse packages.
Show steps
-
Work through a guided tutorial on the tidyverse packages.
-
Experiment with different data visualization techniques.
-
Create a simple data visualization dashboard.
Mini Data Visualization Project
Show steps
Allows students to apply their data visualization skills to a small-scale project.
Show steps
-
Choose a dataset and explore it.
-
Create visualizations to explore patterns and trends.
-
Write a brief report summarizing your findings.
Peer Code Review and Collaboration
Show steps
Encourages students to collaborate and learn from each other through code review.
Show steps
-
Join a peer review group.
-
Review and provide feedback on each other's data visualization code.
-
Collaborate on refining and improving data visualizations.
Attend a Data Visualization Workshop
Show steps
Provides an opportunity for students to engage with experts and gain hands-on experience.
Show steps
-
Identify and register for a relevant data visualization workshop.
-
Attend the workshop and actively participate.
-
Implement what you learned in your own data visualization projects.
Organize Course Materials
Show steps
Helps students stay organized and revisit course materials effectively.
Show steps
Show steps
Show steps
- Create a system for organizing notes, assignments, and resources.
- Review materials regularly to reinforce understanding.
- Use the organized materials as a reference for future projects.
Read 'Effective Data Visualization: The Right Chart for the Right Data'
Show steps
Provides insights into best practices and principles of data visualization.
View
Egocentric Network Analysis: Foundations,...
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes.
- Identify and apply the concepts in your own data visualization projects.
- Discuss the concepts with peers or instructors.
Review R Basics
Show steps
Refreshes basic R concepts like data structures, functions, and control flow.
Browse courses on
R Programming
Show steps
Show steps
Show steps
- Review the R syntax and data types.
- Practice creating and manipulating data frames.
- Re-familiarize yourself with basic functions like summary() and plot().
Four other activities
Expand to see all activities and additional details
Show all seven activities
Guided Tutorial: Tidyverse and Data Visualization
Show steps
Provides a structured introduction to data visualization using the tidyverse packages.
Show steps
Show steps
Show steps
- Work through a guided tutorial on the tidyverse packages.
- Experiment with different data visualization techniques.
- Create a simple data visualization dashboard.
Mini Data Visualization Project
Show steps
Allows students to apply their data visualization skills to a small-scale project.
Show steps
Show steps
Show steps
- Choose a dataset and explore it.
- Create visualizations to explore patterns and trends.
- Write a brief report summarizing your findings.
Peer Code Review and Collaboration
Show steps
Encourages students to collaborate and learn from each other through code review.
Show steps
Show steps
Show steps
- Join a peer review group.
- Review and provide feedback on each other's data visualization code.
- Collaborate on refining and improving data visualizations.
Attend a Data Visualization Workshop
Show steps
Provides an opportunity for students to engage with experts and gain hands-on experience.
Show steps
Show steps
Show steps
- Identify and register for a relevant data visualization workshop.
- Attend the workshop and actively participate.
- Implement what you learned in your own data visualization projects.
Career center
Learners who complete Data Visualization Capstone will develop knowledge and skills
that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use data visualization software and techniques to create visual representations of data. This data can be used to identify trends, patterns, and insights that can help businesses make better decisions. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Data Visualization Analyst. This course will teach you how to use R, a powerful statistical programming language, to create visualizations that are both informative and visually appealing.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Business Analyst. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to help businesses improve their operations. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become an Operations Research Analyst. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Software Engineer. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Data Analyst
Data Analyst
Data Analysts use data to help businesses make better decisions. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Data Analyst. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Financial Analyst
Financial Analyst
Financial Analysts use data to help businesses make financial decisions. They use a variety of techniques, including data visualization, to analyze data and identify trends. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Financial Analyst. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to help businesses understand their customers and develop marketing campaigns. They use a variety of techniques, including data visualization, to analyze data and identify trends. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Marketing Analyst. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use a variety of techniques, including data visualization, to analyze data and extract insights. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Data Scientist. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Consultant. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Data Engineer. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Teacher
Teacher
Teachers use data to help students learn. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Teacher. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Researcher
Researcher
Researchers conduct studies to collect and analyze data. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Researcher. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Journalist
Journalist
Journalists use data to write stories that inform the public. They use a variety of techniques, including data visualization, to analyze data and identify trends. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Journalist. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Librarian
Librarian
Librarians help people find and use information. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Librarian. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They use a variety of techniques, including data visualization, to analyze data and identify opportunities for improvement. The Data Visualization Capstone course from Johns Hopkins University can help you develop the skills you need to become a Product Manager. This course will teach you how to use R to create visualizations that can help you communicate your findings to stakeholders.
For more career information including salaries, visit:
OpenCourser.com/course/juvzuf/data
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
Data Visualization Capstone.
Save
This classic book on data visualization provides a comprehensive overview of the principles of effective data visualization. It valuable resource for anyone who wants to learn more about how to create clear and informative visualizations.
Save
Provides a comprehensive introduction to the R programming language, with a focus on data science applications. It valuable resource for anyone who wants to learn more about how to use R for data visualization.
Provides a detailed introduction to the ggplot2 package, which is one of the most popular packages for data visualization in R. It valuable resource for anyone who wants to learn more about how to create beautiful and informative visualizations with ggplot2.
Save
Provides a practical introduction to data visualization, with a focus on using R. It valuable resource for anyone who wants to learn more about how to create clear and informative visualizations with R.
Provides a comprehensive overview of the field of information visualization. It valuable resource for anyone who wants to learn more about the principles of effective data visualization.
Provides a theoretical foundation for data visualization. It valuable resource for anyone who wants to learn more about the underlying principles of how data is visualized.
Provides a comprehensive overview of interactive data visualization for the web. It valuable resource for anyone who wants to learn more about how to create interactive visualizations that are both informative and engaging.
Save
Provides a practical guide to data visualization. It valuable resource for anyone who wants to learn more about how to create effective and beautiful data visualizations.
Provides a comprehensive overview of data visualization with Python and JavaScript. It valuable resource for anyone who wants to learn more about how to create interactive data visualizations with these technologies.
Provides a comprehensive overview of Tableau for data visualization. It valuable resource for anyone who wants to learn more about how to create interactive data visualizations with Tableau.
Save
Provides a comprehensive overview of Power BI for data visualization. It valuable resource for anyone who wants to learn more about how to create interactive data visualizations with Power BI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/juvzuf/data
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Johns Hopkins University
Instructor
Collin Paschall
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This course belongs to a
collection
called
Data Visualization & Dashboarding with R. It's comprised of five courses:
Good to know
Develops visualizations in R, a highly relevant skill for data scientists and analysts
Suitable for advanced learners with a strong foundation in R visualization
Provides hands-on experience through a capstone project
Involves data cleaning and preparation, crucial skills for working with real-world datasets
Taught by experienced instructors in the field of data visualization
Part of a specialization in Data Visualization and Dashboarding in R, offering a comprehensive learning path
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