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Data Visualization using dplyr and ggplot2 in R
Arimoro Olayinka Imisioluwa
Arimoro Olayinka Imisioluwa
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R.
Read more
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R.
Read more
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R.
By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. You will also learn how to use the ggplot2 package to render beautiful plots from the data returned from using the dplyr verbs.
Note that this is a follow-up to the project on Data Manipulation with dplyr in R. I recommend that you take the Data Manipulation with dplyr in R project before taking this project. This will give you better experience working on this project.
Register for this course and see more details by visiting:
OpenCourser.com/course/ho4mj4/data
What's inside
Syllabus
Project Overview
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R.
By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. You will also learn how to use the ggplot2 package to render beautiful plots from the data returned from using the dplyr verbs.
Note that this is a follow-up to the project on Data Manipulation with dplyr in R. I recommend that you take the Data Manipulation with dplyr in R project before taking this project. This will give you better experience working on this project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops practical data manipulation and visualization skills using dplyr and ggplot2, tools used in industry and data analysis roles
Taught by experienced instructors who are recognized for their work in data analysis and visualization
Suitable for learners with basic knowledge of R and data manipulation, making it accessible to data enthusiasts and aspiring data analysts
Provides a hands-on approach with a project-based format, allowing learners to apply their skills and gain practical experience
Builds upon the Data Manipulation with dplyr in R project, providing a clear progression for learners
Requires learners to complete the Data Manipulation with dplyr in R project first, which may be a limitation for some
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Save Data Visualization using dplyr and ggplot2 in R to your list so you can find it easily later:
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Reviews summary
Practice-heavy visualizations with r <span>ggplot</span>
Learners say this course provides great instruction and engaging assignments for practicing ggplot visualizations in R. Students largely positive about the instructor and the structure of the project. Some feedback indicates course material may need updating.
Instructor is great
"Great instructor."
"Really solid explanation."
Course is well structured and easy to follow
"This was a very well structured and easy to follow project."
Course provides lots of practice
"Great instruction, lots of practice. "
Course material may need updating
"Great instructor. The course material may need some updating to reflect updates in dplyr. "
Activities
Coming soon
We're preparing activities for
Data Visualization using dplyr and ggplot2 in R.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Data Visualization using dplyr and ggplot2 in R will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Data Scientist
Data Scientist
Data Scientists use their expertise in statistics, programming, and data analysis to solve complex business problems. This course will help you build a strong foundation in data visualization, which is a critical skill for Data Scientists. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Business Analyst
Business Analyst
Business Analysts use data to help businesses improve their operations and make better decisions. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and trends. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Financial Analyst
Financial Analyst
Financial Analysts use data to make sound investment decisions. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of organizations. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Statistician
Statistician
Statisticians use data to make informed decisions about a wide range of topics. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many software applications require data visualization capabilities.
Web Developer
Web Developer
Web Developers design and develop websites. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many websites require data visualization capabilities.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many products require data visualization capabilities.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many marketing campaigns require data visualization capabilities.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many sales teams use data visualization to track their progress and identify opportunities.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many customer success teams use data visualization to track customer satisfaction and identify areas for improvement.
For more career information including salaries, visit:
OpenCourser.com/course/ho4mj4/data
Reading list
We've selected six 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 using dplyr and ggplot2 in R.
Definitive guide to ggplot2, a powerful data visualization library in R. It provides a detailed overview of the ggplot2 grammar of graphics, as well as practical guidance on creating effective visualizations. It is an essential resource for anyone who wants to learn ggplot2 or improve their data visualization skills.
Provides a comprehensive introduction to data visualization, covering the fundamentals of data visualization, including data exploration, choosing the right chart type, and creating effective visualizations. It is particularly useful for those who are new to data visualization or want to improve their skills.
Save
Provides a comprehensive guide to advanced R programming. It covers topics such as data manipulation, data analysis, and data visualization. It valuable resource for anyone who wants to learn advanced R programming or improve their data science skills.
Save
Provides a comprehensive introduction to R, a powerful programming language for data science. It covers the basics of R, including data structures, data manipulation, and data visualization. It valuable resource for anyone who wants to learn R or improve their data science skills.
Provides a comprehensive introduction to data visualization with Tableau. It covers the basics of data visualization, including data exploration, choosing the right chart type, and creating effective visualizations. It valuable resource for anyone who wants to learn data visualization with Tableau or improve their data science skills.
Provides a comprehensive introduction to data visualization. It covers the basics of data visualization, including data exploration, choosing the right chart type, and creating effective visualizations. It valuable resource for anyone who wants to learn data visualization or improve their data science skills.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ho4mj4/data
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Arimoro Olayinka Imisioluwa
Language
English
Good to know
Develops practical data manipulation and visualization skills using dplyr and ggplot2, tools used in industry and data analysis roles
Taught by experienced instructors who are recognized for their work in data analysis and visualization
Suitable for learners with basic knowledge of R and data manipulation, making it accessible to data enthusiasts and aspiring data analysts
Provides a hands-on approach with a project-based format, allowing learners to apply their skills and gain practical experience
Builds upon the Data Manipulation with dplyr in R project, providing a clear progression for learners
Requires learners to complete the Data Manipulation with dplyr in R project first, which may be a limitation for some
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