
Data Visualization with R
Learn how to present data using R. Explore bar charts, histograms, pie charts, scatter plots, line plots, word clouds, radar charts, waffle charts, and box plots. Discover how to create compelling visualizations that enable organizations to make informed decisions.
Master these critical skills now and boost your data science career.
Data Visualization with R Highlights
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Duration
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Fee US$ 99 - US$ 199 |
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Duration
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Fee US$ 99 - US$ 199 |
Course Outline
Earn your certificate
Once you have completed this course, you will earn your certificate.
Preview digital certificate
Course details
Certificate
- IBM Certificate
About this course
- 05 Modules
- 12 Skills
Includes
- Discussion space
- 05 Hands-on labs
- 01 Exercises
- 15 Videos
- 05 Review questions
- 01 Final exam

Create
- Bar charts
- Histograms
- Pie charts
- Scatter plots
- Line plots and regression
- Word clouds
- Radar charts
- Waffle charts
- Box plots
- Maps in R
- Interactive web applications in RStudio IDE using Shiny
Exercises to explore
- Additional Shiny features
- Basic visualization tools: bar plots , histograms, pie charts
- Basic visualization tools: line graphs, simple line graphs, regression
- Word cloud
- Radar charts
- Waffle charts
- Box plots
- Map reviewed
- How to create interactive web applications in RStudio IDE using Shiny
Want to know more?
Get a Free ConsultationYou'll learn with these experts
Saeed Aghabozorgi
- Sr. Data Scientist
- View on LinkedIn
Polong Lin
- Data Scientist
- View on LinkedIn
FAQs
Yes, data visualization is becoming an increasingly important talent to have. Data science is growing exponentially as a discipline and all organizations are becoming data-driven. Thus, now the ability to deal with data is no longer a nice-to-have; it is a requirement. And being able to visualize the insights gained from data is critical to enable decision-makers to choose the right paths for their business.
Through maps or graphs, data visualization helps us understand what the information means by providing a visual context. Through powerful visualizations, it becomes easier to discover trends, patterns, and outliers in the massive data sets companies hold.
You will learn how to present data using the R programming language. You will investigate bar charts, histograms, pie charts, scatter plots, line plots, word clouds, radar charts, waffle charts, and box plots, among other types of graphs and charts. This course will teach you how to develop visually attractive visualizations that help organizations make educated decisions. It offers a valuable opportunity to master these essential abilities and advance your data science professional career.
As soon as you enroll in this Data Visualization with R course, you will be able to access the course materials through your dashboard. The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exams questions.
Yes. To get your IBM Certificate of Completion, you must complete all quizzes and the final exam with an average score of 70%.
Yes. Data Visualization with R is 100% online. All you need is a good connection to the internet to access the course materials.
Data Visualization with R course is self-paced, which means that you can work at a pace that suits you. It does not follow a predetermined timetable, unlike scheduled live sessions. You are free to work at your own speed if you complete the modules and the course before the deadline.
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