Data Visualization with R
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Course
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.
Self-Paced
Mentored
BEGINNER
Duration
2 hours/week
Fee
Data visualization plays an essential role in the representation of both small and large-scale data; a picture speaks a thousand words, as they say. One of the key skills for a data scientist is the ability to tell a compelling story through the visualization of data. R is an open-source programming language that is widely used to achieve this.
In this course, you will learn how to leverage R to visualize data, extract information, and enable an organization to make informed decisions. You will explore how to take data that at first glance offers little meaning and present it in a form that makes sense and provides meaningful insights. You will learn how to create various graphics and charts, including bar charts, histograms, pie charts, scatter plots, line plots, word clouds, radar charts, waffle charts, and box plots. Plus, you will investigate how to customize the look and feel of these graphics and charts.
For individuals keen to develop the skills required to interpret data as a compelling story, and visualize data and findings in an approachable and stimulating way, this course is ideal. Master these critical skills now and boost your career in data science.
This IBM certified course comprises five purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2 hours per week, you will complete the course in 3 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
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 exam questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.
Once you have successfully completed the course, you will earn your IBM Certificate.
After completing this course, you will be able to:
- Create graphics and charts - bar charts, histograms, pie charts, scatter plots, line plots, word clouds, radar charts, waffle charts, box plots etc.
- Customize the look and feel of graphics and charts.
- Create maps in R.
- Create interactive web applications in RStudio IDE using Shiny.
- Individuals keen to learn R.
- College graduates who want to start their career in data science.
- Data scientists seeking to build their skills.
- None
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Course Offering
Type of 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
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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.
Course Offering
Type of 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
This course has been created by
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.