Data Visualization with R and ggplot2
This course is part of multiple programs. Learn more.
This comprehensive course teaches advanced data visualization techniques using R programming language. Students learn the Grammar of Graphics concept and its implementation through the ggplot2 package, creating various chart types from basic to complex visualizations. The curriculum covers customization using themes, working with geolocation data through Leaflet package, and building interactive web dashboards using R Shiny. Through hands-on labs and a final project, participants gain practical experience in creating compelling data visualizations and deploying interactive applications.
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What you'll learn
Create and customize various chart types using ggplot2 package
Implement the Grammar of Graphics principles in data visualization
Develop interactive map visualizations using Leaflet
Build and deploy web-based dashboards with R Shiny
Customize visualizations using themes and advanced techniques
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, labs, final project
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This course provides comprehensive training in data visualization using R programming. Students learn the fundamentals of the Grammar of Graphics system and its implementation through ggplot2. The curriculum covers creating and customizing various types of plots including bar charts, histograms, scatter plots, and maps. Additional focus areas include working with the Leaflet package for geographic visualization and developing interactive dashboards using R Shiny. The course emphasizes hands-on practice through lab exercises and concludes with a practical project.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Applied Data Science with R, Data Analytics and Visualization with Excel and R
Instructors
Program Director at IBM, Champion for Open Source Data & AI and Inclusivity
Gabriela de Queiroz is a Program Director at IBM, leading a team of developers focused on Data & AI Open Source projects. She is dedicated to democratizing AI, building tools, and launching innovative open-source initiatives. Gabriela is passionate about making data science accessible to all and is actively involved with several organizations to promote an inclusive and diverse tech community.
Championing Open Source AI and Data Democratization
Saishruthi Swaminathan is a dedicated Data Scientist and Developer Advocate at IBM, where she plays a pivotal role in the Center for Open Source Data and AI Technologies (CODAIT). With a Master's degree in Electrical Engineering specializing in Data Science and a Bachelor's degree in Electronics and Instrumentation, Saishruthi is passionate about making data and artificial intelligence accessible to everyone. Her work focuses on developing open-source technologies that empower individuals and organizations to harness the power of AI for social good. In addition to her technical contributions, she actively leads initiatives aimed at educating rural children and organizing meetups centered on women empowerment in technology. Saishruthi's commitment to democratizing data science is evident through her efforts to share knowledge and advocate for ethical AI practices, making her a significant figure in the field of data science and community engagement.
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Frequently asked questions
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