Data Visualization with R and ggplot2
Master data visualization in R using ggplot2, Leaflet maps, and Shiny interactive dashboards for effective data presentation.
Master data visualization in R using ggplot2, Leaflet maps, and Shiny interactive dashboards for effective data presentation.
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
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.
2 Courses
A Pioneering Technology Leader Advancing AI Ethics and Social Impact
Saishruthi Swaminathan serves as Ethics by Design and Board Program Advisor at IBM, following her role as Advisory Data Scientist in IBM's AI Strategy and Innovation division and Technical Lead at the Center for Open Source Data and AI Technologies (CODAIT). After earning her Master's in Electrical Engineering with Data Science specialization from San Jose State University and Bachelor's in Electronics and Instrumentation, she has established herself as a leader in democratizing AI through open source technologies. Working with a global team of 30+ developers and data scientists, she has contributed to frameworks like PyTorch, TensorFlow, and Spark while developing tools for AI fairness, explainability, and robustness. Her passion extends beyond technology to social impact, leading initiatives for rural children's education and organizing women empowerment meetups. Her educational content has reached over 96,000 learners through various platforms, and she frequently speaks about cognitive bias in machine learning and ethical AI practices. Growing up in rural India without internet access, she brings a unique perspective to making technology accessible to underserved communities
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