Data Visualization with R
Master data visualization techniques using R, ggplot2, and interactive dashboards.Data Visualization with R
Master data visualization techniques using R, ggplot2, and interactive dashboards.Data Visualization with R
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the IBM Data Analytics with Excel and R Professional Certificate or Applied Data Science with R Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(219 ratings)
23,461 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Create diverse chart types using ggplot2 package
Customize visualizations with themes and annotations
Develop interactive maps using Leaflet package
Build and deploy Shiny dashboards
Generate automated reports with R Markdown
Apply data visualization best practices
Skills you'll gain
This course includes:
1.38 Hours PreRecorded video
13 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course teaches data visualization techniques using R and its popular packages. Students learn the Grammar of Graphics concept through ggplot2, creating various chart types including bar charts, histograms, scatter plots, and maps. The curriculum covers plot customization, interactive dashboard creation with Shiny, and map visualization using Leaflet. Through hands-on labs and a final project, learners develop practical skills in creating effective and interactive data visualizations.
Introduction to Data Visualization
Module 1 · 1 Hours to complete
Basic Plots, Maps, and Customization
Module 2 · 3 Hours to complete
Dashboards
Module 3 · 4 Hours to complete
Final Assignment
Module 4 · 3 Hours to complete
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.
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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4.6 course rating
219 ratings
Frequently asked questions
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