- Introduction to Data Visualization
- Using ggplot
- Bar Charts
- Histograms
- Pie Charts
Beginner
Online
4 Weeks
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.
Data Visualization with R online classes incorporates 11 hours of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.
The highlights
- Shareable certificate of completion
- Self-paced course
- 11 hours effort
- 100% online content
- Flexible deadlines
Program offerings
- English video lectures with subtitles
- 100% online content
- Learning resources
- Graded assignments
- Practice quizzes
- Graded quizzes
- Accessible on mobile devices and tv
Course and certificate fees
Data Visualization with R Fee Structure
Description | Amount in INR |
1 Month | Rs. 3,177 |
certificate availability
certificate providing authority
What you will learn
After completing the Data Visualization with R certification course, learners will acquire a detailed understanding of the functionalities of R programming for data visualization as well as will acquire an understanding of the concepts involved with data analysis and data science operations. Learners will explore the strategies to create line graphs, pie charts, bar charts, maps, histograms, scatter plots, and box plots using R programming. Learners will study techniques to design several plots and chats using themes, axis titles, text labels, annotations, and faceting. Learners will also study the methodologies to create dashboards with census data using Shiny packages and leaflet packages.
Who it is for
The syllabus
Week 1: Module 1 - Introduction to Data Visualization
Videos
Readings
- Course Introduction
- Summary & Highlights
- Summary & Highlights
Practice Exercises
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Week 2: Module 2 - Basic Plots, Maps, and Customization
Videos
- Scatter Plots
- Line Plots
- Box Plots
- Customize Plots
- Themes and Faceting
- v2.2.3 - Maps with Leaflet
Readings
- Summary & Highlights
- Summary & Highlights
Practice Exercises
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Week 3: Module 3 - Dashboards
Videos
- Introduction to Dashboards & Shiny
- Shiny Basics
- Create a Simple Shiny App
- Explore Shiny Components
- Deploy the Shiny App
- Reports in rmd
Readings
- Summary & Highlights
- Summary & Highlights
Practice Exercises
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Week 4: Module 4 - Final Assignment
Videos
- Final Project Overview – Dashboard with Shiny using Census Data
- Congratulations and Next Steps
- Credits and Acknowledgments
Practice Exercises
- Final Exam
Instructors
Ms Yiwen Li
Software Engineer
IBM
Ms Tiffany Zhu
Data Scientist
IBM
Ms Saishruthi Swaminathan
Data Scientist
IBM
Other Bachelors, Other Masters
Ms Gabriela de Queiroz
Program Director
IBM
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