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Master Data Visualization with R
Learn to create powerful data visualizations using R. From setup to advanced plots, master data handling, analysis, and visualization techniques.
Course Cost
₹ 2,699
Intermediate
Skill Level
3 Hours
Self-paced lessons
This comprehensive course guides you through mastering data visualization using R. Starting with R and RStudio setup, you'll learn to acquire and inspect real-world data from the US National Weather Service. The course covers R coding for data reading and manipulation, exploring various data types and values. You'll create scatter plots, apply linear regression models, and generate multiple graphs using loops. Advanced topics include using essential R packages like ggplot2 for sophisticated visualizations. By the end, you'll be equipped to handle and visualize complex datasets effectively, applying your skills to real-world data analysis projects.
English
What you'll learn
Identify and list steps to install and configure R and RStudio
Describe the structure and purpose of different data types in R
Use R to import and inspect datasets from external sources
Create scatter plots and apply linear regression models to identify trends in data
Generate multiple graphs efficiently using loops in R
Install and utilize essential R packages like ggplot2 for advanced visualizations
Plot and highlight specific data points such as minimum and maximum temperatures
Customize the aesthetics of plots for effective data presentation
Skills you'll gain
This course includes:
1.43 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
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There are 4 modules in this course
This course offers a comprehensive introduction to data visualization using R, one of the most popular programming languages for data science. Students begin by setting up R and RStudio, then progress to acquiring and inspecting real-world data from the US National Weather Service. The curriculum covers essential R coding practices for data manipulation, including understanding different data types and values. Practical applications include creating scatter plots, applying linear regression models, and generating multiple graphs efficiently using loops. Advanced topics introduce the use of R packages like ggplot2 for creating sophisticated visualizations. Throughout the course, students work with real datasets, ensuring they gain practical, applicable skills in data handling and visualization.
Get Set Up
Module 1 · 0 Hours to complete
Write the code
Module 2 · 1 Hours to complete
Install and use an R Package
Module 3 · 0 Hours to complete
Wrao Up
Module 4 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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