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.
Learn to create powerful data visualizations using R. From setup to advanced plots, master data handling, analysis, and visualization techniques.
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.
Instructors:
English
Powered by
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
Skills you'll gain
This course includes:
1.43 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
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.
Module 1
Module 1 · 0 Hours to complete
Module 2
Module 2 · 0 Hours to complete
Module 3
Module 3 · 0 Hours to complete
Module 4
Module 4 · 0 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Enhancing IT Education Through Expert-Led Learning
Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.