DataCamp

Introduction to the Tidyverse

Engineering and Technology

Short Description

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Long Description

This course serves as an introductory guide to the programming language R, with a specific focus on the Tidyverse, a powerful collection of tools. Throughout this course, you will gain a comprehensive understanding of data manipulation and visualization using two key tools: dplyr and ggplot2. By working with a real dataset of historical country data, you will learn the essential techniques of data manipulation, including filtering, sorting, and summarizing. These techniques will enable you to effectively address exploratory questions and derive meaningful insights from the data. Furthermore, you will acquire the skills to transform processed data into visually informative line plots, bar plots, histograms, and more using the ggplot2 package. This will provide you with a practical understanding of how to effectively communicate data through visual representations. By the end of this course, you will have gained valuable experience in exploratory data analysis and a deep appreciation for the capabilities of Tidyverse tools. This course is specifically designed for individuals who have no prior experience in R but are keen on performing data analysis.

Course Details

Duration
4 hours
Difficulty
Beginner
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.