Working with Dates and Times in R

Starting at USD 39.00
4 hours duration

Learn the essentials of parsing, manipulating and computing with dates and times in R.

In the world of data analysis, dates and times play a crucial role in answering important questions related to timing, duration, and frequency. However, dealing with them can be challenging due to their various formats and unpredictable behavior. This comprehensive course aims to equip you with the necessary skills to effectively parse, manipulate, and compute with dates and times using the R programming language. Throughout this course, you will become proficient in utilizing the lubridate package, which is a valuable component of the tidyverse. This package has been specifically designed to handle the complexities of dates and times, ensuring accurate and efficient data analysis. By the end of this course, you will have gained mastery over the lubridate package, enabling you to confidently explore a wide range of applications. You will have the ability to analyze the frequency of R version releases, determine favorable weather conditions in Auckland (the birthplace of R), and calculate the duration of monarch reigns in Britain. Join us on this educational journey and unlock the power of dates and times in your data analysis endeavors.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
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.
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