Starting at USD 39.00
4 hours duration

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

If you have prior experience with SAS and are interested in expanding your skills to include R, then this course is tailored for you. R is a cost-free and open-source software language that is rapidly gaining popularity in the fields of statistics and data science. This course serves as a comprehensive introduction to the R language, with each chapter offering a detailed comparison between R functions and SAS procedures, highlighting both similarities and differences. By taking this course, you will become familiar with the R environment and gain proficiency in data manipulation, visualization, and modeling. Additionally, you will learn how to customize your output for professional presentations. Throughout the duration of the course, you will follow a consistent workflow that encompasses data quality checking and cleaning, exploring relationships within the data, performing modeling tasks, and effectively presenting your results. By the end of the course, you will have a collection of coded examples that can be readily applied to your own datasets. Enroll in this course today to enhance your skills in R and leverage its capabilities for your data analysis needs.

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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