This is the repository for the LinkedIn Learning course Complete Your First Project in R. The full course is available from LinkedIn Learning.

Expand your knowledge and skillset with R in this course with data science consultant Megan Silvey. Megan presents a hands-on project using R to analyze sales data and work through a real-world scenario that focuses on performing data analysis for customers of an enterprise tech company. Get experience using data analysis and machine learning techniques, including classification and clustering, to analyze data that includes information about orders, sales employees, customers, products purchased, and customer payment statuses. Join Megan in this course to gain know-how and skills to take your data career to the next level.

There is one branch for this course containing three chapter folders corresponding to the three chapters in the course. Inside these chapter folders are the coding exercise files. The naming convention for the exercise files is CHAPTER#_MOVIE#. As an example, the branch named 02_03 corresponds to the second chapter and the third video in that chapter.

All coding exercise files will have a beginning and an end state, for example '02_03e' would be the ending file for the third movie in the second chapter. These are marked with the letters b for "beginning" and e for "end". The b file contains the code as it is at the beginning of the movie. The e file contains the code as it is at the end of the movie.

Megan Silvey

Data Science Consultant

Check out my other courses on LinkedIn Learning.