Python vs. R for Data Science
Python vs. R for Data Science
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 39m | 524 MB
Instructor: Lavanya Vijayan
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 39m | 524 MB
Instructor: Lavanya Vijayan
Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances.
Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths.
By the end of this training, you’ll have the essential information you need to determine whether Python or R is right for you.
Python vs. R for Data Science
