Along with this some basic building of R programming like data types, variables, operators, decision- making statements are also explained. The objective of this course is to make the students familiar with the R Studio cloud. It can also be integrated with technologies like Hadoop and various other database management systems as well. R is highly compatible and can be paired with many other programming languages like C, C++, Java, and Python. This means that anyone can work with R without any need for a license or a fee.
R is an open-source programming language. R is one of the most popular languages for statistical modeling and analysis. You can easily share projects with your team, class, or workshop. It analyses the data using RStudio directly from the browser. RStudio Cloud makes it easy for anyone to practice, share, teach and learn data science. This course is designed for undergraduate students and mainly focuses on two aspects R Studio Cloud and R programming. To install the R with all necessary packages is a tedious task.
Recently Data Science has been introduced in many universities as a mandatory subject. Each student will get their own permanent copy of the project to work on and if they attempt to access the project again later, they’ll be redirected to their own copy.R plays a very important role in Data Science. Important: To make a project an assignment, check the “ Make this project an assignment” checkbox.By default, projects are private until they’re made visible to all members of a space via the Settings > Access menu. Within a space, multiple projects can be created, which individually correspond to Assignments.By default, shareable links expire after 7 days. A shareable link to the space can be generated and distributed via email or through Moodle, etc., enabling students to be automatically added.
Each course space provides students with a place to access their assignments and to complete their coursework. Instructors should typically create a Shared Space for each course they’re teaching.We strongly encourage anyone new to Posit to read the documentation available from within the Posit platform: posit.cloud/learn/guide.
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