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4.3
90 reviews

R Programming for Beginners

R Programming course for newbies. R installation, data types, statements, functions, conditions, packages, data frames.
17,328 Students enrolled
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A warm welcome to the R Programming for Beginners course by Uplatz.

 

R is a programming language regularly used for arithmetical computing and graphical demonstration to examine and visualize data. R is a software environment which is used to analyze numerical data and graphical representation. R lets us to do sectional programming using functions. R programming language was named R, founded on the first name letter of the two authors – Robert Gentleman and Ross Ihaka. An overall understanding of R should cover topics such as introduction, features, installation, RStudio ide, variables, datatypes, operators, if statement, vector, data handing, graphics, statistical modelling, etc. R not only allows us to do branching and looping but also allows to do modular programming using functions. R allows integration with the procedures written in the C, C++, .NET, Python, and FORTRAN languages to improve efficiency.

R is one of the most significant instrument which is used by investigators, data analyst, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data. R is available for Linux, MacOS, and Windows. R’s binary and logical operators will look very acquainted to programmers. R can be used to compute a large variety of classical statistic tests. With R, it’s also possible to perform classification analysis such as Principal component analysis and clustering. Many types of graphs can be drawn using R, including, box plot, histogram, density curve, scatter plot, line plot, bar plot, etc.

 

R Programming for Beginners – Course Syllabus

  1. Introduction to R Language
  2. R Installation
  3. R Data Structures
  4. R Data Types
  5. R Packages
  6. Simple Calculator using R
  7. R as a Calculator
  8. Condition Statements in R
  9. Looping in R
  10. Repeat Statement in R
  11. Sum of N Natural Numbers
  12. Sum Recursion
  13. Switch Statement in R
  14. Data Pre-processing
  15. Functions in R
  16. Factors in R
  17. Data frames in R
  18. Data Reshaping
  19. R Math built-in Functions
  20. Melting and Casting in R
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course details
Video 9 hours
Certificate of Completion

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