R Programming for Beginners Free Coupon

R Programming course for newbies. R installation, data types, statements, functions, conditions, packages, data frames.
4.3 (90 reviews) 17,328+ students
Instructor: Uplatz Training Published by: Saksham Dixit (MOD) English

Course Description

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

Review: Our Opinion

Everything You Need to Know About R Programming for Beginners

This course is a comprehensive and well-structured introduction to R Programming for Beginners. The instructor, Uplatz Training, is a leading expert in the field with a wealth of experience in Development to share.

The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.

The course is divided into sections, each of which covers a different aspect related to Programming Languages. Each module contains a series of video lectures, readings, and hands-on exercises.

The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.

One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.

Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.

Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.

Overall, I highly recommend this course to anyone who is interested in learning R Programming for Beginners. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.

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