
Visit the official website to download the latest R and R Studio installers for Windows or Mac. Follow the installation instructions to complete setup.
Install and manage R packages across Windows, Mac, and Linux; learn to install, load with library(), and explore available packages for this language.
Explore R data types, including vectors, matrices, data frames, lists, and factors, and how memory management and object types shape data labeling and statistical modeling.
Discover built-in R functions, including absolute value, square root, floor and ceiling, and string operations such as substring and separate for pattern matching, extraction, and data manipulation.
Explore creating and manipulating matrices in R, define the number of columns and rows, and organize data using matrix construction and related functions.
Learn to create and manipulate matrices in R, index and fill elements, apply metrics, and perform basic arithmetic to analyze complex data structures.
Explore factors in R: learn how categorical data are represented as factors, inspect their levels, and check and work with factor variables.
Explore creating and manipulating factors in R, examine levels, convert variables to factors, and use the factors function to perform practical data categorization.
Learn practical data frame operations in R, including creating, subsetting, and adding new variables based on existing ones, reading Excel data, and querying maximum salaries and department filters.
Learn how to use arithmetic, relational, and logical operators in R, apply assignment, and manipulate vectors and matrices with indexing, concatenation, and basic list operations.
Hello World!!
Learn Programming In R And R Studio.
no coding experience or a statistics background needed.
This is a course of R programming which will deal with practical approaches in R , Starting with easy and will move towards solving more complex problems .
Here you will also learn to find meaningful insights from the data , play with data and visualize it .
Working with datasets , making data Frame , gathering data and meeting Requirements.
Here are some examples of things you will be able to do after finishing the course:
Able to work Effectively with R and R studio
Load CSV and Excel files into R;
Work with data types and built in functions in R
Installing R and packages in R
creating and manipulating vectors ,factors and matrices in R
Analyze real datasets and understand the R code.
make programs on loops in R.
Plot histograms and Bar plots and Pie charts of numerical data.
This course is for Everyone who is willing to learn and understand R from Beginning.
Don't worry if you are a complete noob , you can also join it as you will learn from basics only then going to advanced levels.
Hope you will like this course and be able to learn complex concepts easily .
Try to watch every video to understand better
If you are in the field of Data Science or Software Development Engineering or Any Kind of Statistic related field this course will be your best choices.
and anyone who is willing to learn R can join.
More Info
Beginner to Expert Level...
Contents : Latest
Materials : Premium and Exclusive
Labs : Yes
Theory : Yes
Codes : Up to date
#R
#r programming #data science r language and r studio #shiny #statistics #r shiny #r programming language
See you in the course
A course by R Expert.
Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language.
This course will be constantly updated based on students feedback.