Get your hands on the industry-recognized certification to learn how to analyze and visualize data in R language and create reproducible data analysis reports. You will be equipped with a basic understanding of the R programming language.

R-Fundamentals

In this module, the student will gain information on the installation of R & R Studio along with learning about the features of R and the variables, constants, and operators in R. In addition to this, you will learn about the Datatypes and R Objects and how to accept input from the keyboard and more on the important built-in functions.

Vectors in R

Learn how to create vectors along with gaining the knowledge of accessing elements of a Vector. The Vectors in R module will help you understand the operations of Vectors and will equip you with the knowledge of Vector Arithmetic.

Control Statements

Learn about the key control statements in the R language, such as the I statement, if…else statement, if else () function, switch() function, repeat loop, while loop, for loop, break statement, and next statement.

Functions

In this module, we will be emphasizing the functions in the R Programming language, such as formal and actual arguments, named arguments, global and local variables, argument and lazy evaluation of functions, and recursive functions.

Matrices

Learn how to create matrices, access elements of a Matrix, operations on matrices, and Matrix transpose.

Strings

This module will deal with creating strings, paste () and paste0(), formatting numbers and string using format(), and string manipulation.

Lists

In this module, you will learn about the techniques for creating lists, manipulating list elements, how to merge lists, and to facilitate the conversion of lists to vectors.

Arrays in R

The Arrays in R module will talk about the creation of arrays, accessing array elements, and facilitating the calculations across array elements.

Factors in R

In the Factors in R module, we will be understanding factors and learning how to modify them. In addition to this, the module will talk about the factors in data frames.

R-DataFrames

The R-DataFrames module will discuss creating data frames, operations on data frames, accessing data frames, and creating data frames from various sources.

Data Viz-R

The module will talk about why there arises a need for data visualization, bar plotting, and plotting categorical data. In addition to this, we will be covering Histograms, stacked bar plots, and gaining knowledge on plot() functions and line plots. Moreover, the module will ponder upon pie charts/3D pie charts, scatter plots, and box plots.

Stringr Package-R

Learn about the vital functions that are there in Stringr and gain information on regular expressions.

Dplyr-R

The Dplyr-R model will talk about how to load data into a data frame, view the data, select columns, select rows, reorder the rows, pipe operator, and group operations.