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R Programming: Beginner to Expert

Instructor led best course to learn R from beginning to end using our unique case-based teaching approach.

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4.7

Rating

20 Hrs

Duration

Beginner

Level

15

Assignments

What you'll learn

Learn R programing in details from beginner’s level using our unique case-based approach teaching method.
Will get real world project example of how different programming concepts are used in statistical analysis.
How to use R to explore and analyze data, create visualization and also develop API.

Who should take this course

Anyone from any academic background whether student or working can take this course.
No prior programming knowledge is required, as every programming concept is taught in details.
Ideal for candidates who want to make career into statistical analysis or analytics domain.
Who are looking for flexibility in learning like online, classroom or one to one based.

Skills you'll gain

R programing
Vector
Array
Data frame
Matrix
List
Factors
Function
Variable Management
Debugging
File Handling
API Interaction

Course contents

What is R, Where it is used and How to install

How to print
How to run r in command prompt and as file

Built-in data types
Variable assignment
Additional data types
Assignments

Arithmetic Operators
Relational Operators
Logical Operators
Assignment Operators
Miscellaneous Operators
Assignments

Slicing, modifying, concatenating and formatting strings
Applying Regex
Assignments

Using "if then else" and "match"
Assignments

For loop
While loop
Assignments

Built-in Function
User-defined Function
Functional programming
Nested function
Recursive Function
Assignments

Vectors
Lists
Matrices
Arrays
Data Frames
Factors
Assignments

Reading and writing txt, Excel, csv, Json files
Assignments

Pie chart, Bar chart, Boxplot, Histogram, Line graph, Scatterplot
Assignments

Packages in R for descriptive statistics
Packages in R for inferential statistics
Assignments

Saving a trained machine learning model
Loading the trained model for inferencing
Assignments

How to use plumber library to expose models as API end points
How to consume the API and do inferencing
Assignments

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