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CERTIFICATION IN R PROGRAMMING

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Program Objective

The R programming course is designed to provide participants with the skills and knowledge necessary to perform data analysis using the R language. The course covers basic topics such as variables, data types, operators, and looping constructs, as well as more advanced topics such as functions, input/output, and package management. By the end of the course, participants will be able to write R code to perform various data analysis tasks.

Certification in R Programming from CQS benefits individuals and organizations in multiple ways. Firstly, it helps individuals to validate their skills and knowledge in R programming, which is a valuable asset in today’s job market. Secondly, it helps organizations to identify potential employees who have the necessary skills and knowledge in R programming. Finally, certification in R programming can help to improve an organization’s overall R programming capability.

After completing the R Programming course, you will have learned a wide range of skills that will be invaluable in your career as a data analyst or scientist. These skills include:

With these skills, you will be able to tackle any data analysis challenge that comes your way. So if you’re looking to boost your career in data science or analytics, learning R is a great way to start.

Who Is This Program For?

12th Pass Students, Job-seekers, Graduates of Engineering/ undergraduates, Computer Science or IT working  professionals.

Top Skills You Will Learn

Writing codes in R programming, Manipulating and Analyzing Data in R, Statistical Analysis in R, and more.

Job Opportunities

Business Analyst, Data Scientist, Machine Learning Engineer, Web Developer, and more

PROGRAM OVERVIEW

The R programming course is designed to provide participants with the skills and knowledge necessary to perform data analysis using the R language. The course covers basic topics such as variables, data types, operators, and looping constructs, as well as more advanced topics such as functions, input/output, and package management.

Duration: 2 Months
Eligibility: 12th, BE/BTech. (All Streams) ≥ 50% BCA, BSc (CS/IT) Degree ≥ 50% PG : MCA, ME/M.Tech

  • R Introduction
  • R Installation
  • R Studio IDE
  • R Advantage & Disadvantage
  • R Hadoop Integration
  • R Packages
  • List of R Packages
  • R Basic Syntax
  • R Data Types
  • R Data Structures
  • R Variables
  • R Keywords
  • R Operators
  • R If Statement
  • If-else Statement
  • else if Statement
  • R Switch Statement
  • R Next Statement
  • R Break Statement
  • R For Loop
  • R Repeat Loop
  • R While Loop
  • R Functions
  • R Built-in Functions
  • R Vectors
  • R Lists
  • R Arrays
  • R Matrix
  • R Data Frame
  • R Factors
  • Data Reshaping
  • Object-Oriented Programming
  • R Debugging
  • R CSV File
  • R Excel File
  • R Binary File
  • R JSON File
  • R XML File
  • R Database
  • R Data Visualization
  • R Pie Charts
  • R Bar Charts
  • R Boxplot
  • R Histogram
  • R Line Graphs
  • R Scatterplots
  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Poisson Regression
  • Normal Distribution
  • Binomial Distribution
  • R Classification
  • Time Series Analysis
  • R Random Forest
  • T-Test in R
  • Chi-Square Test
  • R vs Python

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career Opportunities After Learning R Programming

Here’s a look at some of the most popular job roles for those who have learned R Programming:

  • Data Analyst

  • Business Analyst

  • Statistician

  • Data Scientist

  • Machine Learning Engineer

  • Software Developer

  • Web Developer

  • System Administrator

  • Database Administrator

  • Network Engineer

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