R Language Training

by Infey Technology Claim Listing

R Programming is a powerful statistical programming language. You can evaluate large datasets in a shorter period with R programming. It is becoming the most sought after skill in the area of analytics for its open source credibility.

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Course Details

R Programming is a powerful statistical programming language. You can evaluate large datasets in a shorter period with R programming. It is becoming the most sought after skill in the area of analytics for its open source credibility.

The amazing packages present in R will assist in making out a short data analysis. R can also be coordinated with other data management tools including Excel, Oracle, SQL Server etc.

When you have knowledge of R programming and a reasonable knowledge of statistics then you will have an amazing career in data analytics. Being a free software makes R an exhaustively used programming language. This also leads to creation of lot of opportunities for professionals who are interested in taking up a career in R Programming.

 

The Objective of R Programming Training:

Our primary aim is to make students acquainted with basic and advanced concepts of R programming language. We train the experienced professionals to learn the application of R language in statistical evaluation, data visualization, machine learning, data mining etc.

 

Prerequisites:

  • Authenticate Interest in Statistical Programming
  • Basic Understanding of statistic and data structure

Ready to run R and RStudio

 

Why You Should Learn R Programming?

  • Trainer: We have excellent trainers who work for real-time project in R language. They know how to harness the skills of the students and make them prepared to work in IT companies.
  • Batch sizes: The batch sizes are maintained small to encourage interactive learning.
  • Project-Based R Training: We have prepared R programming projects for our students that complies with the latest industry requirements. This will definitely provide you with exposure to industry and give the required confidence.
  • Backup classes: Students gain satisfaction through our backup classes. We don’t make them to miss any significant R programming topic. Our aim is to deliver the best content through our training.
  • Course Completion Certificate: You will be provided with a course completion certificate once you complete the course. This certificate will assist you in accomplishing your aims and stay ahead in the competition.
  • Practical exposure: Enrolling for R programming training  offers a comprehensive knowledge of R and also practical exposures to it. You become expert in analytics and theoretical aspects too.
  • Career-Oriented Training: When you get R certification from Infey Technology you will gain knowledge and skills that are needed to become the best data scientist in the industry that your prefer.

 

Syllabus:

  • R- Language Training Course Syllabus
  • Module: 1 R Introduction
  • Overview of R Programming
  • Downloading and installing
  • Help of Function
  • Viewing documentation
  • General issues in R
  • Package Management
  • Module: 2 Data Inputting in R
  • Data Types
  • Subsetting
  • Writing data
  • Reading from csv files
  • Creating a vector and vector operation
  • Initializing data frame
  • Control structure
  • Re-directing R Output
  • Module: 3 Data Visualization
  • Creating bar chart and dot plot
  • Creating histogram and box plot
  • Plotting with base graphics
  • Plotting and coloring in R
  • Module: 4 Basic Statistic
  • Computing Basic Statistics
  • Comparing means of two samples
  • Testing a proportion
  • Data Munging Basics
  • Module: 5 Functions and Programming in R
  • Flow control: For loop
  • If condition
  • Debugging tools
  • Module: 6 Data manipulation in R
  • List Management
  • Data Transformation
  • Merging Data Frames
  • Outlier Detection
  • Combining multiple vectors
  • Module: 7 R an Database
  • Performing queries
  • RODBC and DBI Package
  • Advanced Data handling
  • Combined and restructuring data frames
  • Module: 8 Statistical Modelling in R
  • Logical Regression
  • Hierarchical Clustering PCA for Dimensionality Reduction
  • Salem Branch

    2nd floor, navanidhi complex, Salem

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