R Programming Training

R Programming

R Programming Training With Data Science

Master Data Analysis and Visualization with Our R Programming Course

Unlock the potential of R, the powerful language for statistical computing and data visualization. Whether you're a beginner looking to break into the world of data science or a professional aiming to expand your skillset, our R Programming Course is your gateway to mastering data analysis.


Course Highlights

  • Mode of Learning: Live Online Interactive Sessions
  • Instructors: Industry Experts with Proven Expertise in R Programming
  • Fee: Affordable Pricing With Easy Instalment options.
  • Certification: Receive a recognized certification upon completion
  • Free Trial Class: Evaluate the course before enrolling
  • Placement Assistance: Comprehensive support for job seekers
  • Internship: Work on real-time projects to gain practical experience
  • 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
  • tools
  • Module: 6 Data manipulation in R

    • List Management
    • Data Transformation
    • Merging Data Frames
    • Outlier Detection
    • Combining multiple vectors

    Module: 7 R 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