R Language Online Training

Introduction

R is a programming language for numerical computing and graphics. It provides a variety of extensible graphical and statistical techniques. It is an innovation of the data scientist for analyzing the huge statistical data. It’s an important tool for advancement in machine learning spaces and numeric analysis. It is equipped with a unique feature that helps in processing, modeling and visualizing data. It is easy to learn and it takes only a few lines to write a complete code.

COURSE SUMMARY

Course NameR Language Online Training
ContentsFundamentals and Programming techniques of R language
Duration30 Hours with Flexible timings
DeliveryInstructor Led-Live Online Training
EligibilityAny Graduate
Ideal ForAspiring job seekers in the field of Programming
Live Online TrainingLive Interactive Training by Certified & Industry Expert Trainers by Providing On-Demand Server and Lab access.
AvailabilityRegular/Weekend Batches. 24×7 teaching assistance and support.

 

 

Course Objectives

  • Examine and Learn data manipulation with functions.
  • Learn the fundamentals of ‘R’ programming.
  • Apply Data Visualization to make fancy plots.
  • Apply Predictive Analytics to predict outcomes.
  • Perform exploratory Data Analysis.
  • Implement various Data Importing techniques in R.
  • Examine and understand Sentiment Analysis.
  • Learn Machine Learning Techniques.
  • Learn the concept of Regression.
  • Implement Linear and Logistic Regression and understand Anova.

PRE-REQUISITES:

  • Good Analytical Skills and Mathematical Skills

 

IQ Online training is best in an area which you can change your future in your brilliant career with our R Programming Online Training. We assured the Best R Programming Training as we team up with the most passionate, professional and dedicated Trainers. We offer Online R Language live training with latest course materials and functionalities. We also do corporate training and help to train their employees in other countries like USA, UK, India, Canada, Germany, UAE Etc. Download to self-paced R Language Training course content/material prepared by industry experts.

Course Curriculum

MODULE 1: OVERVIEW

TOPICS: History of R, Downloading and Installing, Advantages and Disadvantages, How to Find Documentation

MODULE 2: INTRODUCTION

TOPICS: Using the R Console, Learning About the Environment, Getting Help, Saving Your Work, Writing and Executing Scripts

MODULE 3: INSTALLING PACKAGES, DATA STRUCTURES AND VARIABLES

TOPICS: Installing Resources, Finding Resources, Variables And Assignment, Data Types, Viewing Data and Summaries, Indexing, Naming Conventions, Sub Setting

MODULE 4: GETTING DATA INTO THE R ENVIRONMENT

TOPICS: Built-In Data, Reading Data Using ODBC, Reading Data from Structured Text Files

MODULE 5: CONTROL FLOW

TOPICS: Truth Testing, Looping, Branching, Vectorized Calculations

MODULE 6: FUNCTIONS IN DEPTH

TOPICS: Parameters, Variable Scope, Return Values, Exception Handling

MODULE 7: HANDLING DATES IN R AND DESCRIPTIVE STATISTICS

TOPICS: Formatting Dates for Modeling, Date and Date-Time Classes in R, Categorical Data, Continuous Data

MODULE 8: INFERENTIAL STATISTICS

TOPICS: Bivariate Correlation, Chi-Squared Test, T-Test and Non-Parametric Equivalents, Power Testing, Distribution Testing

MODULE 9: GRAPHICS

TOPICS: Base Graphics System In R, Exporting Graphics To Different Formats, Scatterplots, Dot Plots, Axes, Box And Whiskers, Bar Charts, Titles, Histograms, Legends, Understanding The Grammar Of Graphics, Labels, Building Graphics By Pieces, Quick Plot Function

MODULE 10: LINEAR REGRESSION

TOPICS: Linear Models, Interaction in Regression, Regression Plots, Scoring New Data from Models

MODULE 11: ADVANCED MISSING DATA TECHNIQUES

TOPICS: Study of Different Types of Missing Data, Multiple Imputation, AMELIA Package, Implications for Analysis

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