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DATA-ANALYTICS-R - Data Analytics with R Training Course

Overview

Duration: 3 days

This course offers hands-on experience with R and its major features, including installation, data analytics, data science and real time applications. On completion, participants will have a solid foundation for creating enterprise-ready models using R.

Objectives

  • End to End data science model creation using R 
  • Basic and Advance data analytics 
  • Reap insights out of data 
  • Visualizations using R

Content

MODULE 1: INTRODUCTION TO R 

  • Installing R 
  • Basics of Statistics 
  • Using R in real world

MODULE 2: CORE PROGRAMMING PRINCIPLES 

  • Types of variables 
  • Using Variables 
  • Logical Variables and Operators 
  • The "While" Loop · Using the console
  • The "For" Loop 
  • The "If" statement 
  • Law of Large Numbers

MODULE 3: FUNDAMENTALS OF R 

  • What is a Vector? 
  • Let's create some vectors 
  • Using the [] brackets 
  • Vectorized operations 
  • The power of vectorized operations 
  • Functions in R 
  • Packages in R
  • Financial Statement Analysis

MODULE 4: MATRICES 

  • Project Brief: Basketball Trends 
  • Matrices · Building Your First Matrix 
  • Naming Dimensions 
  • Colnames() and Rownames() 
  • Matrix Operations 
  • Visualizing With Matplot() 
  • Subsetting 
  • Visualizing Subsets 
  • Creating Your First Function 
  • Basketball Insights 
  • Basketball Free Throws

MODULE 5: Data Frames 

  • Project Brief: Demographic Analysis 
  • Importing data into R 
  • Exploring your dataset 
  • Using the $ sign 
  • Basic operations with a Data Frame 
  • Filtering a Data Frame 
  • Introduction to qplot 
  • Visualizing With Qplot: Part I 
  • Building Dataframes 
  • Merging Data Frames 
  • Visualizing With Qplot: Part II 
  • World Trends

MODULE 6: ADVANCED VISUALIZATION WITH GGPLOT2 

  • Project Brief: Movie Ratings 
  • Grammar Of Graphics - GGPlot2 
  • What is a Factor? 
  • Aesthetics 
  • Plotting With Layers 
  • Overriding Aesthetics 
  • Mapping vs Setting 
  • Histograms and Density Charts 
  • Starting Layer Tips 
  • Statistical Transformations 
  • Using Facets 
  • Coordinates 
  • Perfecting By Adding Themes 
  • Movie Domestic % Gross

MODULE 7: REAL TIME CASE STUDIES

Audience

Applicable to all.

Prerequisites

No pre-requisites. Good to know basic statistics even though it will be part of syllabus

Certification

Trainocate Certificate of Attendance

Schedule

Show Schedule for: