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Big Data Analytics using R at ScholarsPro





 
#703, 30th Main, 1st Phase, 2nd Stage,
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About The Course:-

R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

Who Should Take this?

This course is ideal for engineers, scientists, researchers, and business analysts.

Course Objectives:-

After completing the course, students will be able to learn and understand

  • Big Data concepts, characteristics, use cases and significance of R in Big Data Analytics.
  • Advanced Analytics, Data Mining, and Data Visualization tools

Introduction

Big Data Concepts
Characteristics,
use cases and significance of R in Advanced Analytic

Advanced Analytics
Data Mining,
Data Visualization tools ( Endeca, Tableau)

Introduction to R
Installing R
Writing and running simple example R programs
Generating graphical results.

Creating Datasets
Reading in data from the keyboard and external sources
Data structures for storing data:
vectors
matrices
arrays
data frames
factors
lists

Basic R language elements
Numeric and character functions
Control flow: branching and looping

Using and writing R functions
Calling package-installed functions
Writing and calling programmer-defined functions

Basic Graphs
bar plots
pie charts
histograms

Basic Statistical Modeling
basic regressio
analysis of variance

Advanced Techniques
advanced graphing: annotating graphs, scatter plots and line charts
survey of sample intermediate statistical and machine learning techniques:
Generalized linear models, regression and classification tree models.

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Start-End Dates: Contact Institute
Instructional Level: Appropriate for All
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Reading Material
EMI Option
Online Support
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Practice Exams
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