**Data Science with R Training in Navalur**

Join and learn **Data Science with R Training in Navalur. **Data science is an exciting method that allows you to convert unprocessed data into insight, knowledge, and understanding. The purpose of R for data science is to help in learning about the most important tools in R that enables you to do data science.

Let us take a look at some of the advantages of **Data Science with R Training in Navalur** below.

**Helps in Data Wrangling –**This process helps in cleansing messy and complex data sets to allow convenient consumption and further analysis. This is a very significant and time-consuming process in data science.R has a widespread tool for database manipulation and wrangling. Some of the general sequences for data manipulation is R will include packages like dplyr Package, data. table Package, readr Package. The dplyr package is best known for its data exploration and transformation capabilities and also a highly adaptive chaining syntax.**Helps in Data Visualisation –**Data visualisation is the method of representing data in a graphical manner. This helps in analysing data from the angles which are not really recognisable or data being tabulated. There are a lot of tools which R uses to help in Data analysis, Data representation, and Data Visualisation. Any statistical approach is shown through the libraries; this makes it more clear to you. The members of our faculty are very knowledgeable in both programming and statistics; this gives a special edge and so making the perfect choice for your data science projects.**Helps in Availability –**R is an open source programming language that is cost-effective for the projects of any size. As it is an open source, the developments in R tends t increase rapidly and the community of developers in very high. New developers also get the opportunity to explore the landscape of R programming as it is easier and cost effective to outsource or recruit R developers.

If you are looking for the best **Data Science with R Training in Navalur**, our training institute should be your destination. Enrol yourself for a demo session and get classes fixed based on your convenience.

**Data Science with R Training in Navalur Syllabus:**

**Introduction to R**

What is R?

Why R?

Installing R

R environment

How to get help in R

R Studio Overview

**Understanding R data structure**

Variables in R

Scalars

Vectors

Matrices

List

Data frames

Cbind,Rbind, attach and detach functions in R

Factors

Getting a subset of Data

Missing values

Converting between vector types

**Importing data**

Reading Tabular Data files

Reading CSV files

Importing data from excel

Loading and storing data with clipboard

Accessing database

Saving in R data

Loading R data objects

Writing data to file

Writing text and output from analyses to file

**Manipulating Data**

Selecting rows/observations

Rounding Number

Creating string from variable

Search and Replace a string or Number

Selecting columns/fields

Merging data

Relabeling the column names

Data sorting

Data aggregation

Finding and removing duplicate records

**Using functions in R**

Apply Function Family

Commonly used Mathematical Functions

Commonly used Summary Functions

Commonly used String Functions

User-defined functions

local and global variable

Working with dates

**R Programming**

While loop

If loop

For loop

Arithmetic operations

**Charts and Plots**

**Box plot**

Histogram

Pie graph

Line chart

Scatterplot

Developing graphs

Cover all the current trending packages for Graphs

**Machine Learning Algorithm:**

Sentiment analysis with Machine learning

C 5.0

Support Vector Machines

K Means

Random Forest

Naïve Bayes algorithm

**Statistics:**

Correlation

Linear Regression

Non-Linear Regression

Predictive time series forecasting

K means clustering

P value

Find outlier

Neural Network

Error Measure

**Leading Topics:**

Overture of R Shiny

What is Hadoop

Integration of Hadoop in R

Data Mining using R

Clinical research preface in R

API in R (Twitter and Facebook)

Word Cloud in R