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