R Analytics Programming Training in Bangalore

Learn R Analytics Programming Course from Expert Oracle Trainers who are Real-time Working Professionals.
Expert Trainers | Practical Training | Mock Interviews | Placement Assistance | Job Support

Best R Analytics Programming Training in Bangalore

Based on Google and other third-party reviews, Softgen Infotech is recognized as one of the Best R Analytics Programming Training Institutes in Bangalore. We have completed over 2000 R Analytics Programming training sessions with a 100% placement rate, assisting college students. For the past 5 years, the team at Softgen Infotech has been dedicated to providing High-Quality R Analytics Programming Training.

Softgen Infotech’s trainers come from the R Analytics Programming Training industry and have at least 5 years of experience implementing R Analytics Programming Training. All R Analytics Programming trainers are real-time specialists who provide hands-on experience with practicals.

Our R Analytics Programming training center in Bangalore is well equipped with labs and good infrastructure to provide you with hands-on training. We also offer R Analytics Programming certification training programmes. We have successfully trained and placed the majority of our students in large MNC firms. Softgen provides R Analytics Programming programmes with 100% placement assistance for our students.

 

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    Why Choose Softgen Infotech

    Softgen Infotech is a leading Training Institute in Bangalore providing Quality Training for Multiple IT Courses with Placement Assistance.

    Live & Interactive Sessions

    Real Time Training

    Practical Classes

    Interview & Placement Assistance

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    Worried or Confused whether this is the right course for you? Feel free to reach our Expert Consultant for all your Queries !

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    Course Material & Syllabus

    Get all Course Content and Syllabus. Get Trained like a  Professional. We Provide Course Material, Prepare for Interviews, Arrange Mock Interviews and 100 % Placement Assistance

    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

    R Analytics Programming Training Course Duration & Batch Timings

    Duration : 30 Hours Version : latest Version
    Regular : 1 Hour per day Fast Track : 2 - 3 Hours per day: 10 days
    Weekdays : Monday - Friday Weekend : Saturday and Sunday
    Online Training : Available Class Room Training : Available
    Course Fee : Talk to our Customer Support Mode of Payment : Talk to our Customer Support

    Frequently Asked Questions for R Analytics Programming Training Course

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    What Our Students Have to Say about R Analytics Programming Course

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    Kelvin Black
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