Data Science Training in Bangalore

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

Best Data Science Training in Bangalore

Softgen Infotech is rated as one of the Best Data Science Training Institutes in Bangalore based on Google and other third party reviews. We have completed over 2000 Training classes in Data Science and provided 100% placement assistance to students. Over the past 5 years, Team at Softgen Infotech is dedicated to provide High-Quality Training in Data Science.
 
Trainers at Softgen Infotech are handpicked from Data Science Industry and will have a minimum of 5 years of experience in implementing Data Science Technology. All Data Science Trainers are Professional real-time working consultants who offer hands on experience based on live scenarios.
 
Our Data Science training center in Bangalore is well equipped with lab facilities and excellent infrastructure for providing you real time training experience. We also provide certification training programs in Data Science.  We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide 100% placement support 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

    Data Science 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 Data Science Training Course

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    What Our Students Have to Say about Data Science Course

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    Kelvin Black
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    Zasha Swan

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