Training in BTM is a leading Training as well as Placement company with experience in leading IT Sectors of India. Our training reproduces the latest technologies, techniques, as well as processes that are advanced in practical knowledge collected from years of experience. DataScience Training in BTM Layout offers planned training paths intended for the certification skills necessary to work in latest technological environment, while offering a wide-ranging curriculum of application centric courses for customers looking to implement upgraded/new business applications. The purpose of software Professional training is to help students to advance their knowledge overtime while being acknowledged for their achievement.

DataScience Training in BTM Layout is an outstanding Online and corporate training center. We provide a number of tailored training programs for small, medium along with big organizations in Bangalore and across India. Our training courses are very cost effective for all clients/students plus students. Our training Syllabus is prepared from the team of experts and the students can improve from basic knowledge to advance level. Our Syllabus includes Introduction to R , Understanding R data structure , Importing data , Manipulating Data , Using functions in R , R Programming , Charts and Plots , Machine Learning Algorithm , Statistics , Leading Topics with real time experience.

Training in BTM Layout is one of the greatest Software training institutes in Bangalore with 100% placement support. It has well defined training modules in addition to training sessions for pupils. At DataScience Training in BTM Layout, training is conducted in day time classes on all weekdays as well as weekends to suit the timings for all students and working professionals .DataScience Training in BTM Layout helps you acquire a foothold in the growing IT & ITeS industry. 100% Placement Assistance- While a student finishes his/ her course effectively, our dedicated Placement Cell arranges interviews with major companies. This wide hands-on experience in Software training ensures that you captivate the knowledge as well as skills that you can apply at work after your placement. All of our mentors are work specialists with years of experience in well recognized IT sectors. Learning from the work experts is the only method to understand what happens in the actual IT world.

Session : 1 – Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Overview

Session : 2 – 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

Session : 3 – 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

Session : 4 – 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

Session : 5 – 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

Session : 6 – R Programming

  • While loop
  • If loop
  • For loop
  • Arithmetic operations

Session : 7 – Charts and Plots

  • Box plot
  • Histogram
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs
  • Cover all the current trending packages for Graphs

Session : 8 – Machine Learning Algorithm:

  • Sentiment analysis with Machine learning
  • C 5.0
  • Support vector Machines
  • K Means
  • Random Forest
  • Naïve Bayes algorithm

Session : 9 – Statistics:

  • Correlation
  • Linear Regression
  • Non Linear Regression
  • Predictive time series forecasting
  • K means clustering
  • P value
  • Find outlier
  • Neural Network
  • Error Measure

Session : 10 – 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

Thanks for the best ever Training. I did my Android Course here. Trainer is very good in knowledge. They provides the best ever Support to me.

Kaviya