Machine Learning Using R Training in Chennai

TIC Academy  provides 100% real-time, practical and placement focused Machine Learning Using R training in Chennai. Our Machine Learning Using R course concentrates from basic level training to advanced level training. Our Machine Learning Using R training in completely focused to get placement in MNC in Chennai and certification on Machine Learning Using R after completion of our course. Our team of Machine Learning Using R trainers are Machine Learning Using R certified professionals with more real-time experience in live projects. Our Machine Learning Using R Course syllabus is enough for anyone who wants to get Machine Learning Using R certification which meets industry expectations. In our course plan, you will learn Introduction to R,Data Processing using R,Programming in R,Graphics Using R,Machine Learning with practical exercises and live examples.

Our TIC Academy is completely looking to offer this Machine Learning Using R training in various places in and around Chennai. Our Machine Learning Using R training centers are equipped with perfect environment to learn with all required facilities. We guide our Machine Learning Using R training students to be a certified at end of our course. In the last six months time frame we are completed Machine Learning Using R training for more than 70+ students with excellent feedback and placements. We are charging very competitive in the market which helps to bring more Machine Learning Using R professionals into this market. Our Machine Learning Using R training course fee is very nominal which anyone can pay in installment basis as well. We are having multiple class timings which suit everyone who wants to learn in their own timings. Our Machine Learning Using R training will be scheduled in regular weekdays and weekends based on the students request. We do have fast track Machine Learning Using R training and online Machine Learning Using R training with one-to-one basis. We are giving more Machine Learning Using R training for corporate which employees of their company will be benefits with our training.

Machine Learning Using R Training Support

8680073004

Machine Learning Using R Training Syllabus in Chennai

Module 1- Introduction to Data Analytics

Objectives:

  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
  • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.

Topics

  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R

Module 2- Introduction to R programming

Objectives:

  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the ‘join’ function in SQL.

Topics

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Module 3- Data Manipulation in R

Objectives:

  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.

Topics

  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

Module 4- Data Import techniques in R

Objectives:

  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.

Topics

  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Module 5- Exploratory data Analysis

Objectives:

  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.

Topics

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs

Module 6- Basics of Statistics & Linear & Logistic Regression

Objectives:

  • This module touches the base of Descriptive and Inferential Statistics and Probabilities & ‘Regression Techniques’.
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.

Topics

  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression

Module 7- Data Mining: Clustering techniques, Regression & Classification

Objectives:

  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
  • The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
  • We will also discuss the process involved in ‘K-means Clustering’, the various statistical measures you need to know to implement it in this module.

Topics

  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering

Module 8- Anova & Sentiment Analysis

Objectives:

  • This module tells you about the Analysis of Variance (Anova) Technique.
  • The algorithm and various aspects of Anova have been discussed in this module
  • Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and mine live data from Twitter to find out the sentiment of the tweets.

Topics

  • Anova
  • Sentiment Analysis

Module 9- Data Mining:  Decision Trees and Random Forest

Objectives:

  • This module covers the concepts of Decision Trees and Random Forest.
  • The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.

Topics

  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

Module 10- Project work

  • 2 Real-time projects

 

Machine Learning Using R trainer Profile & Placement

Our Machine Learning Using R Trainers

  • More than 10 Years of experience in Machine Learning Using R Technologies
  • Has worked on multiple realtime Machine Learning Using R projects
  • Working in a top MNC company in Chennai
  • Trained 2000+ Students so far
  • Strong Theoretical & Practical Knowledge
  • certified Professionals

Machine Learning Using R Placement Training in Chennai

  • More than 2000+ students Trained
  • 97% percent Placement Record
  • 980+ Interviews Organized

Machine Learning Using R  Training Locations in Chennai

Our Machine Learning Using R Training centers

  • Adyar
  • Ambattur
  • Adambakkam
  • Anna Nagar
  • Anna Salai
  • Ashok Nagar
  • Choolaimedu
  • Chromepet
  • Ekkattuthangal
  • Guindy
  • Kodambakkam
  • Madipakkam
  • Mylapore
  • Porur
  • Saidapet
  • T. Nagar
  • Tambaram
  • Vadapalani
  • Velachery
  • Villivakkam
  • Virugambakkam

Machine Learning Using R training batch size in Chennai

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 8 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 8 (maximum)

Fast Track batch

  • Seats Available : 5 (maximum)

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