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Machine Learning using R

Informatica Training in Chennai

Machine Learning using R Training in Chennai

Our Machine Learning using R Training in Chennai aims to teach the complete Data Warehousing Concepts in a easier way. We are the Best Machine Learning using R Training Institute in Chennai in-terms of syllabus and expert teaching. We are covering almost all the transformations which is required for companies in Informatica.

Machine Learning using R Training Syllabus

Total Duration: 42:00:00 hrs

Module 1- Introduction to Data Analytics   (Duration: 04:00:00 hrs)

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   (Duration: 03:00:00 hrs)

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   (Duration: 04:00:00 hrs)

Objectives:

  • In this module, we start with a sample of a dirty dataset and perform Data Cleaning on it, resulting in a dataset, 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   (Duration: 04:00:00 hrs)

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   (Duration : 05:00:00 hrs)

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   (Duration : 05:00:00 hrs)

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   (Duration : 04:00:00 hrs)

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   (Duration : 02:00:00 hrs)

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   (Duration : 03:00:00 hrs)

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   (Duration : 08:00:00 hrs)

  • 2 Real-time projects

Machine Learning using R Training Reviews

Besant Technologies Reviews given by our students already completed the training with us. Please give your feedback as well if you are a student.

Besant Technologies Velachery

No.8, 11th Main road,
Vijaya nagar,
Velachery, Chennai - 600 042
Tamil Nadu, India
Landmark - Reliance Digital Showroom Opposite Street

+91-996 252 8293 / 996 252 8294

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No. 2, Ground Floor,
29th Main Road, Kuvempu Nagar,
BTM Layout 2nd Stage, Bangalore - 560 076
Karnataka, India
Landmark - Next to OI Play School

+91-762 494 1772 / 762 494 1774

Besant Technologies Tambaram

No. 31 / 11, Govindarajan Street,
West Tambaram,
Chennai - 600 045
Tamil Nadu, India
Landmark - Behind National Theatre

+91-996 250 4283

Besant Technologies Marathahalli

No. 43/2, 2nd Floor, VMR Arcade,
Varthur Main Road, Silver Springs Layout,
Munnekollal, Marathahalli, Bengaluru - 560037
Karnataka, India
Landmark - Near Kundalahalli Gate Signal
+91-910 812 6341 / 910 812 6342

Besant Technologies OMR

No. 5/318, 2nd Floor, Sri Sowdeswari Nagar,
OMR, Okkiyam Thoraipakkam, Chennai - 600 097
Tamil Nadu, India
Landmark - Behind Okkiyampet Bus Stop, Above IBACO Ice Cream

+91-887 038 4333

Besant Technologies Rajaji Nagar

No. 309/43, JRS Ecstasy, First Floor,
59th Cross, 3rd Block, Bashyam Circle,
Rajaji Nagar, Bangalore - 560 010
Karnataka, India
Landmark - Near Bashyam Circle

+91- 734 916 0004

Besant Technologies Porur

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Trunk Road, Porur, Chennai – 600116
Tamilnadu, India
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+91-996 252 8294

Besant Technologies Jaya Nagar

No. 2nd Floor,1575,11th Main Road, 4th T-Block, Pattabhirama Nagar,
Jaya Nagar, Bangalore-560041
karnataka, India
Land Mark: Opposite to Shanthi Nursing Home

+91-7337837626

 

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