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# DataScience with R Training

## DataScience with R Training in Chennai

Learn how to use DataScience with R from beginner level to advanced techniques which is taught by experienced working professionals. With our DataScience with R Training in Chennai you’ll learn concepts in expert level with practical manner.

## DataScience with R Syllabus Total Duration : 37:00:00 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 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 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 : 04:00:00 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- Project work Duration : 08:00:00 hrs

• 2 Real-time projects

## DataScience with 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

### Besant Technologies BTM Layout

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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

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West Tambaram,
Chennai - 600 045
Tamil Nadu, India
Landmark - Behind National Theatre

+91-996 250 4283

### Besant Technologies Marathahalli

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Varthur Main Road, Silver Springs Layout,
Munnekollal, Marathahalli, Bengaluru - 560037
Karnataka, India
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+91-910 812 6341 / 910 812 6342

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Tamil Nadu, India
Landmark - Behind Okkiyampet Bus Stop, Above IBACO Ice Cream

+91-887 038 4333

### Besant Technologies Rajaji Nagar

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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
Land Mark: Opposite to Gopalakrishna Theatre

+91-996 252 8294

### Besant Technologies Jaya Nagar

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Jaya Nagar, Bangalore-560041
karnataka, India
Land Mark: Opposite to Shanthi Nursing Home

+91-7337837626