R Programming Language Training course

Course Content for R-Language

Course Objective

R Language is programmer for statistical analysis. Statistical Analysis plays major role in the Data Analysis. R is support to research and analysis purpose. It is free source software using this we can do machine learning concepts, statistical analysis and deployment to the researcher.

S.No

Topic

Detailed Syllabus

1

Introduction to R

About R, working with tool and  explanation

2

Basic Data Types

Data types in R(Numeric, Integer, Complex, Logical, Character) and how to use this Data types in R

3

Objects

Creating Objects(Vectors, Matrices, Factors, Arrays, Data frames),uses  and creating objects

4

Functions and Loops Etc.,

Creating, accessing function in R

5

Data Preparation

Data Coding, Data Cleaning, Identification Outlier, Handling Missing Values

6

Statistics

Basics concepts in statistics

7

Regression & Types of Regression

Linear Regression, Multiple Regression , Logistic Regression

8

Classification Methods

Discriminant Analysis – Basics, Rotation Methods involved in DA.

9

Cluster Analysis

Cluster Analysis Basics and real life Examples

10

Analysis of Variance

Anova , Manova

11

Survival Analysis

Types of Non parametric test in Survival and Cox proportional Hazard Rate Model

12

Time series

Forecasting

13

Machine Learning

Algorithms and Coding for Concepts in ML

14

Backup Classes

Doubts clarification for all Session

Courses  Offerings       

• Android
• AIX Administration
• Business Analyst
• Citrix  XenApp
• Cognos 10 BI & Tm1
• Data Stage
• DB2 DBA
• Dot Net
• DAC
• Google Web Tool Kit
• IBM Lotus Notes (Development)
• IBM Lotus Notes Domino Server Administration
• IBM Message Broker
• IBM MQ Series
• IBM Tivoli Access Manager
• IBM Web Sphere Application Server Administration (WAS)
• IBM WAS Portal server Development
• Informatica
• I Phone
• Java/J2EE         
• J Query 
• MicroSoft .NET Technologies (VB.NET, C#, ASP.NET)
• Microstrategy
• MicroSoft Business Intelligence
• MicroSoft Dynamics CRM
• OBIEE 11 g
• Oracle APPS –  HRMS
• Oracle APPS –  SCM
• Oracle APPS –  Financial
• Oracle APPS – Technical
• Oracle BI Apps  
• Oracle BI Publisher
• Oracle DBA  11g
• Oracle RAC
• Oracle Fusion SOA 
• Oracle SQL , PL SQL
• PHP
• Perl Scripting
• SAP  SD  ,  BO  , FICO , BI / BW , APO
• Sales Force CRM
• SharePoint Server 2010
• Shell Scripting
• Siebel CRM , EAI, E-Scripting
• SQL Server DBA
• Springs and Hibernate
• Storage Area Network  ( SAN)
• Testing Tools  - QTP, QC, Load Runner, Selenium, ISTQB
• TIBCO BW, BE, TIBCO I Process
• Tivoli Access Manager
• Unix Administration
• VN Ware
• WCF, WPF, LINQ,  AJAX, SILVER LIGHT
• Webmethods
• Webservices   , SOAP ( JAVA)

Drop a mail [email protected]  we will get in touch with u

http://www.futurepointtech.com/r-programming-language-training.html

Course Content for R-Language

Course Objective

R Language is programmer for statistical analysis. Statistical Analysis plays major role in the Data Analysis. R is support to research and analysis purpose. It is free source software using this we can do machine learning concepts, statistical analysis and deployment to the researcher.

S.No

Topic

Detailed Syllabus

1

Introduction to R

About R, working with tool and  explanation

2

Basic Data Types

Data types in R(Numeric, Integer, Complex, Logical, Character) and how to use this Data types in R

3

Objects

Creating Objects(Vectors, Matrices, Factors, Arrays, Data frames),uses  and creating objects

4

Functions and Loops Etc.,

Creating, accessing function in R

5

Data Preparation

Data Coding, Data Cleaning, Identification Outlier, Handling Missing Values

6

Statistics

Basics concepts in statistics

7

Regression & Types of Regression

Linear Regression, Multiple Regression , Logistic Regression

8

Classification Methods

Discriminant Analysis – Basics, Rotation Methods involved in DA.

9

Cluster Analysis

Cluster Analysis Basics and real life Examples

10

Analysis of Variance

Anova , Manova

11

Survival Analysis

Types of Non parametric test in Survival and Cox proportional Hazard Rate Model

12

Time series

Forecasting

13

Machine Learning

Algorithms and Coding for Concepts in ML

14

Backup Classes

Doubts clarification for all Session

 Drop a mail [email protected]  we will get in touch with u

 http://www.futurepointtech.com/r-programming-language-training.html

http://www.futurepointtech.com/r-programming-language-training.html