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R Programming

Time:  24 Hours

 

Prerequisite:

Basic programming knowledge is preferred.

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Course overview:

 

R for Data Analysis will introduce you to data manipulation in R programming. You will learn about analysis, manipulating data and grouping it to prepare the data. You will also learn how to take data you prepared and present it on visualizations.

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Course Content:

  • Vector creation

  • Data types and Structures

  • Data Statistics

  • Data Frame

  • Programming Structures, Functions, and Data Relationships

  • R Functions

  • Linear Programming

  • Data Analysis

  • Exploring and Visualizing Data

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Who should go for this course?

 

Programmer, Database Developer,  Designer and Architect.

 

 

Special notes: 

 

  • Certification preparation 

  • Project work

  • Hands-on labs

Staffing Support​

  • Resume Preparation

  • Mock Interview Preparation

  • Phone Interview Preparation

  • Face to Face Interview Preparation

  • Project/Technology Preparation

  • Internship with internal project work

  • Externship with client project work

Our Salient Features:

  • Hands-on Labs and Homework

  • Group discussion and Case Study

  • Course Project work

  • Regular Quiz / Exam

  • Regular support beyond the classroom

  • Students can re-take the class at no cost

  • Dedicated conf. rooms for group project work

  • Live streaming for the remote students

  • Video recording capability to catch up the missed class

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