Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
R: Learn to Program in R & Use R for Effective Data Analysis
Rating: 4.0 out of 5(45 ratings)
544 students

R: Learn to Program in R & Use R for Effective Data Analysis

Go deeper into Data Analysis. Learn R—Google & Facebook employees use it to do data manipulation and management.
Created byATI - Analytics Training Institute
Last updated 4/2017
English

What you'll learn

  • In this course,you will learn to implement Data Manipulation , Data management and Textual Analytics Basics through R

Course content

6 sections • 27 lectures • 3h 32m total length

  • The R-Handbook : For the Frequent travelers2:13:00
  • Introduction to R0:32

    Getting to know R and it's origin

  • Installing R and R Studio2:30

    - This video is to demonstrate how to download R and R Studio

  • Getting to know R Studio8:39

    - Introducing R studio

    - Refer Attached Installation Guide for help in Installation

    Please download the attached material

Requirements

  • You will require a working R/R Studio software to complete the course exercises. You can download the software from cran.r-project.org

Description

This course is about learning R Tool which is one of the most popular Analytical Tool used in the Industry.

Why learning R will make a difference / Why this Course ?

- Professional Relevance :

R is gaining popularity day by day ; companies like Facebook, Google are using R in extensive manner. Demand for the tool is increasing as it is available for free.

- Put your Resume in spotlight :

In most of the Data Analyst Resume you will find SAS/SPSS and other conventional tools ; by learning R you can add extra points to your Resume.

- Its easy to Learn R :

R is an opensource language ; it is available for free. Huge R community is adding to the functionality of R daily . All the tutorials/code are easily available.

Materials Included :

- Materials in the form of attachments are included with the session itself ( wherever necessary)

Structure of the course :

The course has 5 sections with 15 lectures. It is designed to introduce you to foundational topics leading to more complex ones as you progress.

Section 1: Know your R Tool

Section 2: Data Manipulation : Use of Data types and Data structures

Section 3: Data Management : Packages and File import/export

Section 4: Advance Use : Logical operation and Merging in R

Section 5: Text Analytics Project : Learn how to create wordcloud

Duration of the course :

The course has 5 sections with 15 lectures and the overall duration of the course is 2.5 hours.

Who this course is for:

  • Who likes to Analyze data and learn latest tool and Techniques
  • Who likes to do learn about Text Analytics
  • Who wants to make Data Analysis task looks too easy
  • Who wants to build his carrier in Analytics domain

Report abuse