Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Crash Course - R programming from Scratch & workout
Rating: 4.2 out of 5(62 ratings)
772 students

Crash Course - R programming from Scratch & workout

Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable
Last updated 12/2023
English

What you'll learn

  • Import / Enter / Viewing data and metadata in R
  • Conduct Frequency Distribution Analysis / Univariate Analysis in R
  • Create derived variables
  • Merge / Append data sets
  • Sort / Subset data sets
  • Learn to substring variables
  • Create cross tab analysis
  • conduct Linear Regression analysis

Course content

5 sections49 lectures3h 51m total length
  • Course Overview2:02
  • Welcome Note1:06
  • Section Agenda0:54
  • Installation of R and R studio / Understand R environment3:42
  • Understand Data for Workout1:29

    Please download associated excel files. This should be available in right side download section

  • Download files used in the course2:39
  • Section PDF11:00

Requirements

  • This is a basic course
  • intermediary computer skills required to install R, R studio and run commands seeing it on video

Description

  What is this course about? 

          This course helps student learn R syntax for 

  • Import / Enter / Viewing data and metadata in R

  • Conduct Frequency Distribution Analysis / Univariate Analysis in R

  • Create derived variables

  • Merge / Append data sets

  • Sort / Subset data sets

  • Learn to substring variables

  • Create cross tab analysis

  • conduct Linear Regression analysis

  • 10 Practice case studies

  Terminology associated with the course 

  • R syntax

  • Data Mining

  • Analytics

  • Machine Learning

        Material for the course 

  • 20 HD Videos

  • Excel Data sets

  • PDF of presentation

  • R code

  How long the course should take? 

        Approximately 4 hours to internalize the concepts 

  How is the course structures 

  • Section 1 - explains how to get R, R Studio, Understand environment and data for workout 

  • Section 2 - explains the R syntax through examples 

  • Section 3 - explains some other syntax needed for working 

  • Section 4 - Practice Case Studies - apply your knowledge to solve business problems

There are 10 workouts included in the course, which will help users to master the concepts of R programming from industrial usage perspective. Students should try these practices on their own before jumping to solution provided.

  Why take this course? 

        This course ensures quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. 

Who this course is for:

  • Those who wants to learn basic R programming with Example
  • Those who know SAS and know wants to know, how to get the same analysis done in R