Learning R through an Example
4.6 (14 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,487 students enrolled

Learning R through an Example

R Language can be used for various application and is very widely used. Here we introduce some of the most vital aspects
Highest Rated
4.6 (14 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,487 students enrolled
Created by Partha Majumdar
Last updated 11/2019
English
Current price: $13.99 Original price: $19.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 2 hours on-demand video
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Learn the Basics of R Programming
  • How to write R Program to create Word Cloud
  • How to write R Program for generates Number in Words for a given Number
Requirements
  • Some Programming Skills
  • Some knowledge of Statistics
Description

This is an introductory program on R Programming. We go through the basics of R Language and take on some advanced topics like connecting to a Database and creating Presentations.

This course is targeted for people who are getting started with R programming. This course can be useful for student and professionals. This course is design especially for professionals in Executive positions who would like to process data for making managerial decisions.

Who this course is for:
  • Beginners to Programming
  • Executives who have stopped programming for quite a while
  • Students
  • Data Scientists
  • Data Analysts
Course content
Expand all 13 lectures 01:53:18
+ Learning R through an Example
5 lectures 39:04

This is a primer in R Programming. However, we deal with some advanced concepts as well so that the program enables students and professionals to use R Language for their daily works.

Preview 02:24

In this chapter, we learn where to get R and RStudio. We then go through the steps to install R and RStudio.

Install R and RStudio
02:28

In this chapter, we go through some basic functions in R Language.

A little knowledge of Statistics will help understand this chapter better. However, that is not mandatory.

Basic R
10:04

In this chapter, we discuss the mechanism for reading data from files. We use a Comma Separated Values (CSV) File.

Then, we discuss some operations on the data that is read from the file. These operations are typical database operation what is needed for conduction on such data.

Dealing with Files containing Data using R
16:36
+ Learning R through an Example - Part 2
5 lectures 25:46

In this section, we will learn how to interface R with a Database. We will be using DB2 Database on IBM Cloud. However, the same concepts can be applied to connect to any other Database Engine.

Then, we will see how to create various types of Graphs. We will primarily use ggplot2 package of R.

Last, we will learn how to create Presentations using R.

Overview
00:54

In this chapter, we learn how to connect to a Database. We use DB2 database on IBM Cloud to illustrate the concepts. Using these concepts, we can connect to any Database Engine.

We then see how to fetch data from a Database. The command used for fetching data can also be used to update data in the Database.

Preview 04:13

In this chapter, we learn how to create different types of Graphs using ggplot2 package of R. ggplot2 is a very powerful package and requires a course by itself to learn. We introduce the basic aspects which can get you started with ggplot2.

Creating Graphs with R using ggplot2
10:57
Creating Presentation with R
08:54

We thank you for participating in our program - "Learning R through and Example". Please join us for our future programs.

Best Wishes!!!

Summary and Thank You
00:48
+ Bonus Videos
3 lectures 48:28

In this video, we discuss how to generate Word Clouds using R Language.

Preview 12:17

Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

Sentiment Analysis
17:51