R: Learn to Program in R & Use R for Effective Data Analysis
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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.
4.6 (24 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
459 students enrolled
Last updated 4/2017
English
Current price: $10 Original price: $20 Discount: 50% off
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Includes:
  • 3.5 hours on-demand video
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • In this course,you will learn to implement Data Manipulation , Data management and Textual Analytics Basics through R
View Curriculum
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 is the target audience?
  • 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
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Curriculum For This Course
27 Lectures
05:46:58
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R Getting Started
4 Lectures 11:41

Getting to know R and it's origin

Preview 00:32

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

Installing R and R Studio
02:30

- Introducing R studio

- Refer Attached Installation Guide for help in Installation

Please download the attached material

Preview 08:39
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Under the hood
11 Lectures 01:24:22

- Understanding Working Directory

- How to change Working Directory

- Creating files through R

- Saving and Loading R Workspace

Preview 09:01

- Why Data Type is important ?

- Implementing Basic Data types in R

Preview 07:33

- Take a sneak peek on some mathematical basic operations in R

Basic Operations in R
08:10

Learn some more mathematical operations in R

Basic Operations in R (Contd)
05:26

- ...and now time to look into some character operations in R

Basic Operations in R (Contd)
07:34

- Understanding data structure in R

- What is a vector

- Features of vector

- How to create a vector

Data structure - Vectors
14:12

Learn how to do set operations in Vectors

Set Operations with Vectors
07:01

- Understanding a bi-directional array like Dataframe

- Creating Dataframes

- Features of Dataframes

Data structure - Dataframe
08:05

- Set operations with Dataframes

Dataframes (Contd)
06:19

- Difference between Dataframe and List

- How to create Matrix in R

Data structures - List and Matrix
08:06

- Using Factors to create class variables

Factors : Last data type
02:55
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Data management
4 Lectures 35:25

- How to create Date formats

- Basic Date operations using POSIXlt

Date Operations
06:53

Understand how to treat missing values and random numbers

Missing Values and Random Numbers
08:32

- Use of Packages in R

- Loading and Installing a package

- Reading Excel file through xlsx package function

Data Handling Part 1 : Introducing packages and Import functionality
13:58

- Learn how to write Excel and Csv file to your system

- Playing with the Text file

Please Download the attached Text file ; which you have to use for Text data import

Data Handling Part 2 : Exporting files
06:02
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Advanced user
5 Lectures 38:35

- Learn how to do Sql like Joins in R

Data Merging : Get your data at one place
08:45

- Performing Logical operations and If conditional in R

Logical Operations and If Conditional in R
11:55

Writing basic functions using "Function" command in R

Writing Conditional Statements in R
06:52

Nested Conditional Statements

Conditional Statements (Contd)
05:13

Learn how to write UDFs in R

UDFs
05:50
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Implement what you have learned
1 Lecture 00:00

Please download the attached "Practice.Xlsx file" to solve this case study.

Section Task : Practice case study
1 page
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Text Analytics Project : Creating Wordcloud on Tweets Archive
2 Lectures 42:55

Objective : To Build a wordcloud on Tweets Archive.

Data Required : Tweet Archive ( R data) ; please download the attached data

Packages Required : Install the Packages that are mentioned in the "List of packages.txt"

Please download the attached material

Terms and Terminologies of Textual Analysis
15:40

-Creating and Cleaning the corpus

Please Download the attached pdf file to learn in depth about the Text Mining in R

Project Phase 1 : Creating and Cleaning the corpus
27:15
About the Instructor
ATI - Analytics Training Institute
4.0 Average rating
222 Reviews
8,852 Students
13 Courses
Committed to creating a difference

We are an Analytics firm committed to developing intellectual property that will help individuals and their organisation take smarter decisions every day. ATI, the education arm of Redwood Associates has helped 200 companies and over 15000 individuals speak the language of DATA

The founder Gautam Munshi has nearly two decades of high performance analytics experience. His strong belief that anyone can become an analyst has led him to build a team of 12 - a group of math geeks, techies, musicians, comedians, beer enthusiasts, agriculturists, geneticists, teachers and bankers,who have the gumption that they can make a difference and truly believe that analytics can influence and make a huge impact on a day-day basis. It is this diverse lot that brings Analytics to the mind space of every individual. You can view their moments in the lime light here and follow them on Facebook