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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.
4.7 (19 ratings)
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418 students enrolled
Last updated 12/2016
English
$10 $50 80% off
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30-Day Money-Back Guarantee
Includes:
  • 2 hours on-demand video
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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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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
Curriculum For This Course
Expand All 14 Lectures Collapse All 14 Lectures 04:12:23
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R Getting Started
3 Lectures 06:38

- Introduction to R

- Why R is useful

Preview 01:36

- Installing R and R studio

- Introducing R studio

- Refer Attached Installation Guide for help in Installation

Please download the attached material

Preview 05:02
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Under the hood
4 Lectures 28:10

- Why Data Type is important ?

- Implementing Basic Data types in R

Preview 07:33

- Create Excel like Tables in R

Data structures : Dataframe
09:36

- Difference between Dataframe and List

- How to create Matrix in R

Data structure: List and Matrix
08:06

- Using Factors to create class variables

Factors : Last data type
02:55
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Data management
2 Lectures 20:00

- 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
2 Lectures 20:40

- Performing Logical operations and If conditional in R

Logical Operations and If Conditional in R
11:55

- Learn how to do Sql like Joins in R

Data Merging : Get your data at one place
08:45
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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
4.2 Average rating
149 Reviews
8,368 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

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