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

R: Learn to Program in R & Use R for Effective Data Analysis, available at $19.99, has an average rating of 3.6, with 27 lectures, based on 45 reviews, and has 543 subscribers.

You will learn about In this course,you will learn to implement Data Manipulation , Data management and Textual Analytics Basics through R This course is ideal for individuals who are Who likes to Analyze data and learn latest tool and Techniques or Who likes to do learn about Text Analytics or Who wants to make Data Analysis task looks too easy or Who wants to build his carrier in Analytics domain It is particularly useful for Who likes to Analyze data and learn latest tool and Techniques or Who likes to do learn about Text Analytics or Who wants to make Data Analysis task looks too easy or Who wants to build his carrier in Analytics domain .

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

Summary

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

Price: $19.99

Average Rating: 3.6

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: ₹1,199

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: R Getting Started

Lecture 1: The R-Handbook : For the Frequent travelers

Lecture 2: Introduction to R

Lecture 3: Installing R and R Studio

Lecture 4: Getting to know R Studio

Chapter 2: Under the hood

Lecture 1: Working Directory Concept

Lecture 2: Data types: Your raw ingredients

Lecture 3: Basic Operations in R

Lecture 4: Basic Operations in R (Contd)

Lecture 5: Basic Operations in R (Contd)

Lecture 6: Data structure – Vectors

Lecture 7: Set Operations with Vectors

Lecture 8: Data structure – Dataframe

Lecture 9: Dataframes (Contd)

Lecture 10: Data structures – List and Matrix

Lecture 11: Factors : Last data type

Chapter 3: Data management

Lecture 1: Date Operations

Lecture 2: Missing Values and Random Numbers

Lecture 3: Data Handling Part 1 : Introducing packages and Import functionality

Lecture 4: Data Handling Part 2 : Exporting files

Chapter 4: Advanced user

Lecture 1: Data Merging : Get your data at one place

Lecture 2: Logical Operations and If Conditional in R

Lecture 3: Writing Conditional Statements in R

Lecture 4: Conditional Statements (Contd)

Lecture 5: UDFs

Chapter 5: Implement what you have learned

Lecture 1: Section Task : Practice case study

Chapter 6: Text Analytics Project : Creating Wordcloud on Tweets Archive

Lecture 1: Terms and Terminologies of Textual Analysis

Lecture 2: Project Phase 1 : Creating and Cleaning the corpus

Instructors

ATI – Analytics Training Institute
Committed to creating a difference

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 9 votes
4 stars: 19 votes
5 stars: 12 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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