In this course series, applications developed using R language are discussed. All the applications discussed in the course have been developed through research by me. All the products discussed are being used for different organizational operations in my company and/or by our customers.

The course starts with discussing simple applications through which concepts and applications of supporting tools including R language features. Tools like knit R, Shiny, etc are discussed.

Though this course provides a primer on R Programming, it is highly desirable that the learner has reasonably good exposure to R programming. The learner is expected to have installed tools using which R programming could be conducted. In case, the learner needs help with getting started with R programming, they could go through the course "learning R through an example".

The course is broken into 3 parts. In each part 1 or more main application is discussed. In this part, i.e. Part 1, emotion analysis is the topic of discussion. The discussion on emotion analysis starts with understanding sentiment analysis and then proceeds to emotion analysis. The needed concepts of sentiment analysis and emotion analysis are discussed. The different libraries available in the R language is exposed. The course ends with developing a data product for emotion analysis.

What will you learn in this course?

• You will learn to create simple applications like creating word clouds to complex applications like emotion analysis, churn management, stock market prediction, etc
• You will learn to develop a concept into an algorithm and end with developing a data product that could be released for consumption in the market
• You will learn how to publish the data products so that it could be available to everyone on the internet