Duration: 40 hrs
Fee: 15,000 INR
R is a free software programming language and a software environment for statistical computing and graphic. R provides a wide variety of statistical including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, ... and graphical techniques, and is highly extensible.
To discuss any of these capabilities further, please contact us.
Syllabus Content:
Introduction to R
- What is R?
- Installation and using R console
- R vs SAS
- Data types in R
- Data structures in R
- Packages in R
- Working with files
- Understand how R works
- Learn most often used R syntax
- Handling of large datasets
- Importing and exporting csv, excel and sas files
Text analytics
- Tokenizing
- Parts of speech tagging
- Transforming text
- Stemming
- Building a Document-Term Matrix
- Word Cloud
- What is text analytics
- Industry applications
- Techniques employed in text analysis
- Hands on project to conduct sentiment analysis
Machine learning
- Introduction to machine learning
- Types of learning models - Decision tree learning
- Overview of an ML framework
- How to build an automated system
- Hands on project to build an automatic classifier
Visualization
- Types of data visualization
- Graphics capability of R
- Generate graphics using ggplot2 package
- Advanced charting using the googleVis package
- Choosing the right visualization
- Understand how R creates graphics
- Hands on project to build an advanced dashboard.