Analytics With R

Data Analytics with R course by IIHT Surat is designed to help learners master data analysis by deploying various techniques, and algorithms by understanding and applying these features in real-time scenarios.

Upon completing Analytics with R course from IIHT Surat, Learners will be able to analyze data and find relative patterns to predict outcomes on a variety of data sets.

Learners also pick up the skills to analyze continuous data in various scenarios by obtaining the right set of text and applying required analytics. Analytics with R is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Emerging from the need to analyse and leverage large volumes of data more effectively, enterprises are turning to data science and data scientists to explore the potential of Big Data. While traditionally data is gathered from a single source, data science takes it a step further, analyzing data across multiple sources and platforms to gain insight into how an enterprise can enhance their business model.

Moreover, data science enables enterprise to have a fresh perspective on data trends that might not be immediately obvious. Data science is set to dominate every industry, from retail to healthcare, finance, and the public sector. With Data science teams playing a critical role in business strategies today, enterprises can now make informed decisions that better their operational efficiency.

Learning Outcomes:

• Over 45 hours of Analytics with R Training.
• Student based Analytics with R Training Schedule.
• Detailed practical Analytics with R Training starting from basics to advanced Python techniques.
• Suitable for beginners to advanced level users and who learn faster when demonstrated.
• Course content is designed by industry experts and based on Current Industry Standards.
• Practical assignments at the end of every session.
• The practical learning experience with live project work and examples.

Curriculum:

• Module 1 History and Overview of R
• What is R?
• What is S?
• Basic Features of R
• Design of the R System
• Limitations of R
• R Resources
• Module 2 Getting Started with R
• Getting started with the R Interface
• Installation of R CRAN
• Installation of Rtools4.0
• Installation of RStudio (IDE)
• Module 3 R Fundamental
• R Script File Basic Syntax
• Syntax Of R cmd And R Script File
• R Data Types
• R Variables
• R Data Types
• Rules followed to name a variable
• Ways to assign a value to R Variable
• R Operators
• R Arithmetic Operators, R Relational Operators, R Logical Operators, R Assignment Operators, R Miscellaneous Operators with example R scripts
• Module 4 R Decision Making
• R if
• R if-else
• R else-if
• R switch
• Module 5 R Loops
• R repeat loop
• R while loop
• R for loop
• R break statement
• Module 6 R functions
• Built-in R functions
• User defined R functions
• And more.