Data Science with R Training in Coimbatore

WHY LEARNING DATA SCIENCE WITH R?

Here are a few reasons why learning R is a must for a data scientist:

• It is the standard tool for performing data analysis and statistical operations.
• R has strong data visualization It can make production quality graphics, which makes presenting data in an easy to understand way possible.
• R makes data gathering processes like web scraping very easy.
• It is platform-independent, which means it can be used across all operating systems.
• Several industries like health, finance, banking, e-commerce, manufacturing, and much more use R as their primary tool for data modeling.
• It integrates seamlessly with other technologies like Hadoop, which makes an ideal combination for large scale data processing.
• R can be used for data analysis, statistical analysis, as well as machine learning.

Some Unique Features of R Programming

Due to a large number of packages available, there are many other handy features as well:

• Since R can perform operations directly on vectors, it doesn’t require too much looping.
• R can pull data from APIs, servers, SPSS files, and many other formats.
• R is useful for web scraping.
• It can perform multiple complex mathematical operations with a single command.
• Using R Markdown, it can create attractive reports that combine plain text with code and visualizations of the results.
• Due to a large number of researchers and statisticians using it, new ideas and technologies often appear in the R community first.

COMPANIES USING R:

Here are some big names and industry sectors that are already using it:

• Social media companies like Facebook and Twitter use R for behavior analysis of their users, to analyze trends, and to improve online marketing strategies.
• E-commerce companies like Amazon use R to identify potential customers, to judge the effectiveness of their advertising campaigns, and to analyze customer feedback and sentiment.
• Banking and finance firms use it for risk assessment, fraud detection, to predict stock market trends, and to assist in the business decision-making process.
• Uber and other transportation companies use it to improve their pathfinding and navigation algorithms.
• Airbnb uses R to improve their listings and to isolate factors resulting in better ratings and business.
• Search engines such as Google use it to improve their search results.
• R is also used in the bioinformatics sector to analyze genetic sequences and to assist in pharmaceutical research.
• R is a statistical analysis tool. It was created as a research aid and is still used for academic and statistical research.
• Ford motors use R along with Hadoop to analyze customer feedback and also to analyze social media to find user opinions that may help them in improving their products and also to predict market hikes and demands.