Data Analytics Using R Programming Course

Take up this Data Analytics using R programming training and you will explore the technology that will introduce you to basic data analyst jobs. In this training module, you will learn about the programming language termed as ‘R’.

During the course, you will examine the benefits of using this programming language and the fundamental concepts related to it. The training course is designed by experts to let the aspirants gain an understanding of data frames and their use in the programming language "R". Also, the aspirants will discover the options that help in generating visualizations in R.

This Data Analytics using R programming course program is designed by our expert trainers to make you aware of the concepts and techniques used to process the programming language ‘R’.

Our expert trainers will make you understand the module via live training sessions and interactive classroom sessions. Also, you will be given doubt-clearing sessions to widen the doubts and sharpen your skills in the use of this programming language.

A comprehensive learning approach is followed with the candidates to make them acquainted with the techniques and tools through which they can perform their basic level data analytics job well.

What Will You Learn?

• Introduction to analytics
• Introduction to Big Data analytics.
• How to get sources, management of storage, and retrieval of data
• Data Mining with Hadoop and its ecosystem How to use data analytics to help in business decision making and providing innovative ideas in marketing, operations, finance, and as a whole to the management to increase productivity and sales
• Cloud management of Big Data
• How to visualize Big Data with Tableau
• Regression Modelling 
• Hypothesis Testing
• Predictive Analytics
• Machine Learning 
• Deep Learning
• Neural Networks
• Natural Language Processing
• Predictive Modelling 
• R Studio 
• Spark
• Languages like R and Python

Prerequisites:

• An affinity for learning quantitative things.
• The interest in self-improvement with learning.
• An interest in learning statistical concepts.
• A plus would be some experience in programming.
• Freshers with excellent analytical skills can also join.