Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge.
Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge. There are several tools and programming languages that are used in this process, and R is one such effective and required programming language for this purpose.
Data Science R Training is one such training program that will help you to learn R Programming for Data Science from basic to advance level.
This training program will let you learn how to use variables, matrix, functions and other models of R programming required for Data Science. At advance level, you learn to use R programming language in collaboration of Machine learning algorithm for Data Science.
Prerequisites
This course has no specific prerequisites.
Fundamental knowledge in any high-level programming language (preferably R) is ideal but not required.
Basic knowledge of statistics would be considered as an added advantage.
Basic knowledge of computer hardware and software is ideal but not required.
What will you gain after this course
Through this course, you can stay on top of others in the talent race.
You will be recognized as a professional Data Scientist.
You will be recognized as an R Programmer, as well.
With the help of this course, you will be recognized as a Business intelligence (BI) expert.
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At London IT Training, we offer career focused professional certification training that helps the students to achieve the real working experience. Our training is focused specifically on hands on practical approach.
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R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
It covers the most essential topics you must learn to begin programming with R. With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics.
Data analysis is crucial to accurately predict the performance of an application. The course begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins.
This R Programming course aims to give delegates the knowledge to use effective programming principles and to write code in R. R is a powerful statistical language.
This course is aimed at those who want to incorporate R into their data analysis and business intelligence, particularly to replace existing Excel-based workflows.
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