Data Science with R Programming: Master R Programming

Data Science with R Programming: Master R Programming

Are you wondering how R is so important in the Data Science industry? Which makes it so overriding? Well! It has a salient feature that this is the easiest programming language in this domain. If you are the one who ever used mathematical tricks, basic programming symbols & logic, and if you ever understood the basics of statistics this is the perfect platform to ride on. Here you will learn from experts the tips and tricks of R in the easiest manner.

This is a well-versed course where you will learn how to program in R and use R for efficient data Science. this course starts from the basic understandings of R, objectives, usings, benefits, and Support of R. R Programming - Master course tells you how to install and configure software necessary for a statistical programming environment. It also describes generic programming language concepts which execute in a high-level statistical language. At this platform, one can also explore Data Manipulation & Data Analysis, Data-Cleaning for Data Science. This stage tells about the relationship between the data and Statistics essentials. Here experts teach how it works as Foundation of Data Analytics OF R.

The course majorly covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples. Multiple case studies make you an expert in R, after regular practising.

Master R Programming - Data Science

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What you will learn

• This course is designed in such a way, one can understand visualization, Dealing with Vector, Matrices and how to select and use Raw data.
• At this platform one can explore Data Manipulation and Data Analysis. This tells about relationship between the data and Statistics essentials..
• This Course also help you to understand installation, elements and more importantly coding in Data science along with Correlation and Regression.

Rating: 4.5

Level: Expert Level

Duration: 9.5 hours

Instructor: Sudhanshu Saxena