bestcourses is supported by learners. When you buy through links on our website, we may earn an affiliate commission. Learn more

Basics of R Software for Data Science

Descriptive Statistics using R Software

4.75 / 5.0
1278 students4 hours 30 minutes

Created by Rasineni Madana Mohana, offered on Udemy

bestcourses score™

Student feedback

5.7/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 1278 students which left 93 reviews at an average rating of 4.75, which is average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 4 hours 30 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

6.3/10

This course currently has a bestcourses score of 6.3/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

Description

  • R is an open source software - a well organized and sophisticated package - that facilitates data analysis, modelling, inferential testing and forecasting. It is a user friendly software which allows to create new function commands to solve statistical problems. It runs on a variety of UNIX platforms (and similar systems such as LINUX), Windows and Mac OS.

  • R is the most preferred open-source language for analytics and data science. At Microsoft, R is used by its data scientists, who apply machine learning to data from Bing, Azure, Office, and the Sales, Marketing, and Finance departments. Twitter has been using R for measuring user-experience. On the other hand, the cross-platform compatibility of R and its capacity to handle large and complex data sets make it an ideal tool for academicians to analyze data in their labs.

  • R can be used for simple calculations, matrix calculations, differential equations, optimisation, statistical analysis, plotting graphs, etc. Also, it is useful to anybody who wishes to undertake extensive statistical computations and data visualization.

  • Any data analysis is incomplete without statistics. After getting the data, any statistical analysis starts with descriptive statistics which aims to extract the information hidden inside the data. The tools of descriptive statistics are based on mathematical and statistical functions which are to be evaluated using the software. The statistical software are paid as well as free. Most of the statistical software are paid software. A popular free statistical software is R.

  • What are the basic tools of descriptive statistics and how to use the R software for descriptive statistical analysis is the objective of the course to be taught.

What you will learn

  • Understand the Basic Fundamentals, Installation and use of R software.
  • Use of R as a calculator and Functions.
  • Working with Data Frames.
  • Descriptive Statistics-Primary tools which gives first hand information.
  • Graphical tools-various types of plots.
  • Graphical as well as analytical tools.

Requirements

  • Mathematics background up to class 12 is needed.
  • Some minor statistics background is desirable.
Udemy logo
Available on

Udemy

With almost 200,000 courses and close to 50 million students, Udemy is one of the most visited online learning platforms. Popular topics include software development, the digital economy, but also more traditional topics like cooking and music.

Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 4 hours 30 minutes
Basics of R Software for Data Science thumbnail

bestcourses score: 6.3/10

There might be better courses available for this topic.