## How do I learn r blog?

## How do I learn r blog?

Table of Contents

Introductory R courses:

- Introduction to R (15 Hours of video)
- Applied Data Science with R (11 Hours of video)
- R Level 1 – Data Analytics with R (6 Hours of video)
- Learn R Programming from Scratch (2 Hours of video)
- Statistics in R – The R Language for Statistical Analysis (3 Hours of video)

### How long is Introduction to statistical learning?

It took me 2 days to finish all chapters, without exercise. To read through the chapters, it’s much more enjoyable than reading other math/stat books, since the ideas behind each model or algorithms are very clear even intuitive, a lot of well-made plots make the understanding even easier.

**What is R blogger?**

‘R’ is a language and open-source software used as a standard by statisticians in the development of statistical software. R-Bloggers focuses on tutorials and tips for using R to create effective and efficient applications for use in Business Intelligence and other solutions.

**How do I learn R packages?**

No one starting point will serve all beginners, but here are 6 ways to begin learning R.

- Install , RStudio, and R packages like the tidyverse.
- Spend an hour with A Gentle Introduction to Tidy Statistics In R.
- Start coding using RStudio.
- Publish your work with R Markdown.
- Learn about some power tools for development.

## Can I learn R on my own?

R is one of the most popular languages in 2020 and is widely used in finance, business, and academia. For a complete beginner, it’s possible to learn and start programming in R within a couple of weeks. Here’s how to get started.

### What is an example of statistical learning?

Statistical learning plays a key role in many areas of science, finance and industry. A few examples are already considered in Lesson 1. Some more examples of the learning problems are: Predict whether a patient, hospitalized due to a heart attack, will have a second heart attack.

**What is the goal of statistical learning?**

The main goal of statistical learning theory is to provide a framework for study- ing the problem of inference, that is of gaining knowledge, making predictions, making decisions or constructing models from a set of data.

**What is R programming language?**

R is an open-source programming language that is widely used as a statistical software and data analysis tool. R generally comes with the Command-line interface. R is available across widely used platforms like Windows, Linux, and macOS. Also, the R programming language is the latest cutting-edge tool.

## When was R language developed?

R was first implemented in the early 1990’s by Robert Gentleman and Ross Ihaka, both faculty members at the University of Auckland. Robert and Ross established R as an open source project in 1995. Since 1997, the R project has been managed by the R Core Group. And in February 2000, R 1.0.

### Is R Worth learning 2022?

Yes, ofcourse R programming is worth learning. It is a reservoir of statistical utilities and libraries. It makes mathematical machine learning algorithms easy to learn. It is actually a programming environment and language made specifically for graphical applications and statistical computations.

**Is it better to learn Python or R?**

While both Python and R can accomplish many of the same data tasks, they each have their own unique strengths….Strengths and weaknesses.

Python is better for… | R is better for… |
---|---|

Handling massive amounts of data | Creating graphics and data visualizations |

Building deep learning models | Building statistical models |