# Analyze Data with R by Codecademy

In Analyze Data with R course, you will learn the basics of R language, learn how to make stunning visualizations and conduct statistical analysis.

## About Analyze Data with R course

R is a programming language built by data scientists for data scientists. In this course on Analyze Data with R by Codecademy, you will learn the basics of this popular language, the R programming language, to get the most out of your data. Also, you will be able to learn how to make stunning visualizations and conduct statistical analysis.

R is a language and environment for statistical computing and graphics, developed at Bell Laboratories by John Chambers and colleagues. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques. It is highly extensible and provides an Open Source route to participation activity.

One of R programming’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. R is an integrated suite of software facilities for data manipulation, calculation, and graphical display.

## What will you learn from this course?

• ### What Is R?

In the analyze data with R course, you will get familiar with R programming, its strengths, and tools.

• ### Introduction To R programming

You will gain familiarity with basic data structures and essential coding concepts like control flow, loops, and R programming functions.

• ### Statistics In R

You will learn how to calculate different descriptive statistics using R. Then, use your new understanding of statistics to begin making hypotheses.

• ### Working With Data In R

Get your hands on to analyze data with R, which includes data frames in R, and learn how to clean, reshape, and investigate various data sets!

• ### Data Visualization In R

You will learn how to create a variety of visualizations in R using the library ggplot2.

• ### Introduction To Machine Learning In R

You will dip your toes into the world of machine learning in R by learning how to build and interpret linear regression models.

• ### Analyze Data With R Capstone Project

You’re almost there! Now it’s time to create one final project using everything you’ve learned.

## What will you be able to do?

Here are just a few things you will be able to do with this skill:

• THINK LIKE A PROGRAMMER, and also, you will learn fundamental programming skills in R programming that can be transferred to many other languages.
• EXPLORE R LIBRARIES- From popular libraries like ggplot2 to obscure ones like gtrendsR, you will gain the confidence to find and use various R libraries.
• CREATE A DATA REPORT, and also, you will emulate the work of a real data scientist by creating professional reports on your findings.

## For whom is Analyze Data with R course?

This course is for those who want to create a data report, visualize data, and learn the basics of R programming.

• Get a step-by-step ROADMAP and skill Paths, and career paths guide you through where to start and what to learn next to reach your goal.
• You will be able to create REAL-WORLD PROJECTS.
• GET SUPPORT FROM THE COMMUNITY. Rally together with other Pro members to collaborate, share resources, stay accountable, and more.

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

## About Analyze Data with R course

R is a programming language built by data scientists for data scientists. In this course on Analyze Data with R by Codecademy, you will learn the basics of this popular language, the R programming language, to get the most out of your data. Also, you will be able to learn how to make stunning visualizations and conduct statistical analysis.

R is a language and environment for statistical computing and graphics, developed at Bell Laboratories by John Chambers and colleagues. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques. It is highly extensible and provides an Open Source route to participation activity.

One of R programming’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. R is an integrated suite of software facilities for data manipulation, calculation, and graphical display.

## What will you learn from this course?

• ### What Is R?

In the analyze data with R course, you will get familiar with R programming, its strengths, and tools.

• ### Introduction To R programming

You will gain familiarity with basic data structures and essential coding concepts like control flow, loops, and R programming functions.

• ### Statistics In R

You will learn how to calculate different descriptive statistics using R. Then, use your new understanding of statistics to begin making hypotheses.

• ### Working With Data In R

Get your hands on to analyze data with R, which includes data frames in R, and learn how to clean, reshape, and investigate various data sets!

• ### Data Visualization In R

You will learn how to create a variety of visualizations in R using the library ggplot2.

• ### Introduction To Machine Learning In R

You will dip your toes into the world of machine learning in R by learning how to build and interpret linear regression models.

• ### Analyze Data With R Capstone Project

You’re almost there! Now it’s time to create one final project using everything you’ve learned.

## What will you be able to do?

Here are just a few things you will be able to do with this skill:

• THINK LIKE A PROGRAMMER, and also, you will learn fundamental programming skills in R programming that can be transferred to many other languages.
• EXPLORE R LIBRARIES- From popular libraries like ggplot2 to obscure ones like gtrendsR, you will gain the confidence to find and use various R libraries.
• CREATE A DATA REPORT, and also, you will emulate the work of a real data scientist by creating professional reports on your findings.

## For whom is Analyze Data with R course?

This course is for those who want to create a data report, visualize data, and learn the basics of R programming.

• Get a step-by-step ROADMAP and skill Paths, and career paths guide you through where to start and what to learn next to reach your goal.
• You will be able to create REAL-WORLD PROJECTS.
• GET SUPPORT FROM THE COMMUNITY. Rally together with other Pro members to collaborate, share resources, stay accountable, and more.

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

## Specification:

• Online Course
• Self-paced
• Beginner
• 3+ Months
• Paid Course (Paid certificate)
• English
• R
• None Pre-requisite
• Data Cleaning Data Science Data Science with 'R' Data Visualization Practical Statistics Regression Analysis

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