R language Introduction
The R language is one of the leading languages in data science technology and is the preferred language among data scientists.
1. R Programming A-Z™: R For Data Science With Real Exercises! by Udemy
This course was created by Ligency Team and Kiril Eremenko. This is the best R language course on Udemy. You will learn programming in R and R studios. You will also get familiarized with topics like Data analytics, Packages, Functions, Data Science, and GGPlot2. Over 242,293 students are a part of this course. This course was last updated in October.
Topics Covered in this Course
- R language
- Principles of Programming
- Variables.
Why this course?
You will learn the following things with this course:
- You will learn how to construct variables
- You will learn how to design a while() loop and a for() loop in R
- You will learn the matrix() function, learn cbind() and rbind().
- You will learn how to personalize R studio to fit your requirements.
Who is this course for?
It is for people wanting to learn programming in the R language.
Course Rating
This course has a rating of 4.6 from 48,182 learners.
Duration
This course has 8 sections, 79 lectures and a duration of 10 hours and 36 minutes.
2. R Programming Fundamentals by edx
This free R programming is brought to you by Standford online, and you can find this course on the edx website. From the instructor Susan Holmes, professor of Statistics at Stanford University, you will learn the fundaments of R, from installation to statistical functions.
Topics Covered in this Course:
R programming and its concepts.
Why this course?
You will learn the following things with this course:
- You will learn to use R language to manipulate key objects.
- You will learn about matrices, data frames, and lists.
- You will be introduced to gglpot 2 and how you can use it to plot your data.
- You will learn to preprocess and manipulate data
- You will learn to work with missing values.
Who is this course for?
It is an introductory course on R language, so beginners will benefit from taking this course.
Duration
You can complete this course in 6 weeks with a recommended pace of 2-3 hours per week.
3. R Programming: Advanced Analytics In R For Data Science by Udemy
This is another course that Ligency Team and Kiril Eremenko created. This is an advanced-level course which covers additional topics related to R programming and R studious. Over 57,399 students are a part of this course. This course was last updated in October.
Topics Covered in this Course
- Advanced topics of R language and studios
Why this course?
You will learn the following things with this course:
- You will learn to use sapply() and lapply() when working with vectors and lists.
- You will learn to locate your data within your data frames.
- You will learn to use, modify, sunset, and access lists in R.
- You will learn why how you can reset the dataframe index.
Who is this course for?
It is for people who have prior experience in R language and like to learn its advanced concepts.
Course Rating
This course has a rating of 4.6 from 8,153 learners.
Duration
This course has 5 sections, 54 lectures and a duration of 5 hours and 59 minutes.
4. R Programming – R Language for Absolute Beginners by Udemy
This course is created by Ivo Bernardo. It is a beginner’s course for R, and if you have no statistics or coding experience, this one is for you. Over 6,957 students are a part of this course. This course was last updated in September.
Topics Covered in this Course
- R programming ad its basic concepts
Why this course?
You will learn the following things with this course:
- You will learn to sort and aggregate data.
- You will learn to install R and R studios.
- You will learn to manipulate Arrays, Matrixes, and R Vectors.
- You will learn about creating custom functions in R.
Who is this course for?
It is for people who are inexperienced in the R language. It is also beneficial for researchers, Data engineers, Data Analysts, Financial managers, and statisticians.
Course Rating
This course has a rating of 4.6 from 1,236 learners.
Duration
This course has 19 sections, 110 lectures and a duration of 10 hours and 37 minutes.
5. R programming in one hour – a crash course for beginners on Youtube (Channel: R Programming 101)
This R programming course can be found on the channel R Programming 101 on Youtube. In this short one-hour course, you will be taught R programming and other concepts like creating tables, interpreting your data, and more.
Topic Covered in this Course:
R programming and data analysis
Why this course?
You will learn the following things with this course:
- You will learn to perform ANOVA, chi-squared tests, linear regression models, and t-tests.
- You will learn to use ggplot to visualize your data.
- You will learn about p-values and hypothesis testing.
- You will learn to manipulate and clean your data.
Who is this course for?
This is for researchers and data scientists who wish to learn about statistical analysis or some form of quantitative analysis.
Duration
This course has a duration of just under an hour. So, why watch hour-long episodes on Netflix when you can learn the R language in the same timeframe!!
6. Applied Statistical Modeling for Data Analysis in R by Udemy
This course was created by Minerva Singh. You can enroll in this course if you wish to learn data visualization and analysis with R language. Over 10,058 students are a part of this course. This course was last updated in October.
Topics Covered in this Course
- R programming
- Data visualization & Data analysis
Why this course?
You will learn the following things with this course:
- You will learn to implement various statistical analysis in R and study the result.
- You will learn to implement advanced multivariate analysis and regression analysis.
- You will learn to implement linear modelling techniques like GLMs ad multiple regression.
- You will learn about formalized hypothesis testing and how to conduct it.
Who is this course for?
It is for people who wish to learn the R language for the purpose of data analysis and to carry out experimental and observational studies.
Course Rating
This course has a rating of 4.3 from 1,493 learners.
Duration
This course has 9 sections, 72 lectures and a duration of 9 hours and 49 minutes.
7. Complete Machine Learning with R Studio by Udemy
This course is created by Start-tec Academy. You will learn to use models like Logistic and linear regression, XGBoost, Decision trees and other ML models in R studios. Over 254,732 students are a part of this course. This course was last updated in August.
Topics Covered in this Course
- R language and R studios
- Machine learning models; basic and advanced
- Statistics
Why this course?
You will learn the following things with this course:
- You will learn about machine learning models like KNN, linear, and logistic regression.
- You will learn data preprocessing and data collection.
- You will learn to do standard statistical operations along with Ml models in R.
- You will learn about advanced ML models like SCM, decision trees, Random Forest, SVM, and more.
Who is this course for?
It is for people who wish to choose data science as a career option. It is also for statisticians who wish to gain more practical experience in the R language.
Course Rating
This course has a rating of 4.6 from 2.220 learners.
Duration
This course has 22 sections, 112 lectures and a duration of 11 hours and 59 minutes.
Summary
So, these were some best R language courses online. R is used for performing complex statistical calculations and computations. So, if you are, or hoping to be, a data scientist or a business leader, R language is the one. So, you can pick any course on this list and start learning the R language.
