15 Online Courses for All Levels to Learn about R
In this article, you can find R online courses.
R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners and statisticians for data analysis and developing statistical software. Users have created packages to augment the functions of the R language.
According to user surveys and studies of scholarly literature databases, R is one of the most commonly used programming language used in data mining. As of March 2022, R ranks 11th in the TIOBE index, a measure of programming language popularity.
The official R software environment is an open-source free software environment within the GNU package, available under the GNU General Public License. It is written primarily in C, Fortran, and R itself (partially self-hosting). Precompiled executables are provided for various operating systems. R has a command line interface. Multiple third-party graphical user interfaces are also available, such as RStudio, an integrated development environment, and Jupyter, a notebook interface.
Below we present 15 R courses for everyone who wished to expand their knowledge
Data Analysis and Statistical Modeling in R
Jazeb Akram via Udemy
Before applying any data science model its always a good practice to understand the true nature of your data. In this Course we will cover fundamentals and applications of statistical modelling. We will use R Programming Language to run this analysis. We will start with Math, Data Distribution and statistical concepts then by using plots and charts we will interpret our data. We will use statistical modelling to prove our claims and use hypothesis testing to confidently make inferences.
★★★★★(5-star rating)
Statistics for Data Analysis Using R
Sandeep Kumar via Udemy
Perform simple or complex statistical calculations using R Programming! – You don’t need to be a programmer for this. Learn statistics, and apply these concepts in your workplace using R. The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concepts. Various examples and data–sets are used to explain the application. I will explain the basic theory first, and then I will show you how to use R to perform these calculations.Following areas of statistics are covered: Descriptive Statistics – Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation. (Using base R function and the psych package), Data Visualization – 3 commonly used charts: Histogram, Box and Whisker Plot and Scatter Plot (using base R commands) and much more.
★★★★★(5-star rating)
R Level 1 – Data Analytics with R
R-Tutorials Training via Udemy
This Tutorial is the first step – your Level 1 – to R mastery. All the important aspects of statistical programming ranging from handling different data types to loops and functions, even graphs are covered. While planing this course I used the Pareto 80/20 principle. I filtered for the most useful items in the R language which will give you a quick and efficient learning experience. Learning R will help you conduct your projects. On the long run it is an invaluable skill which will enhance your career. Your journey will start with the theoretical background of object and data types. You will then learn how to handle the most common types of objects in R. Much emphasis is put on loops in R since this is a crucial part of statistical programming. It is also shown how the apply family of functions can be used for looping.
★★★★★(5-star rating)
Survival Analysis in R
R-Tutorials Training via Udemy
Survival Analysis is a sub discipline of statistics. It actually has several names. In some fields it is called event–time analysis, reliability analysis or duration analysis. R is one of the main tools to perform this sort of analysis thanks to the survival package. In this course you will learn how to use R to perform survival analysis. To check out the course content it is recommended to take a look at the course curriculum. There are also videos available for free preview.
★★★★★(5-star rating)
R Programming for Beginners
Uplatz Training via Udemy
R is a programming language regularly used for arithmetical computing and graphical demonstration to examine and visualize data. R is a software environment which is used to analyze numerical data and graphical representation. R lets us to do sectional programming using functions. R programming language was named R, founded on the first name letter of the two authors – Robert Gentleman and Ross Ihaka. An overall understanding of R should cover topics such as introduction, features, installation, RStudio ide, variables, datatypes, operators, if statement, vector, data handing, graphics, statistical modelling, etc. R not only allows us to do branching and looping but also allows to do modular programming using functions. R allows integration with the procedures written in the C, C++, .NET, Python, and FORTRAN languages to improve efficiency.
★★★★★(5-star rating)
Atlassian Confluence : Master Confluence Cloud As Beginner
Malay Biswal via Udemy
No one can deny that “Atlassian Confluence is the most used documentation tool along with JIRA, in the current time.” That’s why it’s worth learning the basics of confluence and then explore more confluence features based on need.Understanding the basics is always the first and critical steps for mastering anything. In this confluence course, we are taking the same approach. We will start right from level zero and take off through all the necessary core concepts to make you a pro–user of Confluence cloud. If you are new to confluence or aspiring to take your confluence skills to next level, this course will provide you with all the needed details.
★★★★★(5-star rating)
Julia’s for Beginners (Programming Language)
ProgLang MainSt. via Udemy
The focus of this course is the basic syntax of Julia. It’s ideal for someone who wants to learn how to do all the basic things quickly and easily. This could be someone entirely new to coding or someone coming in from another language (in which case you can speed up the video, as all this stuff is very easy). The popular online IDE replit is used in this course. It’s an excellent learning tool. That means zero setup time! You can start coding right away, just by signing up for free and creating a project file known as a repl, without the hassle of spending time installing Julia on your machine. A link to the repl I’m working on in each video is linked in the resources.
★★★★★(5-star rating)
Svelte with Test Driven Development
Basar Buyukkahraman via Udemy
The frontend world is having very popular frameworks which are heavily used in most of the applications. Svelte is joining this competition by bringing lots of cool, developer friendly features. After practicing svelte, it will be hard to go back and work with other frameworks. You will be amazed when you see how much you can do with less code. In this course we will be learning Svelte by creating a web application with it. Also we will apply test driven development (TDD) methodology from beginning to the end.
★★★★★(5-star rating)
WordPress and the Divi Theme: Create your first website
Sol Barrera Watters via Udemy
In this course you will learn, in easy steps to follow, how to create and build your first website with WordPress and the Divi Theme. You will follow a design in Figma and use the Divi theme and page builder to build an about page, a contact page and the homepage. We’ll go through how to setup your site online after its built so you can share it with friends and family.
★★★★★(5-star rating)
Creating a Modular Kitbash in Blender
3D Tudor via Udemy
Would you like to learn how to model an entire medieval castle? Now, what if I told you I have a course to do just that on Udemy? ‘Blender 2.9 Creating a Medieval Kitbash’ will see you creating a super varied group of interlinkable assets. The biggest set of variations are available for roofs, castle towers, and related fixings. There’s nothing like this course on Udemy.‘Blender 2.9 Creating a Medieval Castle Kitbash’ will give you access to 24 full hours of 3D asset creation. It will teach you the very basics of Blender 2.9, moving on to professional techniques in a short time of accelerated learning. And that’s not all. The course will be even longer than that because we still have to build the castle. As a result, this will certainly be my biggest course yet, scoring at over 30 hours of learning.
★★★★★(5-star rating)
Toxic Question Classification using BERT and Tensorflow 2.4
Evergreen Technologies via Udemy
Learning the fundamentals of text classification h puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, have excellent documentation. Text classification is a fundamental task in natural language processing (NLP) world. No prior knowledge of word embedding or BERT is assumed. I’ll be covering topics like Word Embeddings, BERT, and Glove from scratch. Jobs in the NLP area are plentiful, and being able to learn text classification with BERT will give you a strong edge. BERT is state of art language model and surpasses all prior techniques in natural language processing.
★★★★★(5-star rating)
The Complete Deep Learning Course 2022 With 7+ Real Projects
Hoang Quy La via Udemy
This course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!
★★★★★(5-star rating)
Efficient R Programming with the Tidyverse
Adam Hayward via Udemy
Take your R programming skills to the next level with this short course on the tidyverse! Do you feel you have a basic knowledge of R but don’t yet have the tools or confidence to tackle everyday data science problems? Still turning to MS Excel to manipulate, format and visualise data? Then look no further. Aimed at beginners who have a basic understanding of R, this course introduces some of the core tools of the tidyverse. It covers a step–by–step guide to the most important functions offered by some of the tidyverse packages, providing students with a comprehensive toolkit to address common data science tasks.
★★★★★(5-star rating)
Introduction to R Programming – A Modern Approach
Robert Jeutong via Udemy
Are you nervous or excited about learning how to code? Are you a beginner who wants to get better at learning R the right way? Would you like to learn how to make cool looking and insightful charts? If so, you are in the right place. Learning how to code in R is an excellent way to start. R is one of the top languages used by data scientists, data analysts, statisticians, etc. The best thing about it is its simplicity. R was introduced to me in the summer of 2008 as an intern at a marketing firm; since then, I have been a loyal user. Along with SAS, I use it daily to conduct data analysis and reporting. R is one of my top go–to tools. I start with the basics showing you how I learned it, and then I teach it at a pace comfortable for a beginner.
★★★★★(5-star rating)
Exploratory Data Analysis with R
Packt Publishing via Udemy
In this course, you will learn how EDA helps you draw conclusions to make better sense of your data and implement correct techniques. We’ll begin with a brief introduction to EDA, its importance, and advantages over BI tools. Using R libraries like dplyr and ggplot2, we will generate insights and formulate relevant questions for investigation and communicate the results effectively using visualizations. You will learn how to spot missing data and errors, validate assumptions, and identify the patterns for understanding the problem. Based on this, you’ll be able to select a correct ML model to use for your data.
★★★★★(5-star rating)
