The Best R Programming Online Courses

Banner Image The Best R Programming Online Courses

Heads up, aspiring data scientists and statisticians!šŸŽ“ Have you been wondering how to dive deeper into the wonderful world of data analysis using R programming? Well, pat yourself on the back because you’re in the right place. In this blog post, we’ll be sharing our top picks for R programming online courses that will add some hardcore skills to your data science toolbox. Whether you’re a newbie dipping your toes into R or looking to advance your expertise, these courses are ready to be your secret sauce.

But wait – there are *so many* tutorials and resources out there, right? It can be downright overwhelming to sift through the avalanche of options. Fear not, for we’ve done the legwork! Our thorough research allowed us to curate this fantastic list, revealing the top R programming courses that focus on the quality of instruction, depth of the curriculum, and real-world applications. So, grab a cup of coffee (or tea, if that’s your thing) and let’s dive into the world of R programming courses that will make you feel like a data wizard in no time!

R Programming Courses – Table of Contents

  1. R Programming A-Zā„¢: R For Data Science With Real Exercises!
  2. R Programming – R Language for Absolute Beginners
  3. Data Science and Machine Learning Bootcamp with R
  4. R Programming: Advanced Analytics In R For Data Science
  5. R Programming for Statistics and Data Science
  6. Data science with R: tidyverse
  7. R Programming for Complete Beginners
  8. R Programming 2023 For Data Science:5 Real World Projects!!

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R Programming A-Zā„¢: R For Data Science With Real Exercises!

Course Preview R Programming A-Zā„¢: R For Data Science With Real Exercises!

Platform:
Udemy

Rating:
4.6 out of 5

If you’re looking to learn R programming, I’ve got a fantastic course for you. Unlike many other courses, this one is designed to be truly step-by-step, ensuring you won’t feel overwhelmed by the steep learning curve that sometimes comes with R. The best part? You’ll learn through live examples and tackle real-life analytical challenges, some of which will be solved together and some as homework exercises.

This course is tailored for everyone, regardless of your programming or statistical background. Throughout the course, you’ll learn how to use R Studio, understand core programming principles, and get familiar with various types in R. You’ll also dive into creating vectors, variables, while() loops, for() loops, and matrices. Plus, you’ll learn how to install packages in R. So, don’t worry – by the end of this course, you’ll be on your way to becoming a skilled R programmer. Can’t wait to see you in class!

Skills you’ll learn in this course:

  1. Using R Studio effectively
  2. Grasping core programming principles
  3. Creating vectors in R
  4. Creating and managing variables
  5. Understanding different data types in R
  6. Implementing while() and for() loops in R
  7. Building and utilizing matrices in R
  8. Installing and managing R packages

R Programming – R Language for Absolute Beginners

Course Preview R Programming - R Language for Absolute Beginners

Platform:
Udemy

Rating:
4.7 out of 5

Looking to learn R programming or make a smooth transition into it as a data/business analyst or data scientist? Look no further! This course is designed as your first step into the R programming world, diving deep into R objects, exploring the R user interface, and playing around with various datasets. Designed with a practical approach, the course will help you read questions and examples and find your way to the answer, building your knowledge on different R objects.

The course offers a mix of introductory slides lectures, code-along lectures, knowledge-testing questions, and practical exercises to help you grasp the concepts. By the end of the course, you’ll be able to analyze your own datasets and understand R vectors, arrays, matrices, and lists to power up your analysis. Some skills you’ll acquire include loading CSV and Excel files into R, creating informative line plots, plotting histograms of numerical data, and crafting your own functions for code reusability. So, join thousands of professionals and students on this R journey and unlock the amazing power of this statistical open-source language. Don’t miss out on the opportunity to level up your data skills!

Skills you’ll learn in this course:

  1. Loading and handling CSV and Excel files in R
  2. Creating and interpreting line plots from data
  3. Plotting and analyzing histograms of numerical data
  4. Developing custom functions for code reusability
  5. Slicing and dicing Data Frames for data subsetting
  6. Understanding R vectors, arrays, matrixes, and lists
  7. Analyzing real-world datasets using R programming
  8. Implementing well-known commands for various R objects

Data Science and Machine Learning Bootcamp with R

Course Preview Data Science and Machine Learning Bootcamp with R

Platform:
Udemy

Rating:
4.7 out of 5

So you’ve heard about this awesome online course that’s focused on data science, right? It’s perfect for both complete beginners with no programming experience and experienced developers looking to jump into data science. What’s really great about this comprehensive course is that it gives you the same quality education you’d get at expensive bootcamps, but without the hefty price tag. Plus, it offers over 100 HD video lectures and detailed code notebooks for every single lecture, making it one of the most extensive courses available on Udemy.

The course covers a broad range of essential topics such as programming with R, advanced R features, using R data frames, web scraping with R, connecting R to SQL, and so much more. For those who love visualizations, it teaches how to create stunning data visualizations using ggplot2 and interactive ones with plotly. You’ll also dive into machine learning with R, where you’ll explore linear regression, K nearest neighbors, K means clustering, decision trees, random forests, neural nets and deep learning, support vector machines and even data mining Twitter. Enroll today to launch your data science career and solve some of the world’s most interesting problems!

Skills you’ll learn in this course:

  1. Programming with R and handling advanced R features.
  2. Solving complex tasks using R Data Frames.
  3. Handling Excel Files with R.
  4. Web scraping and connecting R to SQL.
  5. Creating data visualizations using ggplot2 and plotly.
  6. Implementing Machine Learning techniques like Linear Regression, Decision Trees, and Random Forests.
  7. Conducting Data Mining on Twitter.
  8. Understanding Neural Nets, Deep Learning, and Support Vector Machines.

R Programming: Advanced Analytics In R For Data Science

Course Preview R Programming: Advanced Analytics In R For Data Science

Platform:
Udemy

Rating:
4.6 out of 5

Are you looking to improve your R Programming skills and dive deeper into Data Science and Analytics? This course might just be the perfect fit for you! With professional R video training, unique datasets designed from years of industry experience, and engaging exercises that showcase real-world analytics, you’ll gain a robust set of skills to advance your Data Science career.

This comprehensive course covers various R programming concepts, including data preparation, median imputation methods, working with date-times, lists, and the apply family of functions. Through real-life case studies, you’ll get hands-on experience working on tasks involving financial data analysis, machine utilization in a coal terminal, and weather pattern understanding for a meteorology bureau. So, are you ready to elevate your R programming prowess and make a mark in Data Science? Hop on board and boost your skills with this fabulous course!

Skills you’ll learn in this course:

  1. Preparing data for analysis in R
  2. Performing median imputation method in R
  3. Working with date-times in R
  4. Utilizing Lists in R
  5. Implementing the Apply family of functions
  6. Using apply(), lapply(), and sapply() instead of loops
  7. Nesting custom functions within apply-type functions
  8. Understanding real-world situations through case studies

R Programming for Statistics and Data Science

Course Preview R Programming for Statistics and Data Science

Platform:
Udemy

Rating:
4.6 out of 5

So, you’re thinking about diving into the world of data science, and R Programming for Statistics and Data Science 2023 is just the course to get you started. This comprehensive course is perfect for beginners in programming with R but also works as a great refresher for those familiar with the language. You’ll quickly move from being a complete beginner to confidently tackling data manipulation projects and critically assessing your work.

What sets this course apart? For starters, it offers well-paced learning with content that’s carefully designed to deliver powerful results efficiently. You’ll be introduced to essential programming skills with R, data manipulation, and analysis techniques, as well as mastering the basics of inferential statistics with a step-by-step approach. With a ton of practical exercises and projects, you’ll reinforce your learning and truly hone your skills in R programming. Plus, upon course completion, you’ll receive a verifiable certificate to showcase your new skills on your CV and LinkedIn profile. Sound like the right fit for you? Then hop on board and welcome to R for Statistics and Data Science!

Skills you’ll learn in this course:

  1. R programming basics and hands-on coding experience.
  2. Foundational knowledge in descriptive and inferential statistics.
  3. Confidence intervals, hypothesis testing, regression, and cluster analysis.
  4. Data manipulation and analysis techniques using R.
  5. Proficiency in working with vectors, matrices, data frames, and lists.
  6. Mastery of the Tidyverse package for comprehensive data manipulation.
  7. Creation of meaningful data visualizations and plots.
  8. Reinforcement of learning through practical exercises and projects.

Data science with R: tidyverse

Course Preview Data science with R: tidyverse

Platform:
Udemy

Rating:
4.7 out of 5

Are you seeking a comprehensive online course to enhance your data science skills using R and tidyverse? Look no further! This course has got you covered on applied statistics and data-related tasks, providing a strong foundation in R and its collection of libraries called tidyverse. As one of the most in-demand programming languages for data science and exploration, R paired with tidyverse offers a deadly combination guaranteed to help you finish projects faster and more efficiently.

Course content includes over 25 hours of lecture videos, R scripts and additional data, assignments at the end of each chapter, and assignments walkthrough videos. Topics range from tidy data, data wrangling, importing and parsing data, dealing with strings and categorical variables, data visualization with ggplot2, functional programming with purrr, and a final practical data science project. Enroll today and become a master of R’s tidyverse, all while learning at your own pace through Udemy’s comprehensive and easy-to-understand course material. Happy learning!

Skills you’ll learn in this course:

  1. Tidy data cleaning with tidyverse
  2. Data wrangling using dplyr and tidyr
  3. Importing and parsing data with readr
  4. String manipulation using stringr and Regular Expressions
  5. Handling categorical variables with forcats
  6. Data visualization with ggplot2
  7. Functional programming and map functions using purrr
  8. Managing relational data and understanding tidy evaluation

R Programming for Complete Beginners

Course Preview R Programming for Complete Beginners

Platform:
Udemy

Rating:
4.8 out of 5

If you’re planning to pursue your Master’s or Ph.D., get into the field of Data Science or Data Analytics, or even if you’re a complete beginner in programming and want to learn R, this course is perfect for you! It’s designed to help students facing difficulties in understanding R and researchers who wish to learn this powerful programming language.

The course structure is what sets it apart from the rest. Each lesson consists of a theory video followed by a practical video with demonstrations on RStudio. After every concept, there’s a small quiz and an assignment for you to complete. Plus, at the end of each section, you’ll work on a small project to ensure you’re ready to move on to the next section. And don’t worry ā€“ all solutions are provided so you can compare your code with the instructor’s. With its practical, hands-on approach, this course aims to make learning R a fun and enjoyable journey. Best of luck and happy learning!

Skills you’ll learn in this course:

  1. Master the R programming language and RStudio
  2. Gain core skills in Data Science and Data Analytics
  3. Tackle common challenges and difficulties in understanding R
  4. Apply R to research projects and analysis
  5. Build a solid foundation in programming for beginners
  6. Test and solidify your knowledge through quizzes and assignments
  7. Complete hands-on projects to ensure understanding and skill development
  8. Learn to compare and evaluate your code through provided solutions

R Programming 2023 For Data Science:5 Real World Projects!!

Course Preview R Programming 2023 For Data Science:5 Real World Projects!!

Platform:
Udemy

Rating:
4.4 out of 5

Dive into the exciting world of data science and analytics with a comprehensive online course focused on R programming. This course is designed to equip you with all the necessary knowledge to kickstart your data science career, providing full-fledged insights on R and covering everything from the basics to more advanced topics. With the demand for data scientists only growing, this course is your ticket to entering the ever-evolving field of data science and becoming an expert in R programming.

This all-in-one course covers a wide range of topics to ensure you can always apply your newfound skills on practical, real-world problems. It starts with understanding the “What’s and Why’s” of R programming, followed by core knowledge on DataTypes and string manipulation using Stringr Package. You’ll explore various data structures including vectors, matrices, arrays, and lists, while learning about loops, conditions, and functions. Key highlights also include data transformations, handling date and time, descriptive statistics, and data visualization using ggplot2. To top it all off, the course boasts engaging practice questions, case studies, and five projects designed to hone your problem-solving skills and boost your confidence in handling datasets. So, join this informative course and start your journey towards a successful career in data science today!

Skills you’ll learn in this course:

  1. Understanding R programming language and sampling techniques.
  2. Core knowledge of DataTypes.
  3. String manipulation and handling with Stringr Package.
  4. Data structures, loops, and conditions for programming skills in R.
  5. Utilizing Dataframes for data analysis process and concepts.
  6. Mastering data transformations for analysis.
  7. Handling date and time using Date Time Module.
  8. Performing data visualization using GGPLOT2 and tackling real-world problems with practice questions and case studies.

And there you have it! A tailor-made list of R programming online courses to help you enhance your data analysis and data visualization skills. Regardless of your level of expertise – be it a novice, or a seasoned data enthusiast – there’s a course just for you. By investing your time in learning and sharpening your R programming skills, you’ll undoubtedly stand out in your organization and become an invaluable asset.

In summary, R programming is an essential language in the data-driven world we live in today. It unlocks doors to higher-paying jobs and exciting projects and gives you the knowledge and confidence to build great visualizations. Now that you know where to look for these resources, dive in and start learning! The journey towards mastering R programming starts with that very first step, and we have every confidence in you. Our parting advice ā€“ keep practicing, experimenting, and staying curious. Happy coding!

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