R for Beginners

Are you one of the people that would like to starta data science career or are you just fondof using datafor data analysisin your spare time or for your job?  Do you use spreadsheetsfor data cleaning, wrangling, visualization, and data analysis? I think it is time to enhanceyour hobbyor your career pathwith learning adequate skills such as R.

R is s a programming languagethat enables all essential steps when you are dealing with datalike:

• importing,

• exporting,

• cleaning,

• merging,

• transforming,

• analyzing,

• visualizing,

• and extracting insights from the data.

Originally R began as a free software environmentfor statistical computingwith graphics supported. Over the years with the rapid development of computing power and the need for tools used for miningand analyzing tonsof datathat are being generated on every step of our lives, R has emergedinto something much greaterthan its original laid path. Nowadays the R communityis vast, every day thousands of people start learning R, and every day new R’s libraries are being made and released to the world. These libraries solve different users’ needs because they provide different functions for dealing with all kinds of data.

If you are still not convinced to join me on a journey where foundations for your R skills will be laid, please bear with me a bit more. In this R for Beginners course, you will dive into essential aspects of the language that will help you escalate your learning curve. Course first gently touches the basics like:

• how to install R and how to install R’s Integrated Development Environment(IDE) RStudio,

• then you will learn how to create your first R script and R project folder,

• R project folderwill be your baseline folder where all your scriptsand assignmentswill be saved,

• you will learn how to install different R packages and how to use functionsprovided with each package.

After these first steps, you will dive into sections where all major R data structures are presented. You will be able to:

• differentiateamong each data structure,

• use built-in functionsto manipulate data structures,

• reshape, access elements, and convert R objects,

• import datafrom many different sources into R’s workspace and

• export R objects to different data sources.

When you will have a grasp of what R is capable of, a section devoted to programming elementswill guide you through essential steps for writing a programming codethat can execute repetitive tasks. Here you will master:

• your first loops,

• conditional statements,

• your custom made functions,

• and you will be able to optimizeyour codeusing vectorization.

It is said that a picture can tell an observer a powerful story and holds a stronger message than a thousand words combined. In the final section of this course, the greatest R’s power is revealed, the power to tell the story by using data visualization. Here you will master how to build:

• scatterplots,

• line charts,

• histograms,

• box plots,

• bar charts,

• mosaic plots,

• how to alter R’s default graphical parametersto make beautiful figures,

• and how to exporta figurefrom R to a proper format for further sharing with your colleagues.

If you are still not convinced to start learning R, I will share with you how the course is structured:

• Each sectionholds separate exercisescovering learning material that is related to the section’s topic.

• Normally each exercise begins with a short introthat provides a basic understandingof the topic, then a coding exerciseis presented.

• During coding exercise, you will write the R codefor executing given tasks.

• At the end of each section, an assignmentis presented.

• Each assignment teststhe skillsyou have learnedduring a given section.

• In the last two assignments, you will write a code to build a simulation environmentwhere you will execute the simulation and present the results with proper visualization techniques.

Do not lose more time and please enroll in the course today. I guarantee you will learn a lot and you will enjoy the learning process.

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• 1 stars: 7 votes
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• 4 stars: 183 votes
• 5 stars: 242 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!