R for Data Analysis
Learn about the R language for data analysis and statistical computing with the help of this free online course.
Take this certificate on your own.
Start now and learn at your own pace.
CertificationView course modules
This course will first cover the topic of manipulating and grouping data so that can you prepare and organize your output. You will then learn how to present this output via visualizations. You will also study important packages such as dplyr, tidyr, readr, data.table, SparkR, and ggplot2, along with how these packages can make data manipulation, visualization, and computation much faster. The course will then show you the crucial difference between a feature manipulation and observation manipulation.
Next, you will study the main two types of data visualization. Data visualization is a term that describes any effort to help people understand the significance of data by placing it in a visual context. It exposes patterns, trends, and correlations that might go undetected in text-based data, and makes these patterns more easily recognizable. Finally, you will learn about the grammar of graphics, the different graphing and charting libraries needed for your visualizations, how to set of colours, and how to organize data in your visualizations.
This R for Data Analysis course will be of great interest to professionals working in the areas of data science and data analysis. It would also be valuable to learners who want to get started with R for statistical computing. By the end of the course, you will have a valuable data analysis tool in your belt, which will make your statistical résumé, and output, much stronger. So why wait? Get started with this course today, and learn a valuable new skill in no time.Start Course Now
On completing this course, you will be able to: - List libraries/packages you will need to include in your program for data manipulation. - Discuss the process of features and observation manipulation. - Describe how the forward pipe operator helps cleans up and organize your code. - Explain what data visualization is and the difference between its two types. - List libraries you will need to include in your r program to create visualizations. - Describe how to display your data on a visualization.
All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:
Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning
Alison offers 3 types of Certificates for completed Certificate courses:
Digital Certificate - a downloadable Certificate in PDF format, immediately available to you when you complete your purchase
Certificate - a physical version of your officially branded and security-marked Certificate, posted to you with FREE shipping
Framed Certificate - a physical version of your officially branded and security-marked Certificate in a stylish frame, posted to you with FREE shipping
All Certificates are available to purchase through the Alison Shop. For more information on purchasing Alison Certificates, please visit our FAQs. If you decide not to purchase your Alison Certificate, you can still demonstrate your achievement by sharing your Learner Record or Learner Achievement Verification, both of which are accessible from your Dashboard. For more details on our Certificate pricing, please visit our Pricing Page.
Need Some Help?
R programming is a language that was developed by Ross Ilhaka and Robert Gentleman in 1993. It is a statistical and graphical language that includes machine learning algorithms, linear regression, time series, and statistical inference. This free R programming course will help you learn about the data analysis aspect of R.
The best free online programming courses available on Alison include:
Each of the online programming courses on Alison are free, as are all of Alison's online courses. Alison's learners do not have to pay anything to take these courses unless they want a digital or physical copy of the course certificate.