R Programming for Data Science Training Online
EduCBA
Summary
- Certificate of completion - Free
Overview
Learn R Programming for Data Science Online
- 6+ Hours OF HD VIDEOS
- Verifiable CERTIFICATION
- Practical SKILLS DEVELOPMENT
- Accelerate YOUR CAREER
- Lifetime Access 24*7 Unlimited Access
- Access through any device
- Technical support
- Mobile App Access
R is a powerful language and environment that is used for statistical computing and graphics. Very similar to the S language and environment that was developed at Bell Laboratories by John Chambers and colleagues, while the R programme was a part of the GNU project. R can be considered as a different implementation of S and there are some important differences while so much of their code is similar for both S and R.
Description
Learn R Programming for Data Science Online
R is a powerful language and environment that is used for statistical computing and graphics. Very similar to the S language and environment that was developed at Bell Laboratories by John Chambers and colleagues, while the R programme was a part of the GNU project. R can be considered as a different implementation of S and there are some important differences while so much of their code is similar for both S and R.
R provides a lot of variety for statistical including linear and non linear modeling, classical statical tests among others as well as for graphical technique which is quite extensible. The S language is, therefore, a great choice for research in statistical method and R provides an Open source to match the requirements.
One of the biggest strengths of R is that it is easy to integrate it with publication quality plots including symbols and formulas related to mathematical equations. So while great care has been taken to ensure default choices in minor design changes, the user is more often than not in full control of the software. In addition, R is available as a free software under the terms and conditions of Free Software Foundation’s GNU General Public License. It is capable of being compiled and run on a number of platforms including UNIX platforms, MacOS and Windows.
An integrated suite for software facilities that are used for data manipulation, calculation, and graphical display, it has the following features:
- A good data handling and storage capability
- A suite of operators that can calculate a variety of matrices and arrays
- A large, coherent and integrated collection of tools that can effectively help companies to analyse data
- Graphical facilities for data analysis and displays which can be availed either on the screen or through hard copies
- A well developed simple and effective programming language that includes loops, conditionals, and user-defined recursive functions.
In short, R is a programming language and software environment that is used for statistical computing and graphics. The R language is further mostly used by statisticians and data miners so that they can develop new and innovative statistical software and data analysis methods. Polls, surveys of data miner and studies have effectively proved that the popularity of R software has increased substantially in the recent years.
Who is this course for?
R Programming for Data Science ideal target audience for this course would include individuals who are trying to get into analytics domains. Graduates who are trying to discover a new career field and are passionate about working in an exciting industry is also perfect for this course. In addition, anyone who wants to learn about R programming would be an effective target audience for this course as well.
Requirements
- If you are interested in being a part of this course, it is important that you have at least a basic understanding of how a computer system operates
- You must have a basic understanding of basic programming concepts
- You must have at least some knowledge about statistical reasoning
- Being a passionate learner will help you learn more about the industry in an effective manner
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Certificates
Certificate of completion
Digital certificate - Included
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.