It covers the most essential topics you must learn to begin programming with R. With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics.
DurationOverview
Do you get overwhelmed by complicated lingo and want a course that is easy to follow, detailed and presented to make the process enjoyable?
If so, our R Programming Introduction is the course for you!
It covers the most essential topics you must learn to begin programming with R. With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn on this course is how to master the fundamentals of the open-source programming language which includes vectors, data frames and lists.
Prerequisites:
No prerequisites are required for this course
We have more than twenty five years experience of delivering high quality training courses, and our methods work for our clients and for ourselves. Our win-win philosophy adds real value to the organisations and people we train.
R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
This course is an introduction to using the R software and language, suitable for those who have never encountered R before. No previous statistical knowledge is assumed but participants should be familiar with Microsoft Windows and Excel.
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering etc.) and graphical techniques, and is highly extensible. It is available as free software.
Data analysis is crucial to accurately predict the performance of an application. The course begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins.
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