R, one of the leading programming languages, is widely used for statistics and data modelling.
R, one of the leading programming languages, is widely used for statistics and data modelling. Its popularity can be attributed to the fact that it is sophisticated, extremely versatile, and flexible and can be applied in a variety of fields, including data science, engineering, business, medicine, and pure science.
R allows data analysis using a variety of statistical techniques, such as linear and nonlinear modelling, classical statistical tests, and time-series analysis, to name a few, and also has the capability to produce a range of graphics, including charts, plots, graphs, and so on, that can be used for presentations.
Our course offers an expert's-eye overview of how these advanced tasks fit together in R as a whole, along with practical examples. Through hands-on exercises and in-depth coaching, you will gain a thorough understanding of R, its data structures, data processing functions, and data summarizing.
What You Will Learn
Basics of R
Install R Studio. Explore R language fundamentals, including basic syntax, variables, and types
Data Structures
Learn about data structures that R can handle. Create and manipulate regular R lists, tuples, etc.
Conditional Statements
Learn about control and loops statements
Object-Oriented Programming
Learn to write user-defined functions and object-oriented ways of writing classes and objects.
Functions
Use functions and import packages
Querying and Filtering
Learn to apply data processing functions in R for describing and performing operations on data.
Summarizing
Learn to Summarize the data, which helps you take the necessary steps for further analysis
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In this course, you’ll acquire the skills and competencies to write simple programs in R, covering core language concepts (variables, loops, etc.).
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