5
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You will learn the syntax of the R language
You will get to know the most important data types
You will master the key structures: matrices, vectors, and data frames
You will learn to use ready-made solutions for quick data work
You will learn how to read and write data stored in external files
You will discover techniques for creating charts in the R language
You will master the most important statistical functions
Do you want to start your adventure with data? Are you interested in a career in Data Science? Do you want to learn a modern tool for analyzing and visualizing data? If so, this course will be a great choice!
Data is the modern gold - it allows us to make better decisions and stay one step ahead of the competition. And the R language, with its simplicity, is perfect for working with data, even if you have no programming experience.
In this course, we will go over the most important techniques for working with data in the popular R language step by step. With simple theory, you will easily understand all the topics. And with numerous exercises, you will gain practical skills in working with data.
With this course, you will discover the wide possibilities of the R language for processing any data.
We will start the course by discussing the basic syntax of the R language. You will master the most important data types and learn how to use functions, operators, and loops. This will build a solid foundation for further work.
With the course, you will learn key techniques and structures for working with data. You will understand what lists are, how to work with matrices, how to use vectors, and data frames. This is crucial knowledge necessary for everyday work.
With the R language, you can easily prepare visualizations of any data. With the course, you will learn how to create charts using simple-to-use functionalities.
With the course, you will also learn the wide possibilities of R in the field of statistical calculations. This is one of the main applications of this language.
The R language is widely used in Data Science, statistics, bioinformatics, business intelligence, and many other fields. It is a great tool that enables easy data processing.
The course covers the R language from scratch - you do not need any programming knowledge to start using it.
Average rating
5
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