Complete beginners can benefit from this R programming course; no prior coding knowledge or statistical background is required.
What you’re going to discover
- R Programming Fundamentals
- R’s Data Structures
- You can repurpose code by creating your own functions.
- Conditions
- No Prior Knowledge of Programming Is Required.
- Synopsis
- You’ve made the decision to study R or familiarize yourself with it, but where do you even begin? Alternatively, are you a data scientist, business analyst, or data analyst who want to seamlessly go into R programming?
Then, this R course was created specifically for Complete Novices!
This course was created to be your introduction to the world of R programming! We will learn more about R objects, have a better understanding of the R user interface, and experiment with a variety of datasets. Lectures in this course center on the following groups:
- R’s foundations
- R Control Statements
- R Functions
- R Data Structures
- Graph Plotting in R
- Tasks in R
Instead of teaching you every function and method available, I’ll show you how to read questions and examples and figure out the answer on your own, expanding your understanding of the various R objects. This course was created with the practical side of R coding in mind.
You ought to be able to use R to analyze your own datasets by the end of the course. Along the process, you will also learn about R arrays, lists, matrices, and vectors, as well as how to combine your understanding of these objects to enhance your analysis.
Following completion of the course, you will be able to do the following examples of things:
Create engaging line graphs that let you infer meaning from data.
Plot numerical data histograms.
You can repurpose code by creating your own functions.
R’s Data Structures
Come along on this R trip with thousands of professionals and students to experience the incredible power of this open-source statistical language. We will continuously update this course in response to student feedback.
- Who should take this course? Business analysts
- Analysts of Data
- Managers of Finance
- Statisticians R students
- Scientists of Data
- Entry-level Data Scientists and Data Engineers
- Undergraduates in Software Engineering
- Postgraduate Learners
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