Description
Course info
Rating
(44)
Level
Beginner
Updated
Feb 28, 2020
Duration
2h 2m
Description

At the core of data analysis is a thorough knowledge of R programming. In this course, Programming with R, you will learn how to manipulate different objects.

First, you will learn the basic syntax.
Next, you will explore data types and data structures available in R.
Finally, you will discover how to write your own functions by implementing control flow statements.

When you are finished with this course, you will have a foundational knowledge of R programming that will help you as you move forward to data science.

Course FAQ
Course FAQ
What is R programming language?

R is a programming language used primarily for statistical computing and data analysis, helping retrieve, organize, analyze, and visualize data.

Is R better than Python?

It depends on what you're trying to do. If you want to analyze data and present the findings, R is probably better. But if you are developing a program for data analysis that interacts with several other components, Python would be better. R is better for statistical learning, and Python is better for machine learning and automation.

What will I learn in this course?

This course will introduce you to the R programming language. Topics covered will include:

  • What is R and why use it?
  • Variables and operators in R
  • R data types
  • Exploring vectors and factors in R
  • Matrices, arrays, and lists in R
  • R data frames
  • Managing control statements
  • Building your first function in R
Who should take this course?

This course is great for anyone interested in data analysis. If you want to learn the basic syntax of R programming to better manipulate and understand data, then this R course is perfect for you.

Are there prerequisites to this course?

Nope! This course assumes no prior knowledge, and will show you the basics of R programming language, including data types, data structures, conditional statements, and functions.

About the author
About the author

As a data analyst enthusiast, Mihaela has special interests in translating vision into action using end-to-end data analysis while being very passionate about teaching.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hi, everyone. My name is my holiday change and welcome to my course programming with our I would data analyst. And let me tell you something about me. I'm really passionate about finding patterns and working with visual datum. Data analysis is an incredible skill in today's market, and in this course we're going to explore the most important concepts that you were required. When four starting to work with art tell off the major topics that will recover include discovering the syntax by working with our studio. Then we'll dive into data types and we will work with different data structures like factors or data frames. Next, using Contra Flow state. Once we will control the execution flow off our program and finally we'll create our first function. By the end of this course, you'll have a solid foundation to get started performing data analysis. This course is a quick introduction to our programming. So no prior experience with our is required from here. You should feel comfortable diving in tow are with courses on graphics, exploratory data analysis and data science. I hope you enjoy me on this journey to learn our with the programming with our course at plural site