4.34 (37 reviews)

Regular Price

Topics

What you will learn

☑ This is a R crash course for anyone who previously had no or very little contact with script-based programming in R

☑ The main goal is to establish the basic understanding needed for more advanced courses that uses R language, RStudio and R-programming

☑ Learn how to install R and RStudio on your computer

☑ The best about this course that in very concise manner: you will be able to learn all the fundamentals of R-programming in 2 hours!

☑ You will learn Package Management in R & RStudio

☑ How to calculate in R & RStudio

☑ All data types in R-language

☑ Learn about data frames, indexing data frames and dealing with the missing values in R & RStudio

☑ Learn about functions, control structures and for loops in R & RStudio

☑ All the R-scripts used in this course will be also provided to you

Description

*'R Crash Course - a short and concise introduction to R and R Studio, R-programming for the Beginners'*

This is an R crash course for anyone who previously had no or very little contact with script-based programming in R.

*The main goal is to establish the basic understanding needed for more advanced courses that use the R language, RStudio, and R-programming for example, for data science, machine learning, or statistical analysis in R.* This is also a baseline course that I will recommend to my students to take to refresh their knowledge on learning R-programming language for my upcoming data science courses in R.

**The best about this course that is in a very concise manner (2 hours!) you will be able to learn all the fundamentals of R-programming that will enable you to get started with R!**

What will you learn in this course:

§ Package Management

§ Calculate with R

§ Variables

§ Vectors

§ Matrices

§ Lists

§ Data frames

§ Missing values

§ Functions

§ Control Structures

§ For loops

**All the R-scripts used in this course will be also provided to you.**

The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field.

*This course is NOT for you if you an intermediate or advanced user of R and don't need an introduction to R programming!*

Let’s get started!

Screenshots

Content

Introduction

Introduction

Getting started - Installing R and RStudio

What is R and RStudio?

How to install R and RStudio in 2020

Lab: Install R and RStudio in 2020

Lab: Get started with R in RStudio

R Package Management & Calculations in R

Lab: Installing Packages and Package Management in R

Lab: Calculations in R

Variables in R and assigning Variables in R

Lab: Variables in R and assigning Variables in R

Overview of data types & structures

Overview of data types and data structures in R

Lab: Overview of data types and data structures in R

Data types and data structures: Vectors in R

Vectors' operations in R

Lab: Vectors' operations in R

Data types and data structures: Factors

Matrices, Lists and Dataframes

Data types and data structures: Matrices

Data types and data structures: Lists

An introduction to Dataframes

Indexing and querying Dataframes

Modifying Dataframes

Handling missing values in R

Functions, Control Structures, and For Loops in R

Overview of functions in R

Control Functions (if, if else, else, while, switch, repeat, break, return) in R

For Loops in R

Reviews

H

Harold24 March 2021

Great so far, very knowledgeable about R and RStudio installation, very pleasing lectures and expect more as the course progresses to mastery of R

М

Марина2 February 2021

I enjoyed the course material. Instructions were mostly clear, was able to find solutions in the Q&A when code was not working properly. Instructors were responsive when helping students. Can't wait to use what I learned here in work.

А

Анна2 February 2021

Never thought I could get R-programming this easy. Your teaching prower is amazing. I enjoyed every bit of it.

В

Василий1 February 2021

Full analytic and good course for someone who has no knowledge of machine learning in R. The instructor was excellent!

С

Светлана11 November 2020

The course contains great information. The delivery of lectures has been made very interesting by the instructor

Coupons

Date | Discount | Status | ||
---|---|---|---|---|

2/12/2021 | 50% OFF | Expired | ||

4/19/2021 | 100% OFF | Expired | ||

5/4/2021 | 100% OFF | Expired | ||

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