R Programming for Data Science
R Programming for Data Science
Last updated 12/2022
Duration: 7h 45m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.06 GB
Genre: eLearning | Language: English
Last updated 12/2022
Duration: 7h 45m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.06 GB
Genre: eLearning | Language: English
Learn R Programming Fundamentals, Data Wrangling, Data Visualization for Data Science
What you'll learn
Fundamentals of R Programming
Work with RStudio
Use Vectors, Matrices, Lists, Data Frames
Importing and Handling Large CSV files Data in R
Import packages in R & use dplyr Package for Data Wrangling
Create Data Visualization in R
Using R for Basic Statistical Data Analysis
Requirements
No prior knowledge or technical backgrounds is required
Description
Welcome to this course of R Programming for Beginners with the hands-on tutorial, and become an R Professional which is one of the most favoured skills, that employer's need.
Whether you are new to programming or have never programmed before in R Language, this course is for you! This course covers the R Programming from scratch.
This course is self-paced. There is no need to rush - you learn on your own schedule.
R programming language iѕ one of the best open-source programming language and more powerful than other programming languages. It iѕ well documented and has a clean syntax and quite еаѕу tо lеаrn.
This course will help anyone who wants to start a саrееr in Data Science and Machine Lеаrning. You need to have basic undеrѕtаnding оf R Programming to become a Data Scientist or Data Analyst.
This course begins with the introduction to R course that will help you write R code in no time. Then we help you with the installation of
R and RStudio
on your computer and setting up the programming environment. This course will provide you with everything you need to know about the basics of
R Programming.
In this course we will cover the following topics:
Basics of R Programming including Operators
Fundamentals of R Programming
Vectors, Matrices, Lists
Data Frames
Importing Data in Data Frames using Text and CSV files
Data Wrangling using dplyr package
Data Visualization
This course teaches
R Programming
in a practical manner with hands-on experience with coding screen-cast.
Once you complete this course, you will be able to create or develop
R Programs
to solve any complex problems with ease.
Who this course is for:
Beginner who wants to learn R Programming
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