Udemy - R Programming for Data Science and Machine Learning

[ DevCourseWeb.com ] R Programming for Data Science and Machine Learning



Download More  Courses Visit and Support Us -->> https://DevCourseWeb.com







MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 25 lectures (3h 40m) | Size: 1.13 GB

Learn R programming to implement Machine Learning & DS algorithms

What you'll learn:

Learn to program in R at a good level and how to use R Studio

Learn the core principles of R programming

Learn how to create vectors in R

Learn how to create variables

Learn Data types in R

Decision Making in R

Learn how to build and use matrices in R

Learn how to use Functions in R

Learn to use Factors in R

Learn to use Data Frames in R

Learn how to install packages in R

Learn how to use charts and Graphs in R

Learn to read data from CSV files, Excel files

Learn Data Analysis in R

Learn how to use charts & graphs in R for data visualization



Requirements

Basic Understanding of Computers

Keen to learn R



Description

R is one of the most popular and widely used tools for statistical programming.

It is a powerful, versatile, and easy to use tool for data analytics, and data visualization.

It is the first choice for thousands of data analysts working in both companies and academia.



This course will help you master R programming, as a first step to become a skilled R data scientist.



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



Download More  Courses Visit and Support Us -->> https://DevCourseWeb.com



Get More Tutorials and Support Us -->> https://AppWikia.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...