R Programming for Data Science Course by Henry Harvin
$185
Course Features
Duration
8 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
8 hours
Course Description
Course Overview
Live Class
Internship
Job Assistance
Alumni Network
Personlized Teaching
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
There is no minimum criterion set for attending this R Programming course
A Bachelor's degree, is recommended
What You Will Learn
Learn to apply various R Programming for Data Science skills and techniques
Practice with various tools used by Data Scientists and become experienced in using them
Master the key steps involved in tackling a Data-driven problem and learn to think and work like a Data Scientist
Work with Wrangling, sorting, vectors, dplyr, and a whole lot more!
Understand R programming language and how it aids Data Science
Learn to perform complex data operations in R
Utilize several data visualization tools, techniques, and libraries
Understand and apply variously supervised and unsupervised Machine Learning models, and algorithms to address real-world challenges
Grab an ample range of career possibilities
Upgrade your CV and get better shortlisted
Target Students
Professionals
Graduates
Course Accreditations
Course Reviews
Average Rating Based on 8 reviews
100%
$185