Data Analytics Using R 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
Job Assistance
Personlized Teaching
Case Based Learning
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, although a Bachelor's degree is recommended
What You Will Learn
Enter the world of R Programming and know everything you need to get started with R and Data Science
Learn how to ask the right questions, obtain data, and perform reproducible research
Use R to clean, analyze, and visualize data
Set-up R, R-Studio, Github and other useful tools
Cultivate knowledge of foundational data science tools and techniques, including programming in R, and conducting reproducible research
Be able to build a data product using real-world data
Learn how to program in R and how to use R for effective data analysis
Know how to install and configure software necessary for a statistical programming environment
Acquire hands on knowledge of practical issues in statistical computing including programming in R, reading data into R, accessing R packages, writing
R functions, debugging, profiling R code, and organizing and commenting R code
Target Students
Students
Professionals
Graduates
Course Accreditations
$185