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Introduction to Data Analysis using R
With Grant Hutchison
Audience:
Data Analysts, Programmers

Time to complete:
5 hours

Available in:
English

Introduction to Data Analysis using R


Course Syllabus
Introduction to R

Getting Started - R Console

Data types and Structures

Exploring and Visualizing Data

Programming Structures, Functions, and Data Relationships


General Information
This course is free.

It is self-paced.

It can be taken at any time.

Students passing the course (by passing the final exam) will have immediate access to printing their online certificate of achievement. Your name in the certificate will appear exactly as entered in your profile in BigDataUniversity.com.

It can be taken as many times as you wish.

Labs can be performed on the Cloud, or using a 64-bit system.

If using a 64-bit system, Applicants can install the required software (Linux-only), or use the supplied VMWare image.

If you did not pass the course, you can take it again at any time.


Pre-requisites
None

Recommended skills prior to taking this course
Applicants should have Basic knowledge of statistics and any other programming language such as Python or Java is beneficial but not required.

Grading Scheme
The minimum passing mark for the course is 60%, where the final test is worth 100% of the course mark.
You have 3 attempts to take the test.