R Statistics Quick and Dirty
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R Statistics Quick and Dirty

A beginner's introduction to the powerful R language for statistical analysis and data visualization.
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
0 students enrolled
Created by my bringback
Last updated 9/2014
English
Price: $20
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
What Will I Learn?
  • Establish Basics of R Programming
  • Install R
  • Learn Variable Assignment
  • Learn Functions
  • Learn Workspace Saving
  • Learn Working with Filesystems/Directories in R
  • Basic Graphics
  • ggplot2 Basics
  • Package installation
  • Version Management
  • Tools, Tips & Resources Moving Forward
  • Read / Write Files
View Curriculum
Requirements
  • Sense of Humor
  • Willingness to Learn
Description

This course is aimed at a beginner looking to learn R. No programming or statistical background is required or assumed.

The videos in this course will take you from installation to writing your own R scripts and feeling comfortable using R interactively for analysis.

Extensive time is spent on R's graphical capabilities including base packages, ggplot2, and additional beautiful and informative visualization packages.

Who is the target audience?
  • Students
  • MS Excel Users
  • SPSS / SAS Users
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Curriculum For This Course
20 Lectures
01:36:27
+
Basics & Getting Comfortable
3 Lectures 13:01
+
Working In R
4 Lectures 23:42
Variable Assignment
04:55

Vectors
05:43

Character Vectors
06:09

Comparison Operators
06:55
+
Packages & Permanence
6 Lectures 25:44
Objects In Memory
04:08

Saving Workspace State
03:32

Read CSV Files
05:12

Data.Frames
05:08

Install Packages
03:36

ggplot2 Basics
04:08
+
Avenues for Analysis
4 Lectures 20:59
Exploratory Data Analysis
04:19

Working from the Shell
04:16

Upgrading R from Within R
04:54

Data Cleanup Part 1: the pain of munging
07:30
+
Graphics & Visualizations
1 Lecture 04:37
Base Graphics 1
04:37
+
Course Wrap-up
2 Lectures 08:24
File Writing
04:18

Sources of Knowledge for Moving Forward
04:06
About the Instructor
my bringback
3.5 Average rating
84 Reviews
2,121 Students
10 Courses
teaching the world.

mybringback's goal is to give opportunity through technology. The primary emphasis is teaching/training individuals on fundamental and advanced technological topics which allow those individuals opportunities in their futures. We want everyone to succeed but that doesn't mean we have to teach the old fashioned boring way, we want to make our tutorials as informative as entertaining.  From software engineering or development to game programming, we want to get you on the right track!