Statistics in R - The R Language for Statistical Analysis
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Statistics in R - The R Language for Statistical Analysis

Statistics made easy with the open source R language. Learn about Regression, Hypothesis tests, R Commander ...
4.1 (97 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.
1,682 students enrolled
Last updated 9/2016
English
Current price: $10 Original price: $55 Discount: 82% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3.5 hours on-demand video
  • 2 Articles
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • know which statistical test to use for a given question
  • know how to perform the most important statistical tests in R
  • know how to perform regression modeling in R
  • have a very good understand of statistical testing and regressions
  • use R Commander as alternative to RStudio
  • perform stats analysis on outliers
View Curriculum
Requirements
  • solid understanding of R programming - up to my "R Level 1" course
  • R and R Studio ready on your computer
  • basic understanding of statistics (descriptive, inferential, regression)
  • high interest in data analysis
Description

Do you want to learn more about statistical programming?

Are you in a quantitative field?

You want to know how to perform statistical tests and regressions?

Do you want to hack the learning curve and stay ahead of your competition?

If YES came to your mind to some of those points - read on!

This tutorial will teach you anything you need to know about descriptive and inferential statistics as well as regression modeling in R.

While planing this course we were focusing on the most important inferential tests that cover the most common statistical questions.

After finishing this course you will understand when to use which specific test and you will also be able to perform these tests in R.

Furthermore you will also get a very good understanding of regression modeling in R. You will learn about multiple linear regressions as well as logistic regressions.

According to the teaching principles of R Tutorials every section is enforced with exercises for a better learning experience. You can download the code pdf of every section to try the presented code on your own.

Should you need a more basic course on R programming we would highly recommend our R Level 1 course. The Level 1 course covers all the basic coding strategies that are essential for your day to day programming.

What R you waiting for?

Martin

Who is the target audience?
  • students who need data analysis in their work
  • data analysts
  • entrepreneurs with quantitative interests
  • everybody interested in statistics
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Curriculum For This Course
41 Lectures
04:02:33
+
Welcome
3 Lectures 11:49

Summary Statistics
03:33

Variable Types
05:23
+
Inferential Statistics
18 Lectures 01:22:57
R Statistical Packages
05:02


Tests for Normality
06:28

Exercise and Solution Normality Tests
06:29

Further R Exercises
02:39

1 Sample T Test
04:13

2 Sample Independent T Test - Welch Test
05:11

Exercise and Solution T Test
03:43

Mann Whitney U Test - Wilcoxon Test
04:46

ANOVA
04:56

Post Hoc Tests - Tukey HSD
03:06

Chi Squared Test and Kruskal Wallis Test
03:22

Exercise ANOVA
02:10

Solution ANOVA
07:46

Exercise and Solution Chi Squared Test
02:57

Correlations
03:37

Summary Sections 1 and 2
07:03

Inferential Statistics - Script
24 pages
+
Statistical Methods for Outlier Detection
4 Lectures 26:25
Theory Behind Outlier Detection
11:07

Outlier Detection - Univariate
09:08

Outlier Detection - Multivariate
05:46

Outlier Section Script
00:24
+
Statistical Modeling and Regressions
10 Lectures 48:22
Modeling Theory 1
10:39

Modeling Theory 2
04:08

Modeling Theory 3
03:00


Multiple Linear Regression
05:10

Exercise and Solution Linear Regression
03:16

Logistic Regression
05:06

Exercise and Solution Logistic Regression
03:28

Summary Regression
06:25

Regressions - Script
10 pages
+
Advanced Modeling Techniques
2 Lectures 13:02
KNN - K Nearest Neighbors Classifier
05:51

Random Forests
07:11
+
R Commander
4 Lectures 26:03
Link Collection useful for R Commander
00:03

R Commander Intro
05:07

Getting Data into Rcmdr
12:52

Modeling with R Commander
08:01
About the Instructor
R-Tutorials Training
4.4 Average rating
5,049 Reviews
57,593 Students
17 Courses
Data Science Education

R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 50,000+ students love it.

We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy's top R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.

All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.

The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.

Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.

We are here to help you boost your career with analytics training – Just learn and enjoy.