Statistics in R - The R Language for Statistical Analysis
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Are you a R user?
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.
Since data visualization is such an important part within data science you can also take a look at our Graphs in R course. This course gives you in depth knowledge about R plotting devices. Nowhere else on the web can you find such an extended course about this crucial topic.
If you are purchasing a combined package you will get a pm with the access code to the other course. For special offers and combinations just check out the r-tutorials webpage which you can find below my profile.
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|Section 1: Welcome|
|Section 2: Inferential Statistics|
R Statistical Packages
Tests for Normality
Exercise and Solution Normality Tests
Further R Exercises
1 Sample T Test
2 Sample Independent T Test - Welch Test
Exercise and Solution T Test
Mann Whitney U Test - Wilcoxon Test
Post Hoc Tests - Tukey HSD
Chi Squared Test and Kruskal Wallis Test
Exercise and Solution Chi Squared Test
Summary Sections 1 and 2
Inferential Statistics - Script
|Section 3: Statistical Methods for Outlier Detection|
Theory Behind Outlier Detection
Outlier Detection - Univariate
Outlier Detection - Multivariate
Outlier Section Script
|Section 4: Statistical Modeling and Regressions|
Modeling Theory 1
Modeling Theory 2
Modeling Theory 3
Multiple Linear Regression
Exercise and Solution Linear Regression
Exercise and Solution Logistic Regression
Regressions - Script
|Section 5: Advanced Modeling Techniques|
KNN - K Nearest Neighbors Classifier
|Section 6: R Commander|
Link Collection useful for R Commander
R Commander Intro
Getting Data into Rcmdr
Modeling with R Commander
R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 30,000+ students love it.
We focus on Data Science tutorials. Offering several R courses for every skill level, we are Udemy's number one 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 there to help you boost your career with analytics training – Just learn and enjoy.