Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 10 Minute(s)
Language
English
Taught by
R-Tutorials Training
Rating
2 views
Course Overview
Statistics made easy with the open source R language. Learn about Regression, Hypothesis tests, R Commander ...
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
Course Content
- 6 section(s)
- 43 lecture(s)
- Section 1 Welcome
- Section 2 Inferential Statistics
- Section 3 Statistical Methods for Outlier Detection
- Section 4 Statistical Modeling and Regressions
- Section 5 Advanced Modeling Techniques
- Section 6 R Commander
What You’ll 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
Reviews
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EElizabeth Dada
Good match
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MMark Hanson
Yes, a very good match. Would like to see these applications used for much larger data sets to truly garner the power and how to use the results to make decisions
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LLoh Huai Kai
Takes some time to get used to the terminology for a beginner with little background, but a little self digging, this becomes a valuable resource.
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DDawn Ang
Much clearer than R Level 1. Examples were more well explained. I gained a good overview of implementing statistics with R. Responses to questions are not so prompt.
