Statistics in R - The R Language for Statistical 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

What You Will 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

Who Should Attend!

• students who need data analysis in their work
• data analysts
• entrepreneurs with quantitative interests
• everybody interested in statistics

TAKE THIS COURSE