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

Discussion in 'E-Books & Tutorials' started by mitsumi, Nov 29, 2015.

  1. mitsumi

    mitsumi Active Member

    Jun 8, 2012
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    Statistics in R - The R Language for Statistical Analysis
    MP4 | Video: 1280x720 | 57 kbps | 48 KHz | Duration: 3 Hours | 505 MB
    Genre: eLearning | Language: English

    Statistics made easy with the open source R language. Learn about Regression, Hypothesis tests, ...
    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 Descriptionting 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.

    What R you waiting for?




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