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StanfordOnline: R Programming Fundamentals

91,00 €

This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman.

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91,00 €

This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman.

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Discover the Course

About this course

This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co-creators of the R language, Robert Gentleman.

At a glance

  • Institution: StanfordOnline
  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites:
    • Basic familiarity with computers and productivity software
    • Helpful but not required: experience/background in statistics, a scientific or engineering discipline
  • Language: English
  • Video Transcript: English
  • Associated skills:Computational Statistics, R (Programming Language)

What you’ll learn

We will cover:

1. How to download and install R.

2. How to use R in an interactive and easy-to-understand environment.

3. What the key objects are and how we manipulate them in R.

4. Where the objects are stored and how to save our work.

5. All the important data structures: data frames, lists, matrices.

6. How to import data into R and how to save your work.

7. How to manipulate and preprocess data and work with missing values.

8. How to plot your data – an introduction to ggplot2.

9. How to use the wealth of contributed packages to achieve a specific task.

Course Overview

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Gain immediately usable knowledge you can apply at work or life.

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Career & Personal Growth

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What makes ClearTech different?

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Yes, every completed course grants you a certificate to validate your achievements.

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