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Statistical Inference in R

Updated 03/2026
A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.
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RProbability & Statistics16 hr7,776

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Track Description

Statistical Inference in R

Familiarize yourself with the core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Foundations of Inference in R

    Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Statistical Inference in R
4 Courses
Track
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FAQs

Is this Track suitable for beginners?

Yes, this Track is suitable for beginners. It covers the foundations of inference and provides an introduction to the core set of skills in statistical inference. The courses are designed to develop a user's skill set, no matter their current level of expertise.

What is the programming language of this Track?

This Track is built using the R programming language. It is recommended that learners already have some experience with the fundamentals of R prior to starting the Track.

Which jobs will benefit from this Track?

This Track is beneficial for any job that requires a basic understanding of statistical inference. This includes jobs in data analytics, machine learning, and data science.

How will this Track prepare me for my career?

This Track is designed to provide users with a deep understanding of the core principles of statistical inference. Learners will be able to interpret and tune their statistical and machine learning models, in addition to developing new skills related to data analysis.

How long does it take to complete this Track?

This Track usually takes 16 hours to complete, as it consists of several courses that significantly upskill users.

What's the difference between a skill track and a career track?

A skill track is designed to develop a specific set of skills that learners can use in a variety of areas. A career track is focused on helping learners achieve a specific career goal, such as a job in data analysis or machine learning.

What are the courses in this Track?

This Track consists of four courses: Foundations of Inference in R, Inference for Linear Regression in R, Inference for Numerical Data in R, and Inference for Categorical Data in R.

What type of Track is this?

This Track is a skills Track, designed to help learners develop a core set of skills related to statistical inference.

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