Track
A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.
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Course
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Course
In this course you'll learn how to leverage statistical techniques for working with categorical data.
In this course you'll learn how to leverage statistical techniques for working with categorical data.
Course
In this course you'll learn techniques for performing statistical inference on numerical data.
In this course you'll learn techniques for performing statistical inference on numerical data.
Course
In this course you'll learn how to perform inference using linear models.
In this course you'll learn how to perform inference using linear models.
Statistical Inference in R
Track
Complete
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.
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.
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.
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.
This Track usually takes 16 hours to complete, as it consists of several courses that significantly upskill users.
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.
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.
This Track is a skills Track, designed to help learners develop a core set of skills related to statistical inference.
