Statistician in R

Master the essential skills to land a job as a statistician! Using statistics, you can help solve real-world problems in business, engineering, the sciences, and many other fields. In this track, you'll learn how to use statistical methods to explore and model data, draw conclusions from a wide variety of datasets, and interpret and report findings.

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Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hours

Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

4 hours

Introduction to Regression in R

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hours

Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours

Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hours

Experimental Design in R

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours

Analyzing Survey Data in R

Learn survey design using common design structures followed by visualizing and analyzing survey results.

4 hours

Hierarchical and Mixed Effects Models in R

In this course you will learn to fit hierarchical models with random effects.

4 hours

Survival Analysis in R

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

4 hours

Fundamentals of Bayesian Data Analysis in R

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours

Factor Analysis in R

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

4 hours

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.

4 hours

How Environmental Factors Influence Wildlife Populations

Explore habitat data using factor and survival analysis tools.

2 hours

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Statistician in R

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Join over 15,140,000 learners and start Statistician in R today!