SKILL TRACK

Intro to Statistics with R

Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.

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R Language
20 hours
5 Courses

1

Introduction to Data

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours Play preview

Mine Cetinkaya-Rundel

Associate Professor at Duke University & Data Scientist and Pr...
2

Exploratory Data Analysis

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours Play preview

Andrew Bray

Assistant Professor of Statistics at Reed College
3

Correlation and Regression

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hours Play preview

Ben Baumer

Assistant Professor at Smith College
4

Multiple and Logistic Regression

In this course you'll lear to add multiple variables to linear models and to use logistic regression for classification.

4 hours Play preview

Ben Baumer

Assistant Professor at Smith College
5

Foundations of Inference

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

4 hours Play preview

Jo Hardin

Professor at Pomona College
Statement of accomplishment

See all 5 courses

Mine Cetinkaya-Rundel

Associate Professor at Duke University & Data Scientist and Professional Educator at RStudio

Andrew Bray

Assistant Professor of Statistics at Reed College

Assistant Professor at Smith College

Professor at Pomona College

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