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Beginner: Using R and Data in Applied Econometrics

The modules in this unit are Beginner level. They are intended for people who are starting to learn how to use tools like Jupyter and R for applied econometrics. Many courses share this material, and you should try working through the notebooks in order.

If you are looking to filter by a specific course, select the course number in the list of categories on the right.
If you’re looking for the basics, check out our getting started pages for an introduction.

You should make sure you’re familiar with the basics of R and using data before starting these notebooks.

1.0.0 - Beginner - Introduction to Statistics

This notebook introduces you to some fundamental statistics and basic probability concepts. It is designed to cover introductory statistics material taught in Foundations of…

1.0.1 - Beginner - Introduction to Statistics using R

This notebook is an introduction to basic statistics using Jupyter and R, and some fundamental data analysis. It is a high-level review of the most important applied tools…

1.1 - Beginner - Introduction to Central Tendency

This notebook is an hands-on introduction to the concepts of Central Tendency at the beginner level using R. It is meant for undergraduates with no or very little prior…

1.1.1 - Beginner - Central Tendency

This notebook is an introduction to basic statistics using Jupyter and R, and some fundamental data analysis.

1.2 - Beginner - Dispersion and Dependence

In this notebook we explore how data is spread out, and what that means for its interpretation. This includes both how individual values may vary, and how values may…

1.3.2 - Beginner - Confidence Intervals

What does it mean to be confident in a statistical estimate? This notebook is an introduction to confidence, and confidence intervals - especially in the context of the…

1.4.2 - Beginner - Hypothesis Testing

What is a hypothesis? How do we test it? This notebook introduces hypothesis testing in two different ways, outlining the connection between them and how we can use this…

1.5.1 - Beginner - Introduction to Data Visualization I

How do we make visualizations of data? This notebook uses the ggplot packages to help create impactful data visualizations using R. We will also discuss the rationale…

1.5.2 - Beginner - Introduction to Data Visualization II

How do we make visualizations of data? This notebook uses the ggplot packages to help create impactful data visualizations using R. This builds on the first notebook…

1.6 - Beginner - Distributions

This notebook introduces the idea of a statistical distribution, including its properties and some commonly used functions associated with it. We also discuss the shape of…

1.8 - Beginner - Sampling Distributions

What is a sampling distribution? This notebook tackles, using a simulation-based approach, the most complex idea in this course. It is code-heavy, but most of it is in the…