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new course: pma-intro
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matt-gunther committed Aug 9, 2021
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---
title: "New Online Course: Introduction to IPUMS PMA Data Analysis"
description: |
Explore IPUMS PMA data with R right in your browser, or download Stata code for offline practice
date: 08-07-2021
output:
distill::distill_article:
self_contained: false
preview: ../../images/new_course.png
categories:
- Online Courses
- learnr
- Stata
- Qualtrics
---

Today, we're proud to announce the launch of a brand new feature on the IPUMS PMA Data Analysis Hub: our very first online course!

Whether you're a beginner-level data analyst exploring statistical software for the first time, or if you're a more advanced analyst looking for a guided tour of IPUMS PMA data, we think our new [Introduction to IPUMS PMA Data Analysis](../../introduction.html) is a great place to start. Over time, we'll add courses on more advanced topics in the new **Courses** menu in the navigation bar at the top of your screen.

<aside>
```{r, echo=F}
htmltools::a(
href = "../../introduction.html",
htmltools::img(src = "../../images/new_course.png")
)
```
[Click here](../../introduction.html) to get started
</aside>

We expect most people will probably need **about an hour** to complete the Introduction course, but you're welcome to work at your own pace. You can also leave and resume your progress at any time.

Upon completion, we offer a **downloadable certificate** signed by the IPUMS PMA team, plus a script containing all of the code you mastered during the course.

# Requirements

IPUMS PMA data are **free** to use, and all of our online courses will be free, as well. To get started, you just need to [register](https://pma.ipums.org/pma/register.shtml) and agree to our Terms of Use.

We've created exercises for **both R and Stata users**, so you'll need to choose a preferred language at the start of each course.

* R users: you'll find an embedded R console where you can practice coding exercises **right in your browser**. We've pre-installed all of the packages necessary to complete each exercise, and you'll receive **interactive feedback** to help you identify any mistakes along the way.
* Stata users: you'll need access to a copy of the Stata program. We'll provide example code that you'll run **offline**, and you'll need to use the output from Stata to answer multiple choice questions in our "guided practice" section.

<aside>
We're able to offer interactive practice and feedback to R users thanks to the amazing [learnr](https://rstudio.github.io/learnr/) and [gradethis](https://github.com/rstudio/gradethis) packages for R.
</aside>

IPUMS PMA courses are hosted by [Qualtrics](https://www.qualtrics.com/), so you **may need to deactive your browser's ad blocker** in order see course content. If you have any difficulties, please [contact us](mailto:[email protected])!
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