This course is designed for anyone who wishes to integrate programming into their research toolkit. You might have no experience with statistics, or you might be a senior quant stuck with SPSS in your day job, or even a PM or Designer who wants to learn how to integrate data analysis more effectively into your collaborations and product strategies.

It can be! As a mixed-methods research myself, I know it can be difficult to jump into statistics, charts, and numbers. However, dozens of my former students came from qualitative backgrounds and have found this course to be easy, interesting, and impactful. If you don't apply it to your work, you will at least learn new skills for collaboration!

The course is designed to take place over about 10 hours, split across three 3-hour days, with a first 1-hour optional prep day.

The course is taught in US time zones (morning PST) both during the week (1 week, 4 days) as well as across weekends (3 weeks), so keep an eye out for the schedule of the particular cohort you are currently applying for.

While the course is designed for live participation and interaction, the sessions are recorded and stored in Maven, so you can revisit them at a later time.

Please note that refunds are not available if you happen to skip a class session.

Each class is designed to be interactive, to provide you with the opportunity to ask questions as the material is taught.

Currently, cohorts are capped at 25 students per class session.

All textual materials are open-source and will be made available on GitHub.

Students who sign up for this course will gain access to our Maven cohort community, where you can ask questions, hold conversations, and review materials together.

There are no pre-requisites for this class! You do not need to know how to program/code, nor need any experience with statistics.

As part of class preparation, you will be required to install R and RStudio, but there is an optional prep day to help you debug any issues you run into.

There are some limited, need-based partial scholarships for enrolled university students and unemployed individuals (in both cases, evidence of your employment status will be required to receive support). For more information, please contact Alex directly.

To make a request for this need, please note it in your cohort application survey.

Yes! Many companies provide learning & development budgets to support exactly these kind of professional development classes. Check with your employer before you enroll.

If your company does not provide these kind of benefits currently, please consider requesting a special budget to support your professional development.

Near-full refunds are available up to 3 days before the course begins. NOTE: according to Maven's policies, "Stripe will keep a 2.9% +.30 fee" on all processed refunds.

Refunds are NOT available within 3 days of the course's start.

You cannot transfer payment to others; however, your registration can be postponed to a future cohort session.