The Effective Statistician Reproducible Research Course

Do you struggle reading your own code, let alone the code of your co-workers?

Is it painful to update or add analyses when you get questions from co-authors or reviewers?

Do you feel like there must be a better more effective way of working?

Many statisticians and data scientists – especially in academic settings – struggle with the same challenges.

The Effective Statistician Reproducible Research Course delivered by Heidi Seibold - Reproducible Research Expert – and Alexander Schacht helps you and your colleagues to conduct research in a reproducible way via a structured 6 step process.

Through this easy to implement 6 step process, you will learn best practices around:

• Organisation of files, folders, etc,
• Effective documentation,
• Stabilizing the computing environment, and
• Publishing in a reproducible way.

Additionally, you will learn about the strategy to drive the adoption of these practices across your organisation or working group.

After the course, you will have a system in place that makes it easy to work effectively for yourself and with colleagues. You will also know how to drive changes across your organisation and have taken steps to take your organisation to the next level with respect to reproducible research.

The Effective Statistician Reproducible Research Course in detail:

• About 4 hours of videos broken down in easy to view segments (lifetime access)
• Access to 4 one-hour questions and answer sessions with Heidi and Alexander spread over May, June, July, and September. These will be recorded and made available.

Save your spot now and enrol into The Effective Statistician Reproducible Research Course!

Your instructors:

Heidi Seibold

She helps research teams with open innovation and reproducible data science by providing interactive workshops and consulting. As a well known expert on open science and research software I give keynote talks and serve as an ambassador for good scientific practice in the digital era. She used to work as a biostatistics and machine learning researcher at the University of Zurich, LMU Munich, University of Bielefeld and Helmholtz AI.

Alexander Schacht

Alexander Schacht is a Statistician, Founder and Creator of The Effective Statistician, which includes a weekly podcast, several online courses and regular new content via social media. Alexander studied mathematics and received his PhD in biostatistics on non-parametric statistics from the University of Göttingen in Germany. He has authored more than 70 scientific manuscripts in peer-reviewed journals and regularly speaks at international conferences, such as PSI and EADV. With more than 20 years of experience working as a statistician in healthcare, Alexander is working primarily on phase IIIb and IV (RCT, observational studies, HTA submission, commercialisation work) with some regulatory work, as well as some work within the early phases of clinical development. Alexander is interested in a broad range of methodological areas with a specific focus on helping pharmaceutical and biotech companies make better, data-driven decisions. In fact, this keen interest saw Alexander become the chair of the EFSPI/SPI SIG on benefit-risk, founder and chair of the data visualisation SIG and the Launch and Lifecycle SIG. Alexander has also served PSI as a board director responsible for communications. Alexander is a happy husband and father of three wonderful kids, who he credits for his continued passion and drive to help patients worldwide. In his spare time, Alexander loves running and listening to podcasts.