Goodpods Top 100 Natural Sciences Podcasts
Listen now to The Effective Statistician – in associat
ion with PSI podcast
ion with PSI podcast

Interpretable Machine Learning
In this episode, we have the privilege of interviewing Serg Masis who authored the book “Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples”.

Simulations – your most powerful study design tool
Together with Kim Hacquoil and Jamie Inshaw in this episode, we discuss the benefits of using simulations as a study design tool.

PSI Book Club – dare to lead review
In this podcast episode, Marius and I discuss Brené Brown’s “Dare to Lead”, a book that dives into the importance of vulnerability-based leadership.

Introduction to Clivoffective
In this episode, we explore what Clivoffective has to offer and how it benefits both statisticians and hiring managers.

Killer statistician
With a PhD in statistics from UC Riverside, Debarshi believes that to be a “killer statistician,” one must adopt the roles of a detective, lawyer, and storyteller.

How to get our statistics community to the next level
In this episode, Alun Bedding and I discuss how statisticians can become inspirational leaders and reach a higher level in their careers.

5 Reasons for Career Failure
Today’s episode is inspired by a German podcast that delved into five key reasons for career failure and I fine-tuned this to fit statisticians.

Announcing The Effective Statistician Academy
If you’re a statistician, data scientist, or programmer looking for quality training opportunities that will help you advance your career, you might want to look into The Effective Statistician Academy.

Setting expectations – an art and a science
As statistical professionals, we can over-deliver expectations and make a real impact on our work projects. How?

How to avoid bad quality from programmers and data management
As statisticians, we rely on good quality from programmers and data management. And if you talk to your colleagues, everybody has a story about a poor experience.

