The Effective Statistician

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Picture shows: Interpretable Machine Learning

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”.
Picture shows: Picture shows: Simulations – your most powerful study design tool

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.
Picture shows: PSI Book club – dare to lead review

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.
Picture shows: Introduction to Clivoffective

Introduction to Clivoffective

In this episode, we explore what Clivoffective has to offer and how it benefits both statisticians and hiring managers. 
Picture shows: Killer statistician

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.
Picture shows: How to get our statistics community to the next level

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

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.
Picture shows: Announcing The Effective Statistician Academy

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.
Picture shows: Setting expectations – an art and a science

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?
Picture shows: How to avoid bad quality from programmers and data management

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.