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.
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.
In this episode, Alun Bedding and I discuss how statisticians can become inspirational leaders and reach a higher level in their careers.
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.
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.
As statistical professionals, we can over-deliver expectations and make a real impact on our work projects. How?
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.
Statisticians and data scientists should invest in training programs to enhance their skills in Bayesian modeling, use open-source software for Bayesian modeling, and ensure that they have access to well trained computational analysts.
Losing a job is never an easy experience, that’s why preparing in advance and building a safety net for job security is crucial. In this episode, I discuss some tips on creating a Plan B strategy that can help you to stay employable.
In this episode, we will discuss one-armed observational studies and why they are, in most cases, not a good idea. We will also touch on the early days of my career as a statistician and how I initially approached one-armed observational studies.
In this episode, we discussed RCT Duplicate’s goals and recommendations for real-world evidence researchers based on findings from the initiative.