I take a look at the results of O’Reilly’s survey on salaries for data scientists in 2021.

Additional materials: www.superdatascience.com/520

James Hodson joins us to discuss his philosophy and work at A.I. For Good and how they aim to promote sustainability and A.I. use for social issues.

In this episode you will learn:

Additional materials: www.superdatascience.com/519

This week, I provide a short but important bit of advice on failure.

Additional materials: www.superdatascience.com/518

Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.

In this episode you will learn:

Additional materials: www.superdatascience.com/517

In this episode, I finish up my saga into the effects of caffeine on productivity.

Additional materials: www.superdatascience.com/516

Chrys Wu joins us to discuss her community organizations, her tips, and her recommended resources for building data science communities for impact.

In this episode you will learn:

Additional materials: www.superdatascience.com/515

In this episode, I dive into the nuts and bolts of data on my experiment into caffeine and productivity.

Additional materials: www.superdatascience.com/514

Denis Rothman joins us to discuss his writing work in natural language processing, explainable AI, and more!

In this episode you will learn:

Additional materials: www.superdatascience.com/513

I dive into a personal experiment to test my productivity relative to my coffee intake and if caffeine is actually hurting my productivity.

Additional materials: www.superdatascience.com/512