data science

Begin the Fugue, Part I

The past few months have been pretty exhausting. On top of all things lockdown and the global pandemic, a little over a month ago I was told that my job was “at risk” of redundancy.

Begin the Fugue, Part II

Vocationtional Vicissitudes After existing in this bootcamp space for the past few months, I feel like I am walking away with a very fresh take on what it means to teach in a vocational, rather than a liberal arts setting.

Begin the Fugue, Part III

What’s Next Having coached many people to apply and get their first jobs in the world of data science, I have now seen A LOT of job postings and understand that a JD (job description) is more of a wish list of an ideal candidate rather than a required listing of skills.

Hire Me (as a Data Scientist!), Part IV

Since this is my last post in the beer review series, I’ll keep this short and sweet in terms of analysis. Having done all of this, I do have a few reflections I would like to share after doing the One-Size-Fits-All-Data-Science Interview that I have included at the end.

Hire Me (as a Data Scientist!), Part III

Two questions down, two to go! For the third post I’ll explore the question: Which of the factors (aroma, taste, appearance, palate) are most important in determining the overall quality of a beer?

Hire Me (as a Data Scientist!), Part II

Continuing on from my earlier post, I’m now looking to tackle the question: If you had to pick 3 beers to recommend using only this data, which would you pick?