Beyond Math and Python: The Other Key Data Science Skills You Should Develop

Feeling inspired to write your first TDS post? that
“Data scientists possess a unique perspective that allows them to come up with innovative business ideas of their own — ideas that are novel, strategic, or differentiating and are unlikely to come from anyone but a data scientist.”
AI has so thoroughly dominated conversations in recent years that it feels refreshing to hear about other ways for data scientists to stay on the cutting edge of their field.
For anyone on the data science management path—whether in its early stages or deeper into your career—it can sometimes feel like leadership skills are expected to grow organically with nothing more than the passage of time. While that might be true in some ways, on 
We know, we know: we promised no math. But what
As tools and data stacks grow in complexity, it becomes far too easy for product stakeholders to lose track of how all the moving pieces are supposed to work together.
“How can you take a nifty little machine-learning prototype in your notebook and develop it into a powerful full-stack web application?” Taking a few steps back from the nitty-gritty details of data analysis,
It’s not exactly news that strong storytelling is at the core of many, if not most data science roles; it remains an under-covered area in many programs, though—one that you’re just expected to magically improve in on your own.
As .

Until the next Variable,

TDS Team

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