From effective storytelling to strategic career-planning, the talents you wish with the intention to progress in your data science profession are varied and increasingly interdisciplinary. Unlike, say, stats or programming, these are also areas where structured educational environments, like degree programs or bootcamps, can only get you thus far.
Fortunately, TDS authors come from an incredibly diverse range of skilled and private backgrounds, and have learned a terrific deal about what works—and what doesn’t—in real-world situations across a big selection of organizations. For our highlights this week, we’ve brought together a robust lineup of articles that give attention to these less technical, but still crucial, facets of knowledge science work: they provide helpful insights based on these professionals’ lived experience.
