I have to disagree. The blog is very heavy on the data visualization -- but is that a bad thing? The posts effectively cover most of the data analysis timeline (collection, iterative exploration, model building, visualization) and they're well-explained and thoroughly-explored.

Others have said the same, but I'd wager the biggest issue is (a) the limited past roles that directly dealt with data science/analysis or (b) SF's narrow-minded hiring practices. Maybe a masters or data science bootcamp would go further than more blog posts?