As a beginning data scientist, you’ll have quite a few subject areas that you need to learn (and eventually master). While you’ll certainly need to learn some math and statistics, math and stats are not the first things I recommend to most beginners. Almost always, I recommend that people start with data visualization. The reason […]
In last week’s blog, I explained why you should Master R (even if it may eventually become obsolete). I wrote that article to address people who claim mastering R is a bit of a waste of time (because it will eventually become obsolete). But when I suggested that R may eventually become obsolete, this seemed […]
In last week’s blog post I asked How much data science do you actually remember? It’s a critical question. If you study data science, but forget everything that you learn, you’ll be in big trouble when you go in for an interview. Or, you’ll be in big trouble if you actually get a data science […]
How many data science books have you read? 5? 10? A few dozen? How many free online courses have you taken? A few? How many blog posts have you read? (I’d be willing to bet: you’ve read dozens.) If you’re like most budding data scientists, you’ve probably consumed a lot of material. You probably even […]
The histogram is a very useful visualization tool, and you need to master it.
In the world of data visualization, the heatmap is underrated and underutilized. It has limitations, but overall, it’s an excellent tool in your data science and data visualization toolkit. After you’ve mastered the foundational visualization techniques (you can write the code for the basic plots in your sleep, right?), you should learn the heatmap. […]
Most people woke up on Wednesday morning to some combination of shock, joy, bemusement, and/or mild terror as Donald Trump unexpectedly won the presidency.
I say “unexpectedly” because …
The world has just entered one of the biggest transitions in history. That’s the contention of two MIT economists, Eric Brynjolfsson and Andrew McAfee. In their recent book, The Second Machine Age, they argue that big data, computation, and innovation are changing our economy and institutions with a magnitude greater than almost anything ever seen […]
A few weeks ago, an acquaintance told me that he was interested in getting started with machine learning. He’s a web developer who primarily works in Ruby and Python, but also has a small amount of experience with R. Day-to-day, his work is run-of-the-mill web development, and he’s confessed to me that he’s a bit […]
Claims of “the end of geography” and the flatness of the world notwithstanding, place still matters today. Discussing why place matters is somewhat beyond the scope of this post, so I will direct you to the excellent work of Parag Khanna and his book Connectography. To put it simply, the the future of business and […]