If you can’t fluently execute essential techniques – like visualization, manipulation, and analysis – then you need to revisit those things and focus on them. If that sounds like you, you need to rethink your learning strategy. Most data science students (and even some practitioners) can’t do these things fluently. I’m talking about the essential, foundational techniques, like data manipulation, data visualization, and data analysis. If you’re a beginner or intermediate data science student, it’s normal to still struggle with machine learning. To be clear, when I say “essential techniques” I’m not talking about advanced techniques, like machine learning, deep learning, etc. The reality is that many data science students are not fluent in the essential techniques. You need to be honest with yourself, because if you have weaknesses as a data scientist (or data science candidate), the only way you can correct those weaknesses is by being honest about where you need to improve. Or do you write your code slowly? Laboriously? Can you remember the syntax at all? Are you constantly looking things up? Is that how you write R data science code?ĭo you write code proficiently, accurately, rapidly, and confidently? Do you write your code from memory? To be fluent, is to be able to execute proficiently, accurately, rapidly, and confidently. Honestly, this idea of “fluency” almost perfectly encapsulates the skill level you need in order to achieve your goals. I find it a little odd that the concept of “fluency” is used so rarely among programmers and technologists. In casual use, “fluency” refers to language proficiency broadly, while in narrow use it refers to speaking a language flowingly, rather than haltingly. – Able to speak a language accurately, rapidly, and confidently – in a flowing way. If you’re still struggling to fluently write code, keep reading. Which one are you? Are you fluent in R, or are you constantly struggling to remember the essentials? … or instead, are you doing Google searches to find out how to execute basic data science techniques in R? How many data science books have you bought?Īfter taking courses and buying books, can you write R code rapidly and from memory? If you’re an aspiring data scientist, and you’re taking online courses and reading books, but not getting results, you need to regroup. I tried to do some elementary analysis recently, after almost a year later, and was not able to even do that” I was able to take a data analysis course on edX with no problem, following all the instruction and guides they provide, acing the course, but as you noted astutely, not learning or remembering much of it, because I had mostly cut and pasted the code. I have to say that it’s unfortunate to read something like this, but sadly it’s very common.Įssentially, he wrote that he took an online course, but still can’t write code: The basic argument, is that if you want to actually work as a data scientist, you need to know the essential tools backwards and forwards. A few weeks ago, I wrote an article saying that you should master R.
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