3 tips to become a SUPER Data Scientist

Three traits that can help a data scientist stand out

Despite the extensive set of skills and knowledge required, the Data Scientist job is one of the fastest-growing and trending career paths in our time. Apart from the more traditional skillsets such as data engineering, machine learning, and pandas, these three tips will transform you into a SUPER data scientist.

TIP #1 Learn Python Programming

While this may appear to be a self-evident requirement for data scientists, the reality is that the majority of data scientists only script in Python and thus rely on pre-built libraries to perform their daily tasks. This can handle the vast majority of tasks, but there are times when custom code is required to solve a problem, and Python scripting cannot assist. For instance, I once had to create a custom Matrix Factorization class and another class to perform GridSearch on this custom Matrix Factorization class. This was not a problem for me because I was a software engineer prior to entering the world of data science, but it can be extremely difficult for someone without a software engineering background. Thus, learning Python programming and developing your own classes, functions, and modules will enable you to solve any problem and therefore distinguish you.

TIP #2 Learn clean coding

The vast majority of data scientists pay scant attention to the code. This is normal…