3 Practical Tips for Incorporating Data Science as a Web Developer

“There’s a culture gap: scientist’s come from Jupiter and web developers maybe from Saturn, but the fact that we can work together is our strength” — Gael Varoquaux

Here at Distributed, the demand for our data science teams have been increasing as the insights that can be drawn from the field are becoming more and more invaluable.

We’ve also noticed that our clients are hungry to learn more about data science and keen to up-skill their teams so we have put together a FREE resource called 100 hours of data science for all new clients in August and September 2017.

The truth is, data science is playing and will continue to play a huge role within web design. In fact, it’s pretty safe to say that web developers have a responsibility to produce designs that are both data driven and highly effective.

So without further ado, here are 3 practical ways web developers can become more familiar with the world of data science to either incorporate it into their work or to facilitate collaboration between data scientists and your web development team:

#1: Get familiar with the data science community online

The data science community is active online, and there are plenty of ways to engage with data scientists.

For example participating in data science related forums such as Reddit is a good way to gain insights on a wide range of topics relating to data science directly from professionals in the field.

Furthermore, it’s a good idea to follow influencers/thought leaders in the industry online. Another way to gain a deeper insight into the industry would be to subscribe to podcasts and newsletters. Here are some examples:


  • Becoming a data scientist.
  • Data skeptic.

Online newsletters:

  • Data science weekly.
  • Data elixir.

#2: Understand the Differences in Skill Set

In short, the job of a data scientist is to analyse data for actionable insights.

This involves tasks such as collating large data sets, before analysing them to identify patterns and trends and communicating their findings so that their insights can be put into practice.

A Data scientist’s skillset generally includes: predictive modelling, distributive computing, storytelling and data visualisation, machine learning and maths/stats.

#3: Learn their Language

If you would like to gain some of the skills data scientists have, or better understand what they do, check out the following:

  • DataCamp: designed to help you to master data analysis from the comfort of your home, regardless of your level of expertise.
  • You could use DataCamp to familiarise yourself with R which is an open source programming language for statistical analysis that is widely utilised by data scientists and statisticians
  • Coursera: There are several courses available on coursera to help you to get up to speed on the languages commonly used by data scientists and the various techniques and methods of analysis.


The interactions between data scientists and web developers will continue to increase as the demand for data-driven web designs increases.

Let’s have a chat about how your teams could benefit from collaborating with our data science teams.

I’m happy to jump on a video call to talk about the future of teams and how we’re helping shape it at Distributed.

If anyone has any comments/suggestions/additions please reply or tweet me @dstbtd