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coding in data science and analytics

Data Coding 101 – Intro To Bash – ep4 (with video)

Data Coding in Bash – this is episode 4! Let’s continue with some basic bash best practices. Today I’ll show you 9 tips that will make your data…

coding in data science and analytics

Data Coding 101 – Introduction to Bash – ep2

It’s time to continue with learning data science and data coding in Bash! Last time I covered the very basic orientation commands. Now we’re moving on with the…

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The Conversion Rate Optimization Framework I Use at Data36…

… is exactly the same one that many well-known startup and e-commerce companies are using. However, somehow this fundamental CRO framework hasn’t been published anywhere so far! (As…

coding in data science and analytics

Data Coding 101 – Introduction to Bash – ep1

Note: to get the most out of this article, you should not just read it, but actually do the coding part with me! If you don’t have the…

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Five Second Test

Everyone who works on online research projects should use (or at least be familiar with) qualitative methods, too. Even if you are a data scientist who trusts the…

coding in data science and analytics

Google Analytics vs. SQL: When and why to build your own data tools

For the record: I’m a big fan of third-party data tools (e.g. Google Analytics, Hotjar, Crazyegg, Optimizely, Google Optimize). I like them because they are easy to use…

coding in data science and analytics

How to Install Python, SQL, R and Bash (for non-devs)

This is the ultimate step by step guide to installing Python, SQL, R and Bash and starting to learn coding for data science. It takes no more than…

statistics in data science and analytics

Predictive Analytics 101 – Part 2

Last week I promised to continue with the second Part of Predictive Analytics 101. If you haven’t read Part 1, please do that here: Predictive Analytics 101 Part 1….

statistics in data science and analytics

Predictive Analytics 101 – Part 1

Predictive analytics is not a new or very complicated field of science. As I mentioned before, it’s easy for anyone to understand at least the essence of it….

Strategy and Business in Data Science and Analytics

How data collection works

The first step for every data science project is data collection, that is, getting the actual raw data. There are two ways to do this: A) You can…

Strategy and Business in Data Science and Analytics

Data resistance – How to evangelize data-driven culture

If you are reading this article, then you probably care about data-driven thinking and like to make decisions supported by data. Bad news!Not everybody at your organization is…

Strategy and Business in Data Science and Analytics

Why Data Literacy Matters

I ran a data driven test a few weeks ago at the startup where I work, where I tried to drive paid app installs. Along the way I…

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Fake Door Testing: an “evil” but efficient testing method

Have you ever heard of fake door testing? If not: Fake door testing is an easy yet very powerful method with which you can measure interest in a…

Strategy and Business in Data Science and Analytics

What is Funnel Analysis?

Funnel analysis is a powerful analytics method that shows visually the conversion between the most important steps of the user journey. It helps you understand what percent of…

Strategy and Business in Data Science and Analytics

Customer Retention Analysis (calculating retention rate, running cohort analysis, and more…)

Are you running an online business?Do you care about converting your new users into frequently returning users? Great! In that case customer retention analysis will play a significant…

thoughts about data science and analytics

The great Big Data misunderstanding

“Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they…