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Growing Up Data Tools - Chapter 5

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 moving on with the most…

Analyze the Data! - Chapter 2

The Online Research Framework I Use at Data36…

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

Growing Up Data Tools - Chapter 5

Data Coding 101 – Introduction to Bash – ep1

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

Analyze the Data! - Chapter 2

Five Second Testing

Every online data analyst and/or researcher should use – or at least be familiar with – qualitative methods. Even if you are heavily into analytics and even if…

Growing Up Data Tools - Chapter 5

When and why to build your own data tools?

For the record: I’m a big supporter of the third-party data services (eg. Google Analytics, Hotjar, Crazyegg, Optimizely, Mixpanel, etc.). I like them, because they are easy to…

Growing Up Data Tools - Chapter 5

Data Coding 101 – How to install Python, SQL, R and Bash (for non-devs)

The ultimate step by step guide – for non-developers and wannabe data scientists! This is how to install R, Python, SQL and Bash in 30 minutes and start learning…

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Request data articles! Give feedback!

I want to react better to your needs! So: if you’d like to request a data article, if you are interested in a specific data topic or if…

Analyze the Data! - Chapter 2

The 5 rules of A/B testing

If you are in an online business, most probably, you know what A/B testing is. (Sometimes it’s called split testing or bucket testing). And there is a big chance,…

Analyze the Data! - Chapter 2

Predictive Analytics 101 – Part 2

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

Analyze the Data! - Chapter 2

Predictive Analytics 101 – Part 1

Predictive analytics is not a new or very complicated piece of science. As I mentioned before (Reporting, Optimizing, Predicting – 3 things that you can do with your…

Startup Data Tools - Chapter 4

Create a good data research plan! Step by step guide for online businesses.

Before you touch any of the tools, you have one extra assignment. Create your data research plan! It’s really-really important.

Get the Data - Chapter 1

How data collection works?

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

Communicate the Data! - Chapter 3

Data-resistance – How to evangelize the data driven mindset?

If you are reading this article, then most probably you care about data driven thinking and you like to make decisions backed by data. Bad news! Not everybody…

Analyze the Data! - Chapter 2

Reporting, Optimizing, Predicting – 3 things that you can do with your data

So there you are: you have millions and billions line of raw data. Regardless of which tools are you using to analyze it (Google Analytics, Mixpanel, Python, SQL,…

Startup Data Tools - Chapter 4

The Data Analyst’s Toolset (UPDATED: Aug, 2017)

In this post I collect the best data – and UX-research – tools and I break them down into 3 categories: 1. The baby steps: this is for you, if…

Get the Data - Chapter 1

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…

Analyze the Data! - Chapter 2

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

Have you ever heard of the so-called Fake-Door Testing? If not: Fake-door testing is a very easy method by which we can measure interest in a product (or a…

Analyze the Data! - Chapter 2

Funnel Analysis

What is funnel analysis? In a sentence: A powerful method of online data analysis which shows you the most important conversion steps of a user one by one. Something like this: How does…

Analyze the Data! - Chapter 2

Measuring Retention

Measuring retention? Why is it important? If you are running an online business, then these 2 goals are definitely on your list: To onboard as many new users as possible…

Startup Data Tools - Chapter 4

Product Research Interview – Product Development at Skyscanner

(This interview has been made March, 2015.) Last October news spread that Skyscanner bought Distinction. Since then, the change-over has been completed and the one-time Distinction is now 100%…