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Growing Up Data Tools - Chapter 5

SQL for Data Analysis – Tutorial for Beginners – ep3

Today I’ll show you the most essential SQL functions, that you will use for finding the maximums or the minimums (MAX, MIN) in a data set and to…

Growing Up Data Tools - Chapter 5

SQL for Data Analysis – Tutorial for Beginners – ep2

This is the second episode of my SQL for Data Analysis (for beginners) series and today I’ll show you every tiny little details of the SQL WHERE clause….

Growing Up Data Tools - Chapter 5

How to install SQL Workbench for postgreSQL

In my previous SQL for data analysis tutorial I’ve briefly mentioned, that I prefer SQL Workbench over pgadmin4 for SQL querying. Today I will show you, how you can install it…

Growing Up Data Tools - Chapter 5

SQL for Data Analysis – Tutorial for Beginners – ep1

SQL is a must, if you want to be a Data Analyst or a Data Scientist. I have worked with many online businesses in the last few years…

Analyze the Data! - Chapter 2

Usability testing (for Data Analysts)

Usability testing is a widely used research method to collect detailed and direct qualitative user feedback about your product (or website, mobile application, anything…) What is it exactly…

Growing Up Data Tools - Chapter 5

Data Coding 101 – Intro to Bash – ep6 (last episode)

This is the last piece of my “Data Coding 101: Introduction to Bash” series, where I introduce the very basics of how to use the command line for…

Growing Up Data Tools - Chapter 5

Data Coding 101 – Intro To Bash – ep5

In this article I will show you 3 data coding concepts, that won’t only be useful in bash, but Python and R as well! Today we will go…

Growing Up Data Tools - Chapter 5

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…

Growing Up Data Tools - Chapter 5

Data Coding 101 – Introduction To Bash – ep3

This is third episode of my Data Coding in Bash series, here on data36.com! We’ve already set up a fully functioning data server, have learnt the basic orientation…

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…

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…

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

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…